This document proposes and evaluates scheduling policies in a virtualized grid environment that aim to minimize VM preemptions and increase resource utilization. It first presents an analytical queuing model of a grid with multiple clusters receiving local and external requests. It then proposes a two-part scheduling policy: 1) A workload allocation policy that determines the fraction of external requests allocated to each cluster in a way that minimizes preemptions, based on the analytical model. 2) A dispatch policy that prioritizes more valuable external requests to reduce their chance of preemption. The policies are evaluated based on metrics like preemptions, utilization and response time. Results show the proposed policies significantly outperform others in minimizing preemptions across different workload scenarios
SURVEY ON DYNAMIC DATA SHARING IN PUBLIC CLOUD USING MULTI-AUTHORITY SYSTEMijiert bestjournal
The continuous development of cloud computing,seve ral trends are opening up to new forms of outsourci ng. Public data integrity auditing is not secure and efficient for shared dynamic data. In existing scheme figure out the collusion attack and provide an efficient public integrity au diting scheme,with the help of secure group user r evocation based on vector commitment and verifier�local revocation group signature. It provides secure and efficient s cheme which support public checking and efficient user revocati on. Problem of existing work they used TPA (Third p arty auditor) for key generation and key agreement. Use of TPA as central system if it fails then whole system gets failed. If we are working with cloud,user identity is major conc ern because user doesn�t want to reveal his persona l information to public. This concept not included in it. In this paper,based these con�s we proposed a dynamic dat a sharing in public cloud using multi-authority system. The prop osed scheme is able to protect user�s privacy again st each single authority. .
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
A wireless network consists of a set of wireless nodes forming the network. The bandwidth allocation scheme used in wireless networks should automatically adapt to the network’s environments, where issues such as mobility are highly variable. This paper proposes a method to distribute the bandwidth for wireless network nodes depending on dynamic methodology;this methodology uses intelligent clustering techniques that depend on the student’s distribution at the university campus, rather than the classical allocation methods. We propose a clustering-based approach to solve the dynamic bandwidth allocation problem in wireless networks, enabling wireless nodes to adapt their bandwidth allocation according to the changing number of expected users over time. The proposed solution allows the optimal online bandwidth allocation based on the data extracted from the lectures timetable, and fed to the wireless network control nodes, allowing them to adapt to their environment. The environment data is processed and clustered using the KMeans clustering algorithm to identify potential peak times for every wireless node. The proposed solution feasibility is tested by applying the approach to a case study, at the Arab American University campus wireless network.
A TIME INDEX BASED APPROACH FOR CACHE SHARING IN MOBILE ADHOC NETWORKS cscpconf
Initially wireless networks were fully infrastructure based and hence imposed the necessity to
install base station. Base station leads to single point of failure and causes scalability problems.
With the advent of mobile adhoc networks, these problems are mitigated, by allowing certain
mobile nodes to form a dynamic and temporary communication network without any preexisting
infrastructure. Caching is an important technique to enhance the performance in any network. Particularly, in MANETs, it is important to cache frequently accessed data not only to reduce average latency and wireless bandwidth but also to avoid heavy traffic near the data centre. With data being cached by mobile nodes, a request to the data centre can easily be serviced by a nearby mobile node instead of the data centre alone. In this paper we propose a system , Time Index Based Approach that focuses on providing recent data on demand basis. In this system, the data comes along with a time stamp. In our work we propose three policies namely Item Discovery, Item Admission and Item Replacement, to provide data availability even with limited resources. Data consistency is ensured here since if the mobile client receives the same data item with an updated time, the previous content along with time is replaced to provide only recent data. Data availability is promised by mobile nodes, instead of the data server. We enhance the space availability in a node by deploying automated replacement policy.
The advent of Big Data has seen the emergence of new processing and storage challenges. These challenges are often solved by distributed processing. Distributed systems are inherently dynamic and unstable, so it is realistic to expect that some resources will fail during use. Load balancing and task scheduling is an important step in determining the performance of parallel applications. Hence the need to design load balancing algorithms adapted to grid computing. In this paper, we propose a dynamic and hierarchical load balancing strategy at two levels: Intrascheduler load balancing, in order to avoid the use of the large-scale communication network, and interscheduler load balancing, for a load regulation of our whole system. The strategy allows improving the average response time of CLOAK-Reduce application tasks with minimal communication. We first focus on the three performance indicators, namely response time, process latency and running time of MapReduce tasks.
SURVEY ON DYNAMIC DATA SHARING IN PUBLIC CLOUD USING MULTI-AUTHORITY SYSTEMijiert bestjournal
The continuous development of cloud computing,seve ral trends are opening up to new forms of outsourci ng. Public data integrity auditing is not secure and efficient for shared dynamic data. In existing scheme figure out the collusion attack and provide an efficient public integrity au diting scheme,with the help of secure group user r evocation based on vector commitment and verifier�local revocation group signature. It provides secure and efficient s cheme which support public checking and efficient user revocati on. Problem of existing work they used TPA (Third p arty auditor) for key generation and key agreement. Use of TPA as central system if it fails then whole system gets failed. If we are working with cloud,user identity is major conc ern because user doesn�t want to reveal his persona l information to public. This concept not included in it. In this paper,based these con�s we proposed a dynamic dat a sharing in public cloud using multi-authority system. The prop osed scheme is able to protect user�s privacy again st each single authority. .
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
A wireless network consists of a set of wireless nodes forming the network. The bandwidth allocation scheme used in wireless networks should automatically adapt to the network’s environments, where issues such as mobility are highly variable. This paper proposes a method to distribute the bandwidth for wireless network nodes depending on dynamic methodology;this methodology uses intelligent clustering techniques that depend on the student’s distribution at the university campus, rather than the classical allocation methods. We propose a clustering-based approach to solve the dynamic bandwidth allocation problem in wireless networks, enabling wireless nodes to adapt their bandwidth allocation according to the changing number of expected users over time. The proposed solution allows the optimal online bandwidth allocation based on the data extracted from the lectures timetable, and fed to the wireless network control nodes, allowing them to adapt to their environment. The environment data is processed and clustered using the KMeans clustering algorithm to identify potential peak times for every wireless node. The proposed solution feasibility is tested by applying the approach to a case study, at the Arab American University campus wireless network.
