The document proposes a three-stage model for energy utilization in cloud environments. The first stage defines cloud server capabilities using quantitative vectors. The second stage performs clustering to categorize cloud servers based on a cost analysis. The final stage maps user requests to cloud server clusters to identify the most efficient allocation based on energy and resource constraints.
An Efficient Queuing Model for Resource Sharing in Cloud Computingtheijes
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.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
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.
Cobe framework cloud ontology blackboard environment for enhancing discovery ...ijccsa
The new relatively concept of cloud computing & its associated methodologies has many advantages in the
world of today. Such advantages range between providing solutions for integration of the miscellaneous
systems & presenting as well guarantees for distribution of searching means & integration of software
tools which are used by consumers & different providers. In this paper, we have constructed an ontologybased
cloud framework with a view to identifying its external agent’s interoperability. The proposed
framework has been designed using the blackboard design style. This framework is composed of mainly
two components: controller and cloud ontology blackboard environment. The function of the controller is
to interact with consumers after receipt of the subject request where it spontaneously uses the ontology
base to distribute it & constitute the required related responses whereas the function of the second
framework component is to interact with different cloud providers and systems, using the meta-ontology
framework to restructure data via using AI reasoning tools and map them to its corresponding
redistributed request. Finally, E-tourism case study can be applicable will be explored.
AN OPEN JACKSON NETWORK MODEL FOR HETEROGENEOUS INFRASTRUCTURE AS A SERVICE O...IJCNCJournal
Cloud computing is an environment which provides services for user demand such as software, platform, infrastructure. Applications which are deployed on cloud computing have become more varied and complex to adapt to increase end-user quantity and fluctuating workload. One popular characteristic of
cloud computing is the heterogeneity of network, hosts and virtual machines (VM). There were many studies on cloud computing modeling based on queuing theory, but most studies have focused on homogeneity characteristic. In this study, we propose a cloud computing model based on open Jackson
network for multi-tier application systems which are deployed on heterogeneous VMs of IaaS cloud computing. The important metrics are analyzed in our experiments such as mean waiting time; mean request quantity, the throughput of the system. Besides that, metrics in model is used to modify number VMs
allocated for applications. Result of experiments shows that open queue network provides high efficiency.
A Prolific Scheme for Load Balancing Relying on Task Completion Time IJECEIAES
In networks with lot of computation, load balancing gains increasing significance. To offer various resources, services and applications, the ultimate aim is to facilitate the sharing of services and resources on the network over the Internet. A key issue to be focused and addressed in networks with large amount of computation is load balancing. Load is the number of tasks„t‟ performed by a computation system. The load can be categorized as network load and CPU load. For an efficient load balancing strategy, the process of assigning the load between the nodes should enhance the resource utilization and minimize the computation time. This can be accomplished by a uniform distribution of load of to all the nodes. A Load balancing method should guarantee that, each node in a network performs almost equal amount of work pertinent to their capacity and availability of resources. Relying on task subtraction, this work has presented a pioneering algorithm termed as E-TS (Efficient-Task Subtraction). This algorithm has selected appropriate nodes for each task. The proposed algorithm has improved the utilization of computing resources and has preserved the neutrality in assigning the load to the nodes in the network.
An Efficient Queuing Model for Resource Sharing in Cloud Computingtheijes
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.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
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.
Cobe framework cloud ontology blackboard environment for enhancing discovery ...ijccsa
The new relatively concept of cloud computing & its associated methodologies has many advantages in the
world of today. Such advantages range between providing solutions for integration of the miscellaneous
systems & presenting as well guarantees for distribution of searching means & integration of software
tools which are used by consumers & different providers. In this paper, we have constructed an ontologybased
cloud framework with a view to identifying its external agent’s interoperability. The proposed
framework has been designed using the blackboard design style. This framework is composed of mainly
two components: controller and cloud ontology blackboard environment. The function of the controller is
to interact with consumers after receipt of the subject request where it spontaneously uses the ontology
base to distribute it & constitute the required related responses whereas the function of the second
framework component is to interact with different cloud providers and systems, using the meta-ontology
framework to restructure data via using AI reasoning tools and map them to its corresponding
redistributed request. Finally, E-tourism case study can be applicable will be explored.