A TIME INDEX BASED APPROACH FOR CACHE SHARING IN MOBILE ADHOC NETWORKS cscpconf
Initially wireless networks were fully infrastructure based and hence imposed the necessity to
install base station. Base station leads to single point of failure and causes scalability problems.
With the advent of mobile adhoc networks, these problems are mitigated, by allowing certain
mobile nodes to form a dynamic and temporary communication network without any preexisting
infrastructure. Caching is an important technique to enhance the performance in any network. Particularly, in MANETs, it is important to cache frequently accessed data not only to reduce average latency and wireless bandwidth but also to avoid heavy traffic near the data centre. With data being cached by mobile nodes, a request to the data centre can easily be serviced by a nearby mobile node instead of the data centre alone. In this paper we propose a system , Time Index Based Approach that focuses on providing recent data on demand basis. In this system, the data comes along with a time stamp. In our work we propose three policies namely Item Discovery, Item Admission and Item Replacement, to provide data availability even with limited resources. Data consistency is ensured here since if the mobile client receives the same data item with an updated time, the previous content along with time is replaced to provide only recent data. Data availability is promised by mobile nodes, instead of the data server. We enhance the space availability in a node by deploying automated replacement policy.
The advent of Big Data has seen the emergence of new processing and storage challenges. These challenges are often solved by distributed processing. Distributed systems are inherently dynamic and unstable, so it is realistic to expect that some resources will fail during use. Load balancing and task scheduling is an important step in determining the performance of parallel applications. Hence the need to design load balancing algorithms adapted to grid computing. In this paper, we propose a dynamic and hierarchical load balancing strategy at two levels: Intrascheduler load balancing, in order to avoid the use of the large-scale communication network, and interscheduler load balancing, for a load regulation of our whole system. The strategy allows improving the average response time of CLOAK-Reduce application tasks with minimal communication. We first focus on the three performance indicators, namely response time, process latency and running time of MapReduce tasks.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...ijcsit
In supporting its large scale, multidisciplinary scientific research efforts across all the university campuses and by the research personnel spread over literally every corner of the state, the state of Nevada needs to build and leverage its own Cyber infrastructure. Following the well-established as-a-service model, this state-wide Cyber infrastructure that consists of data acquisition, data storage, advanced instruments, visualization, computing and information processing systems, and people, all seamlessly linked together through a high-speed network, is designed and operated to deliver the benefits of Cyber infrastructure-as-aService (CaaS).There are three major service groups in this CaaS, namely (i) supporting infrastructural
services that comprise sensors, computing/storage/networking hardware, operating system, management tools, virtualization and message passing interface (MPI); (ii) data transmission and storage services that provide connectivity to various big data sources, as well as cached and stored datasets in a distributed
storage backend; and (iii) processing and visualization services that provide user access to rich processing and visualization tools and packages essential to various scientific research workflows. Built on commodity hardware and open source software packages, the Southern Nevada Research Cloud(SNRC)and a data repository in a separate location constitute a low cost solution to deliver all these services around CaaS. The service-oriented architecture and implementation of the SNRC are geared to encapsulate as much detail of big data processing and cloud computing as possible away from end users; rather scientists only need to learn and access an interactive web-based interface to conduct their collaborative, multidisciplinary, dataintensive research. The capability and easy-to-use features of the SNRC are demonstrated through a use case that attempts to derive a solar radiation model from a large data set by regression analysis.
Neuro-Fuzzy System Based Dynamic Resource Allocation in Collaborative Cloud C...neirew J
Cloud collaboration is an emerging technology which enables sharing of computer files using cloud
computing. Here the cloud resources are assembled and cloud services are provided using these resources.
Cloud collaboration technologies are allowing users to share documents. Resource allocation in the cloud
is challenging because resources offer different Quality of Service (QoS) and services running on these
resources are risky for user demands. We propose a solution for resource allocation based on multi
attribute QoS Scoring considering parameters such as distance to the resource from user site, reputation of
the resource, task completion time, task completion ratio, and load at the resource. The proposed algorithm
referred to as Multi Attribute QoS scoring (MAQS) uses Neuro Fuzzy system. We have also included a
speculative manager to handle fault tolerance. In this paper it is shown that the proposed algorithm
perform better than others including power trust reputation based algorithms and harmony method which
use single attribute to compute the reputation score of each resource allocated.
NEURO-FUZZY SYSTEM BASED DYNAMIC RESOURCE ALLOCATION IN COLLABORATIVE CLOUD C...ijccsa
Cloud collaboration is an emerging technology which enables sharing of computer files using cloud
computing. Here the cloud resources are assembled and cloud services are provided using these resources.
Cloud collaboration technologies are allowing users to share documents. Resource allocation in the cloud
is challenging because resources offer different Quality of Service (QoS) and services running on these
resources are risky for user demands. We propose a solution for resource allocation based on multi
attribute QoS Scoring considering parameters such as distance to the resource from user site, reputation of
the resource, task completion time, task completion ratio, and load at the resource. The proposed algorithm
referred to as Multi Attribute QoS scoring (MAQS) uses Neuro Fuzzy system. We have also included a
speculative manager to handle fault tolerance. In this paper it is shown that the proposed algorithm
perform better than others including power trust reputation based algorithms and harmony method which
use single attribute to compute the reputation score of each resource allocated.
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Irrational node detection in multihop cellular networks using accounting centereSAT Journals
Abstract In multihop cellular networks mobile nodes typically transmit packets during intermediate mobile nodes for enhancing recital. Stingy nodes typically don't collaborate that incorporates a negative result on the network fairness and recital. A fair, inexpensive and best incentive mechanism by Selfish Node Detection (FESCIMbySND) has been projected to stimulate the mobile node’s cooperation. Hashing operations area unit employed in order to extend the safety. Trivial Hash perform has been wont to improve end-to-end delay and outturn. Additionally Cyclic Redundancy Check Mechanism has been used to spot the ridiculous nodes that involve themselves in sessions with the intention of dropping the in sequence packets. Moreover, to cut back the impact at the Accounting Center a Border node has been commend the task of propose the checks employing a digital signature. Keywords: Border Node Mechanism, Cyclic Redundancy Check, Selfish nodes, Trivial Hash Function
CONTENT BASED DATA TRANSFER MECHANISM FOR EFFICIENT BULK DATA TRANSFER IN GRI...ijgca
A new class of Data Grid infrastructure is needed to support management, transport, distributed access, and analysis of terabyte and peta byte of data collections by thousands of users. Even though some of the existing data management systems (DMS) of Grid computing infrastructures provides methodologies to handle bulk data transfer. These technologies are not usable in addressing some kind of simultaneous data
access requirements. Often, in most of the scientific computing environments, a common data will be needed to access from different locations. Further, most of such computing entities will wait for a common scientific data (such as a data belonging to an astronomical phenomenon) which will be published only
when it is available. These kinds of data access needs were not yet addressed in the design of data component Grid Access to Secondary Storage (GASS) or GridFTP. In this paper, we address an application layer content based data transfer scheme for grid computing environments. By using the
proposed scheme in a grid computing environment, we can simultaneously move bulk data in an efficient way using simple subscribe and publish mechanism.
Access Control and Revocation for Digital Assets on Cloud with Consideration ...IJERA Editor
In cloud computing applications, users’ data and applications are hosted by cloud providers. With internet and cloud availability increasing numbers of people are storing their content on cloud. Also with presence of social networking, contents stored on cloud are also shared. This requires more security for the contents on cloud. Traditional security solution address only encryption, decryption of data on cloud and its access control , but with this new trend of sharing, the scope of security becomes even higher. In this paper we propose a solution of integrated access control for contents shared on cloud and its efficient revocation.
Caching on Named Data Network: a Survey and Future Research IJECEIAES
The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that are classified into main points. The brief explanation of advantages and disadvantages are presented to make it easy to understand. Finally, proposed the open challenge related to the caching mechanism to improve NDN performance.
Dynamic Resource Provisioning with Authentication in Distributed DatabaseEditor IJCATR
Data center have the largest consumption amounts of energy in sharing the power. The public cloud workloads of different
priorities and performance requirements of various applications [4]. Cloud data center have capable of sensing an opportunity to present
different programs. In my proposed construction and the name of the security level of imperturbable privacy leakage rarely distributed
cloud system to deal with the persistent characteristics there is a substantial increases and information that can be used to augment the
profit, retrenchment overhead or both. Data Mining Analysis of data from different perspectives and summarizing it into useful
information is a process. Three empirical algorithms have been proposed assignments estimate the ratios are dissected theoretically and
compared using real Internet latency data recital of testing methods
Survey on cloud backup services of personal storageeSAT Journals
Abstract In widespread cloud environment cloud services is tremendously growing due to large amount of personal computation data. Deduplication process is used for avoiding the redundant data. A cloud storage environment for data backup in personal computing devices facing various challenge, of source deduplication for the cloud backup services with low deduplication efficiency. Challenges facing in the process of deduplication for cloud backup service are-1)Low deduplication efficiency due to exclusive access to large amount of data and limited system resources of PC based client site.2)Low data transfer efficiency due to transferring deduplicate data from source to backup server are typically small but that can be often across the WAN. Keywords- Cloud computing, Deduplication, cloud backup, application awareness
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A Cooperative Cache Management Scheme for IEEE802.15.4 based Wireless Sensor ...IJECEIAES
Wireless Sensor Networks (WSNs) based on the IEEE 802.15.4 MAC and PHY layer standards is a recent trend in the market. It has gained tremendous attention due to its low energy consumption characteristics and low data rates. However, for larger networks minimizing energy consumption is still an issue because of the dissemination of large overheads throughout the network. This consumption of energy can be reduced by incorporating a novel cooperative caching scheme to minimize overheads and to serve data with minimal latency and thereby reduce the energy consumption. This paper explores the possibilities to enhance the energy efficiency by incorporating a cooperative caching strategy.
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...ijcsit
3D reconstruction is a technique used in computer vision which has a wide range of applications in
areas like object recognition, city modelling, virtual reality, physical simulations, video games and
special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required.
Such systems were often very expensive and was only available for industrial or research purpose.
With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design
inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and
processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition,
the goal of this work also included making the 3D scanning process fully automated by building and
integrating a turntable alongside the software. This means the user can perform a full 3D scan only by
a press of a few buttons from our dedicated graphical user interface. Three main steps were followed
to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system
acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and
convert the acquired point cloud data into a watertight mesh of good quality. Third, export the
reconstructed model to a 3D printer to obtain a proper 3D print of the model.
Allocation Strategies of Virtual Resources in Cloud-Computing NetworksIJERA Editor
In distributed computing, Cloud computing facilitates pay per model as per user demand and requirement.
Collection of virtual machines including both computational and storage resources will form the Cloud. In
Cloud computing, the main objective is to provide efficient access to remote and geographically distributed
resources. Cloud faces many challenges, one of them is scheduling/allocation problem. Scheduling refers to a
set of policies to control the order of work to be performed by a computer system. A good scheduler adapts its
allocation strategy according to the changing environment and the type of task. In this paper we will see FCFS,
Round Robin scheduling in addition to Linear Integer Programming an approach of resource allocation.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...ijcsit
In supporting its large scale, multidisciplinary scientific research efforts across all the university campuses and by the research personnel spread over literally every corner of the state, the state of Nevada needs to build and leverage its own Cyber infrastructure. Following the well-established as-a-service model, this state-wide Cyber infrastructure that consists of data acquisition, data storage, advanced instruments, visualization, computing and information processing systems, and people, all seamlessly linked together through a high-speed network, is designed and operated to deliver the benefits of Cyber infrastructure-as-aService (CaaS).There are three major service groups in this CaaS, namely (i) supporting infrastructural
services that comprise sensors, computing/storage/networking hardware, operating system, management tools, virtualization and message passing interface (MPI); (ii) data transmission and storage services that provide connectivity to various big data sources, as well as cached and stored datasets in a distributed
storage backend; and (iii) processing and visualization services that provide user access to rich processing and visualization tools and packages essential to various scientific research workflows. Built on commodity hardware and open source software packages, the Southern Nevada Research Cloud(SNRC)and a data repository in a separate location constitute a low cost solution to deliver all these services around CaaS. The service-oriented architecture and implementation of the SNRC are geared to encapsulate as much detail of big data processing and cloud computing as possible away from end users; rather scientists only need to learn and access an interactive web-based interface to conduct their collaborative, multidisciplinary, dataintensive research. The capability and easy-to-use features of the SNRC are demonstrated through a use case that attempts to derive a solar radiation model from a large data set by regression analysis.
Neuro-Fuzzy System Based Dynamic Resource Allocation in Collaborative Cloud C...neirew J
Cloud collaboration is an emerging technology which enables sharing of computer files using cloud
computing. Here the cloud resources are assembled and cloud services are provided using these resources.
Cloud collaboration technologies are allowing users to share documents. Resource allocation in the cloud
is challenging because resources offer different Quality of Service (QoS) and services running on these
resources are risky for user demands. We propose a solution for resource allocation based on multi
attribute QoS Scoring considering parameters such as distance to the resource from user site, reputation of
the resource, task completion time, task completion ratio, and load at the resource. The proposed algorithm
referred to as Multi Attribute QoS scoring (MAQS) uses Neuro Fuzzy system. We have also included a
speculative manager to handle fault tolerance. In this paper it is shown that the proposed algorithm
perform better than others including power trust reputation based algorithms and harmony method which
use single attribute to compute the reputation score of each resource allocated.
NEURO-FUZZY SYSTEM BASED DYNAMIC RESOURCE ALLOCATION IN COLLABORATIVE CLOUD C...ijccsa
Cloud collaboration is an emerging technology which enables sharing of computer files using cloud
computing. Here the cloud resources are assembled and cloud services are provided using these resources.
Cloud collaboration technologies are allowing users to share documents. Resource allocation in the cloud
is challenging because resources offer different Quality of Service (QoS) and services running on these
resources are risky for user demands. We propose a solution for resource allocation based on multi
attribute QoS Scoring considering parameters such as distance to the resource from user site, reputation of
the resource, task completion time, task completion ratio, and load at the resource. The proposed algorithm
referred to as Multi Attribute QoS scoring (MAQS) uses Neuro Fuzzy system. We have also included a
speculative manager to handle fault tolerance. In this paper it is shown that the proposed algorithm
perform better than others including power trust reputation based algorithms and harmony method which
use single attribute to compute the reputation score of each resource allocated.
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Irrational node detection in multihop cellular networks using accounting centereSAT Journals
Abstract In multihop cellular networks mobile nodes typically transmit packets during intermediate mobile nodes for enhancing recital. Stingy nodes typically don't collaborate that incorporates a negative result on the network fairness and recital. A fair, inexpensive and best incentive mechanism by Selfish Node Detection (FESCIMbySND) has been projected to stimulate the mobile node’s cooperation. Hashing operations area unit employed in order to extend the safety. Trivial Hash perform has been wont to improve end-to-end delay and outturn. Additionally Cyclic Redundancy Check Mechanism has been used to spot the ridiculous nodes that involve themselves in sessions with the intention of dropping the in sequence packets. Moreover, to cut back the impact at the Accounting Center a Border node has been commend the task of propose the checks employing a digital signature. Keywords: Border Node Mechanism, Cyclic Redundancy Check, Selfish nodes, Trivial Hash Function
CONTENT BASED DATA TRANSFER MECHANISM FOR EFFICIENT BULK DATA TRANSFER IN GRI...ijgca
A new class of Data Grid infrastructure is needed to support management, transport, distributed access, and analysis of terabyte and peta byte of data collections by thousands of users. Even though some of the existing data management systems (DMS) of Grid computing infrastructures provides methodologies to handle bulk data transfer. These technologies are not usable in addressing some kind of simultaneous data
access requirements. Often, in most of the scientific computing environments, a common data will be needed to access from different locations. Further, most of such computing entities will wait for a common scientific data (such as a data belonging to an astronomical phenomenon) which will be published only
when it is available. These kinds of data access needs were not yet addressed in the design of data component Grid Access to Secondary Storage (GASS) or GridFTP. In this paper, we address an application layer content based data transfer scheme for grid computing environments. By using the
proposed scheme in a grid computing environment, we can simultaneously move bulk data in an efficient way using simple subscribe and publish mechanism.
Access Control and Revocation for Digital Assets on Cloud with Consideration ...IJERA Editor
In cloud computing applications, users’ data and applications are hosted by cloud providers. With internet and cloud availability increasing numbers of people are storing their content on cloud. Also with presence of social networking, contents stored on cloud are also shared. This requires more security for the contents on cloud. Traditional security solution address only encryption, decryption of data on cloud and its access control , but with this new trend of sharing, the scope of security becomes even higher. In this paper we propose a solution of integrated access control for contents shared on cloud and its efficient revocation.
Caching on Named Data Network: a Survey and Future Research IJECEIAES
The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that are classified into main points. The brief explanation of advantages and disadvantages are presented to make it easy to understand. Finally, proposed the open challenge related to the caching mechanism to improve NDN performance.
Dynamic Resource Provisioning with Authentication in Distributed DatabaseEditor IJCATR
Data center have the largest consumption amounts of energy in sharing the power. The public cloud workloads of different
priorities and performance requirements of various applications [4]. Cloud data center have capable of sensing an opportunity to present
different programs. In my proposed construction and the name of the security level of imperturbable privacy leakage rarely distributed
cloud system to deal with the persistent characteristics there is a substantial increases and information that can be used to augment the
profit, retrenchment overhead or both. Data Mining Analysis of data from different perspectives and summarizing it into useful
information is a process. Three empirical algorithms have been proposed assignments estimate the ratios are dissected theoretically and
compared using real Internet latency data recital of testing methods
Survey on cloud backup services of personal storageeSAT Journals
Abstract In widespread cloud environment cloud services is tremendously growing due to large amount of personal computation data. Deduplication process is used for avoiding the redundant data. A cloud storage environment for data backup in personal computing devices facing various challenge, of source deduplication for the cloud backup services with low deduplication efficiency. Challenges facing in the process of deduplication for cloud backup service are-1)Low deduplication efficiency due to exclusive access to large amount of data and limited system resources of PC based client site.2)Low data transfer efficiency due to transferring deduplicate data from source to backup server are typically small but that can be often across the WAN. Keywords- Cloud computing, Deduplication, cloud backup, application awareness
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A Cooperative Cache Management Scheme for IEEE802.15.4 based Wireless Sensor ...IJECEIAES
Wireless Sensor Networks (WSNs) based on the IEEE 802.15.4 MAC and PHY layer standards is a recent trend in the market. It has gained tremendous attention due to its low energy consumption characteristics and low data rates. However, for larger networks minimizing energy consumption is still an issue because of the dissemination of large overheads throughout the network. This consumption of energy can be reduced by incorporating a novel cooperative caching scheme to minimize overheads and to serve data with minimal latency and thereby reduce the energy consumption. This paper explores the possibilities to enhance the energy efficiency by incorporating a cooperative caching strategy.
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...ijcsit
3D reconstruction is a technique used in computer vision which has a wide range of applications in
areas like object recognition, city modelling, virtual reality, physical simulations, video games and
special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required.
Such systems were often very expensive and was only available for industrial or research purpose.
With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design
inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and
processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition,
the goal of this work also included making the 3D scanning process fully automated by building and
integrating a turntable alongside the software. This means the user can perform a full 3D scan only by
a press of a few buttons from our dedicated graphical user interface. Three main steps were followed
to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system
acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and
convert the acquired point cloud data into a watertight mesh of good quality. Third, export the
reconstructed model to a 3D printer to obtain a proper 3D print of the model.
Allocation Strategies of Virtual Resources in Cloud-Computing NetworksIJERA Editor
In distributed computing, Cloud computing facilitates pay per model as per user demand and requirement.
Collection of virtual machines including both computational and storage resources will form the Cloud. In
Cloud computing, the main objective is to provide efficient access to remote and geographically distributed
resources. Cloud faces many challenges, one of them is scheduling/allocation problem. Scheduling refers to a
set of policies to control the order of work to be performed by a computer system. A good scheduler adapts its
allocation strategy according to the changing environment and the type of task. In this paper we will see FCFS,
Round Robin scheduling in addition to Linear Integer Programming an approach of resource allocation.
Pre-allocation Strategies of Computational Resources in Cloud Computing using...ijccsa
One of the major challenges of cloud computing is the management of request-response coupling and optimal allocation strategies of computational resources for the various types of service requests. In the normal situations the intelligence required to classify the nature and order of the request using standard methods is insufficient because the arrival of request is at a random fashion and it is meant for multiple resources with different priority order and variety. Hence, it becomes absolutely essential that we identify the trends of different request streams in every category by auto classifications and organize pre allocation strategies in a predictive way. It calls for designs of intelligent modes of interaction between the client request and cloud computing resource manager. This paper discusses about the corresponding scheme using Adaptive Resonance Theory-2.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Parallel and Distributed System IEEE 2015 ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for the year 2015
A survey on various resource allocation policies in cloud computing environmenteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
A survey on various resource allocation policies in cloud computing environmenteSAT Journals
Abstract Cloud computing is bringing a revolution in computing environment replacing traditional software installations, licensing issues into complete on-demand services through internet. In Cloud computing multiple cloud users can request number of cloud services simultaneously. So there must be a provision that all resources are made available to requesting user in efficient manner to satisfy their need. Resource allocation is based on quality of service and service level agreement. In cloud computing environment, to allocate resources to the user there are several methods but provider should consider the efficient way to guarantee that the applications’ requirements are attended to correctly and satisfy the user’s need This paper survey different resource allocation policies used in cloud computing environment. Keywords: Cloud computing, Resource allocation
Parallel and Distributed System IEEE 2015 ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for the year 2015
Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parame...IJECEIAES
The purpose of this paper is to provision the on demand resources to the end users as per their need using prediction method in cloud computing environment. The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud. However, the dynamical management of resources for variable workloads remains a challenging problem for cloud providers. This problem can be solved by using a prediction based adaptive resource provisioning mechanism, which can estimate the upcoming resource demands of applications. The present research introduces a prediction based resource provisioning model for the allocation of resources in advance. The proposed approach facilitates the release of unused resources in the pool with quality of service (QoS), which is defined based on prediction model to perform the allocation of resources in advance. In this work, the model is used to determine the future workload prediction for user requests on web servers, and its impact toward achieving efficient resource provisioning in terms of resource exploitation and QoS. The main contribution of this paper is to develop the prediction model for efficient and dynamic resource provisioning to meet the requirements of end users.
A Review on Resource Discovery Strategies in Grid Computingiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Efficient architectural framework of cloud computing Souvik Pal
Cloud computing is that enables adaptive, favorable and on-demand network access to a collective pool of adjustable and configurable computing physical resources which networks, servers, bandwidth, storage that can be swiftly provisioned and released with negligible supervision endeavor or service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. However, clouds are Internet-based concept and try to disguise complexity overhead for end users. Cloud service providers (CSPs) use many structural designs combined with self-service capabilities and ready-to-use facilities for computing resources, which are enabled through network infrastructure especially the internet which is an important consideration. This paper provides an efficient architectural Framework for cloud computing that may lead to better performance and faster access.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Improving resource utilization in infrastructural cloudeSAT Journals
Abstract
In this paper, an introspective overview is made on the design aspects of (Software as Service) Cloud system by improving
infrastructure utilization integrating different lease and scheduling techniques for user and resources to implement On-demand
allocation of resources to the user. The primary aim of Cloud Computing is to provide mobility development of web-based
application by means of early accessible tools and interfaces by using and manipulating infrastructure. Cloud-based services
integrate global scattered resource, which offer its users different types of services without the difficulties and complications. In
this paper main focus is on resource allocation to user, both Premium and Non-Premium with more priority to Premium user
managing their effective utilization and providing security from data alteration and modification. In this paper a small protocol of
cloud application is implemented adding security to it making the stored user data and information secure via the fraud detection
system. Its main purpose is to improve utilization of infrastructure Cloud by providing On-demand availability of the resources to
the users by reducing the expenses. Application are network based so that the business user free to use the services from anywhere
that they choose using virtually any type of electronic device. Each application is pay-per-usage basis, allowing the business
owner to predict their budget for the usage of number of application according to business need. This system offers a less
expensive platform and infrastructure solution to improve the efficiency and elasticity of IT operations.
Keywords: Cloud Computing, Encryption and Decryption, Reverse Circle Cipher and Upper Bound.
Grid computing or network computing is developed to make the available electric power in the similar way
as it is available for the grid. For that we just plug in the power and whoever needs power, may use it. In
grid computing if a system needs more power than available it can share the computing with other
machines connected in a grid. In this way we can use the power of a super computer without a huge cost
and the CPU cycles that were wasted previously can also be utilized. For performing grid computation in
joined computers through the internet, the software must be installed which supports grid computation on
each computer inside the VO. The software handles information queries, storage management, processing
scheduling, authentication and data encryption to ensure information security.
Survey on Dynamic Resource Allocation Strategy in Cloud Computing EnvironmentEditor IJCATR
Cloud computing becomes quite popular among cloud users by offering a variety of resources. This is an on demand service because it offers dynamic flexible resource allocation and guaranteed services in pay as-you-use manner to public. In this paper, we present the several dynamic resource allocation techniques and its performance. This paper provides detailed description of the dynamic resource allocation technique in cloud for cloud users and comparative study provides the clear detail about the different techniques
Optimization of resource allocation in computational gridsijgca
The resource allocation in Grid computing system needs to be scalable, reliable and smart. It should also be adaptable to change its allocation mechanism depending upon the environment and user’s requirements. Therefore, a scalable and optimized approach for resource allocation where the system can adapt itself to the changing environment and the fluctuating resources is essentially needed. In this paper, a Teaching Learning based optimization approach for resource allocation in Computational Grids is proposed. The proposed algorithm is found to outperform the existing ones in terms of execution time and cost. The algorithm is simulated using GRIDSIM and the simulation results are presented.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
SCHEDULING IN GRID TO MINIMIZE THE IMPOSED OVERHEAD ON THE SYSTEM AND TO INCREASE THE RESOURCE UTILIZATION
1. International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.2, April 2013
DOI:10.5121/ijcsa.2013.3205 39
SCHEDULING IN GRID TO MINIMIZE THE
IMPOSED OVERHEAD ON THE SYSTEM AND
TO INCREASE THE RESOURCE UTILIZATION
Preetha Evangeline.D
Post Graduate Scholar, Dept Of computer science& engineering, Karunya University,
Coimbatore-641114
Preethadavid4@gmail.com
ABSTRACT
Grid computing is one of the area which is having outstanding advancement nowadays. Grid computing
have emerged to harness distributed computing and network resources to provide powerful services. The
non-deterministic characteristic of the resource availability in these new computing platforms raises an
outstanding challenge. Since grid computing is rapidly growing in heterogeneous environment it is used for
utilizing and sharing large scale resources to solve complex problems. One of the most challenging task in
the area of grid is resource provisioning. As it is very well known that there are enormous amount of
resources present in the grid environment, it is very hard to schedule them. There are two types users
namely the local users and the external users. Resources has to be provided to both the users request.
When the user submits the job, the request has to be satisfied by providing the resources. Here the
resources are provided in the form of virtual machines (VM).The problem arises when there is insufficiency
of resources to provide both the users. The problem becomes more hectic when the external requests have
more QoS requirements. The local users can be provided with the resources by preempting the VMs from
the external requests which causes imposed overhead on the system. Now the idea is how to decrease the
preemption of VMs and how to utilize the resources efficiently. Here we propose a policy in Intergrid which
reduces the no of VM preemption and which will also distribute the external requests accordingly so that
preemption of valuable requests is reduces.
KEYWORDS
QoS, Preemption, PAP, Intergrid, Lease abstraction, Analytic queing model
1. INTRODUCTION
Providing the resources for user applications is one of the main challenges in grid. Intergrid
supports sharing, selection and aggregation of resources across several grid which are connected
through high bandwidth. Job abstraction is widely used in resource management of Grid
environments. However, due to advantages of Virtual Machine (VM) technology, recently, many
resource management systems have emerged to enable another style of resource management
based on lease abstraction. Intergrid also interconnects islands of virtualized grids. It provides
resources to the users in the form of virtual machines (VM) and it also allows users to create
2. International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.2, April 2013
40
environment for executing their applications on the VMs. In each constituent Grid, the
provisioning rights over several clusters inside the Grid are delegated to the InterGrid Gateway
(IGG).The intergrid gateway coordinates the resource allocation for the requests that is coming
from outer grids(external requests) through predefined contracts between the grids. Hence,
resource provisioning is done for two different types of users, namely: local users and external
users. Typically, local requests have priority over external requests in each cluster . As illustrated
in Fig. 1, local users (hereafter termed as local requests), refer to users who ask their local cluster
resource manager (LRM) for resources. External users (hereafter termed as external requests) are
those users who send their requests to a gateway (IGG) to get access to a larger amount of shared
resources. In our previous research we demonstrated how preemption of external requests in favor
of local requests can help serving more local requests. However, the side-effects of preemption
are twofold:
• From the system owner perspective, preempting VMs imposes a notable overhead to the
underlying system and degrades resource utilization.
• From the external user perspective, preemption increases the response time of the external
requests. As a result, both the resource owner and external users benefit from fewer VM
preemptions in the system.
Fig1: Contention between Local Request and External Request
We believe that with the extensive current trend in applying VMs in distributed systems, and
considering preemption as an outstanding feature of VMs, it is crucial to investigate policies that
minimize these side-effects. Therefore, one problem we are dealing with in this research is how to
decrease the number of VM preemptions that take place in a virtualized Grid environment. The
problem gets complicated further when external requests have different levels of Quality of
Service (QoS) requirements For instance, some external requests can have deadlines whereas
others do not. Preemption affects the QoS constraints of such requests. This implies that some
external requests are more valuable than others and, therefore, more precedence should be given
3. International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.2, April 2013
41
to valuable requests by reducing the chance of preemption of these requests. To address these
problems, in this paper, we propose a QoS and preemption-aware scheduling policy for a
virtualized Grid which contributes resources to a federated Grid. This scheduling policy
comprises of two parts. The first part, called workload allocation policy, determines the fraction
of external requests that should be allocated to each cluster in a way that minimizes the number of
VM preemptions. The proposed policy is based on the stochastic analysis of routing in parallel,
non-observable queues. Moreover, this policy is knowledge-free (i.e. it is not dependent on the
availability information of the clusters). Thus, this policy does not impose any overhead on the
system. However, it does not decide the cluster that each single external request should be
dispatched upon arrival. In other words, dispatching of the external requests to clusters is random.
Therefore, in the second part, called dispatch policy, we propose a policy to find out the cluster to
which each request should be allocated to. The dispatch policy has the awareness of request types
and aims to minimize the likelihood of preempting valuable requests. This is performed by
working out a deterministic sequence for dispatching external requests. In summary, our paper
makes the following contributions:
• Providing an analytical queuing model for a Grid, based on the routing in parallel non-
observable queues.
• Adapting the proposed analytical model to a preemption-aware workload allocation
policy.
• Proposing a deterministic dispatch policy to give more priority to more valuable users
and meet their QoS requirements.
Evaluating the proposed policies under realistic workload models and considering performance
metrics such as number of VM preemptions, utilization, and average weighted response time.
2. INTERGRID
INTERGRID is inspired by the peering agreements established between Internet Service
Providers (ISPs) in the Internet, through which ISPs agree to allow traffic into one another's
networks. The architecture of InterGrid relies on InterGrid Gateways (IGGs) that mediate access
to resources of participating Grids. The InterGrid also aims at tackling the heterogeneity of
hardware and software within Grids. The use of virtualization technology can ease the
deployment of applications spanning multiple Grids as it allows for resource control in a
contained manner. In this way, resources allocated by one Grid to another are used to deploy
virtual machines. Virtual machines also allow the use of resources from Cloud computing
providers. The InterGrid aims to provide a software system that allows the creation of execution
environments for various applications (a) on top of the physical infrastructure provided by the
participating Grids (c). The allocation of resources from multiple Grids to fulfil the requirements
of the execution environments is enabled by peering arrangements established between gateways
(b). A Grid has pre-defined peering arrangements with other Grids, managed by IGGs and,
through which they co-ordinate the use of resources of the InterGrid. An IGG is aware of the
terms of the peering with other Grids; selects suitable Grids able to provide the required
resources; and replies to requests from other IGGs.
4. International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.2, April 2013
42
Fig 2: Layers of intergrid
The Local Resource Manager (LRM)1 is the resource manager in each cluster which provisions
resources for local and external (Grid) requests. Resource provisioning in clusters of InterGrid is
based on the lease abstraction. A lease is an agreement between resource provider and resource
consumer whereby the provider agrees to allocate resources to the consumer according to the
lease terms presented by the consumer .Virtual Machine (VM) technology is used in InterGrid to
implement lease-based resource provisioning InterGrid creates one lease for each user request (in
this paper we apply these two terms interchangeably).
3. ANALYTICAL QUEING MODEL:
In this section, we describe the analytical modeling of preemption in a virtualized Grid
environment based on routing in parallel queues. This section is followed by our proposed
scheduling policy in IGG built upon the analytical model provided in this part. The queuing
model that represents a gateway along with several non-dedicated clusters (i.e. clusters with
shared resources between local and external requests) is depicted in Fig. 3. There are N clusters
where cluster j receives requests from two independent sources. One source is a stream of local
requests with arrival rate λj and the other source is a stream of external requests which are sent
by the gateway with arrival rate ˆΛj. The gateway receives external requests from other peer
gateways [12] (G1, . . . , Gpeer in Fig. 3). Therefore, external request arrival rate to the gateway is
Λ =  ̄Λ1 +  ̄Λ2 + ・・・+  ̄Λpeer where peer indicates the number of gateways that can
potentially send external requests to the gateway. Submitted local requests to cluster j must be
executed on cluster j unless the requested resources are occupied by another local request or a
Non-preemptive external request. The first and second moment of service time of local requests
in cluster j are τj and µj, respectively. On the other hand, an external request can be allocated to
5. International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.2, April 2013
43
any cluster but it might get preempted later on. We consider θj and ωj as the first and second
moment of service time of external requests on cluster j, respectively. For the sake of clarity,
Table 1 gives the list of symbols we use in this paper along with their meaning.
Table1: List of Symbols
Indeed, the analytical model aims at distributing the total original arrival rate of external requests
(Λ) amongst the clusters. In this situation if we consider each cluster as a single queue and the
gateway as a meta-scheduler that redirects each incoming external request to one of the clusters,
then the problem of scheduling external requests in the gateway (IGG) can be considered as a
routing problem in distributed parallel queues. Considering these situation, the goal of the
scheduling in the IGG is to schedule the external requests amongst the clusters in a way that
minimizes the overall number of VM preemptions in a Grid. To the best of our knowledge, there
is no scheduling policy for such an environment with the goal of minimizing the number of VM
preemptions. However, several research works have been undertaken in similar circumstances to
minimize the average response time of external requests. Some initial experiments as well as
results of our previous research intuitively imply that there is an association between response
time and number of VM preemptions in the Grid. The regression analysis with least squares
method (depicted in Fig. 4).
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Fig 3: Analytical Queing Model
Fig 4: Regression between the number of VMs preempted and response time of external requests.
4.QoS AND PREEMPTION AWARE SCHEDULING POLICY
In this section, we propose a workload allocation policy and a dispatch policy. The positioning of
this scheduling policy in IGG is demonstrated in Fig. 2. The proposed scheduling policy
comprises of two parts. The first part, discusses how the analysis mentioned in the previous
section can be adapted as the workload allocation policy for external requests in IGG. The second
part, is a dispatch policy which determines the sequence of dispatching external requests to
different clusters considering the type of external requests. On the other hand, in our scenario we
encounter parallel requests (requests require more than one VM) that follow a general
distribution. Additionally, we apply a conservative backfilling policy as the local scheduler of
each cluster. The reason of using conservative backfilling is that it increases the number of
requests getting served at each moment with respect to the SJF policy. Moreover, it is proved that
conservative backfilling performs better in multi-cluster environments compared with other
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45
scheduling policies.Considering the above differences, we do not expect that the preemption-
aware workload allocation policy still performs optimally. In fact,we examined how efficient the
proposed analysis would be in a virtualized Grid environment by relaxing these assumptions. To
adapt the analysis in a way that covers requests that need several VMs, we modify the service
time of external requests on cluster j (θj) and local requests on cluster j (τj).
4.1 Dispatch policy
The algorithm proposed in the previous subsection determines the routing probability to each
cluster (i.e. ˆΛj/Λ). However, it does not offer any deterministic sequence for dispatching each
external request to the clusters. More importantly, as mentioned earlier, external requests are in
different levels of QoS which implies that some external requests are more valuable. Hence, we
would like to decrease the chance of preemption for more valuable requests to the minimum
possible. We plan to put this precedence in place through a dispatch policy. In this
part,wepropose a policy that, firstly, reduces the number of VM preemptions for more valuable
external requests. Secondly, this policy makes a deterministic sequence for dispatching external
requests. It is worth noting that the dispatch policy uses the same routing probabilities that
worked out for each cluster using the workload allocation policy. The only difference is in the
sequence of requests dispatched to each cluster. For this purpose, we adapt a Billiard strategy as
the dispatching policy.
5. PERFORMANCE EVOLUTION
In this section, we discuss different performance metrics considered, the scenario in which the
experiments are carried out; finally, experimental results obtained from the simulations are
discussed.
5.1 User satisfaction
As mentioned earlier, both resource owners and users benefit from fewer VM preemptions. From
the resource owner perspective, less VM preemption leads to less overhead on the underlying
system and improves the utilization of resources. However, from the external user perspective,
preemption has different impacts based on the lease types. One of the comtribution of this paper
is to give more precedence to more valuable external users.
5.2 Resource utilization
Time overhead due to VM preemptions leads to resource under-utilization. Thus, from the system
owner perspective, we are interested to see how different scheduling policies affect the resource
utilization. Resource utilization for the Grid system is defined as follows:
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6. EXPERIMENTAL SETUP
We use GridSim as simulator, to evaluate the performance of the scheduling policies. We
consider a Grid with 3 clusters with 64, 128, and 256 processing elements with different
computing speeds (s1 = 2000, s2 = 3000, s3 = 2100 MIPS). This means that in the experiments
we assume computing speed homogeneity within each cluster. This assumption helps us to
concentrate more on the preemption aspect of resource provisioning. Moreover, considering that
the resources are provisioned in the form of VMs, the assumption of homogeneous resources
within the clusters is not far from reality. Each cluster is managed by an LRM and a conservative
backfilling scheduler. Clusters are interconnected using a 100 Mbps network bandwidth. We
assume all processing elements of each cluster as a single core CPU with one VM. The maximum
number of VMs in the generated requests of each cluster does not exceed the number of
processing elements in that cluster. The overhead time imposed by preempting VMs varies based
on the type of external leases involved in preemption [ For Cancelable leases the overhead is the
time needed to terminate the lease and shutdown its VMs. This time is usually much lower than
the time required for suspending or migrating leases and can be ignored.
7. EXPERIMENT RESULTS
7.1 Number of VM preemptions
The primary goal of this paper is to express the impact of scheduling policies on the number of
VMs preempted in a Grid environment. Therefore, in this experiment we report the number of
VMs getting preempted by applying different scheduling policies. As we can see in all sub-
figures of Fig. 5, the number of VMs preempted increases by increasing the average number of
VMs (Fig. 5(a)), duration (Fig. 5(b)), arrival rate of external requests (Fig. 5(c)), and arrival rate
of local requests (Fig. 5(d)). In all of them PAP-RTDP statistically and practically significantly
outperforms other policies.
7.2 Resource utilization
In this experiment we explore the impact of preempting VMs on the resource utilization as a
system centric metric.In general, resource utilization resulted from applying PAP RTDP is
drastically better than other policies as depicted in Fig.6.
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Fig 5: The no of VM preempted by applying different policies. a) the average number of VM’s b) the
average duration , c) arrival rate of external request, d) the arrival rate of local request.
Fig 6. Resource utilization resulted from different policies.
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8. RELATED WORKS
He et al. have aimed at minimizing response time and miss rate for non-real-time and soft real-
time jobs separately in the global scheduler of a multi-cluster by applying a non-observable
approach. They have also recognized workload allocation policy from job dispatching policy.
Nonetheless, for job dispatching they have applied policies such as weighted round robin policies.
By contrast, we consider a mixture of such jobs in our scenario which are affected by local
requests in each cluster.
Assuncao and Buyya have proposed policies in IGG based on adaptive partitioning of the
availability times between local and external requests in each cluster. Consequently, there is a
communication overhead between IGG and clusters for submitting availability information.
Bucur and Epema have evaluated the average response time of jobs in DAS-2 [25] by applying
local, global (external), and combination of these schedulers in the system. They have concluded
that the combination of local and global schedulers is the best choice in DAS-2.They have also
observed that it is better to give more priority to local jobs while the global jobs should also have
chance to run.
He et al. have proposed a multi-cluster scheduling policy where the global scheduler batches
incoming jobs and assigns each batch tuning to run the assigned jobs with minimized make span
and idle times.
Amar et al. have added preemption to cope with the non optimality of the on-line scheduling
policies. In the preemption policy jobs are prioritized based on their remaining time as well as the
job’s waiting cost. Schwiegelshohn and Yahyapour have investigated different variations of
preemptive first-come first- serve policy for an on-line scheduler that schedules parallel jobs
where the jobs’ run times and end times are unknown.
Margo et al. have leveraged a priority scheduling based on preempting jobs for Catalina to
increase the utilization of the resources. They determine the priority of each job based on the
expansion factor and number of processing elements each job needs.
9. CONCLUSIONS AND FUTURE WORK
In this research we explored how we can minimize the side effects of VM preemptions in a
federation of virtualized Grids such as InterGrid. We consider circumstances that local requests in
each cluster of a Grid coexist with external requests. Particularly, we consider situations that
external requests have different levels of QoS. For this purpose, we proposed a preemption-aware
workload allocation policy (PAP) in IGG to distribute external requests amongst different clusters
in a way that minimizes the overall number of VM preemptions that take place in a Grid.
Additionally, we investigated on a dispatch policy that regulates dispatching of different external
requests in a way that external requests with higher QoS requirements have less chance of getting
preempted. The proposed policies are knowledge-free and do not impose any communication
overhead to the underlying system.
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