AN OPEN JACKSON NETWORK MODEL FOR HETEROGENEOUS INFRASTRUCTURE AS A SERVICE O...IJCNCJournal
Cloud computing is an environment which provides services for user demand such as software, platform, infrastructure. Applications which are deployed on cloud computing have become more varied and complex to adapt to increase end-user quantity and fluctuating workload. One popular characteristic of
cloud computing is the heterogeneity of network, hosts and virtual machines (VM). There were many studies on cloud computing modeling based on queuing theory, but most studies have focused on homogeneity characteristic. In this study, we propose a cloud computing model based on open Jackson
network for multi-tier application systems which are deployed on heterogeneous VMs of IaaS cloud computing. The important metrics are analyzed in our experiments such as mean waiting time; mean request quantity, the throughput of the system. Besides that, metrics in model is used to modify number VMs
allocated for applications. Result of experiments shows that open queue network provides high efficiency.
A Prolific Scheme for Load Balancing Relying on Task Completion Time IJECEIAES
In networks with lot of computation, load balancing gains increasing significance. To offer various resources, services and applications, the ultimate aim is to facilitate the sharing of services and resources on the network over the Internet. A key issue to be focused and addressed in networks with large amount of computation is load balancing. Load is the number of tasks„t‟ performed by a computation system. The load can be categorized as network load and CPU load. For an efficient load balancing strategy, the process of assigning the load between the nodes should enhance the resource utilization and minimize the computation time. This can be accomplished by a uniform distribution of load of to all the nodes. A Load balancing method should guarantee that, each node in a network performs almost equal amount of work pertinent to their capacity and availability of resources. Relying on task subtraction, this work has presented a pioneering algorithm termed as E-TS (Efficient-Task Subtraction). This algorithm has selected appropriate nodes for each task. The proposed algorithm has improved the utilization of computing resources and has preserved the neutrality in assigning the load to the nodes in the network.
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.
Virtual Machine Allocation Policy in Cloud Computing Environment using CloudSim IJECEIAES
Cloud computing has been widely accepted by the researchers for the web applications. During the past years, distributed computing replaced the centralized computing and finally turned towards the cloud computing. One can see lots of applications of cloud computing like online sale and purchase, social networking web pages, country wide virtual classes, digital libraries, sharing of pathological research labs, supercomputing and many more. Creating and allocating VMs to applications use virtualization concept. Resource allocates policies and load balancing polices play an important role in managing and allocating resources as per application request in a cloud computing environment. Cloud analyst is a GUI tool that simulates the cloud-computing environment. In the present work, the cloud servers are arranged through step network and a UML model for a minimization of energy consumption by processor, dynamic random access memory, hard disk, electrical components and mother board is developed. A well Unified Modeling Language is used for design of a class diagram. Response time and internet characteristics have been demonstrated and computed results are depicted in the form of tables and graphs using the cloud analyst simulation tool.
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.
In this research paper, we have conducted work on modeling of local broker policy based on workload profile in Network cloud. For this we are using workload based applications. To handle workload based applications, two Scheduling Policies Random Non-overlap and Workload profile based be used. We compare these two scheduling policies based on three parameters Execution (mean) time, Response (mean) time and Waiting (mean) time. Workload based profile policy gave better results than Random-Non overlap policy in terms of time performance parameter.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
IDENTIFICATION OF EFFICIENT PEERS IN P2P COMPUTING SYSTEM FOR REAL TIME APPLI...ijp2p
Currently the Peer-to-Peer computing paradigm rises as an economic solution for the large scale
computation problems. However due to the dynamic nature of peers it is very difficult to use this type of
systems for the computations of real time applications. Strict deadline of scientific and real time
applications require predictable performance in such applications. We propose an algorithm to identify the
group of reliable peers, from the available peers on the Internet, for the processing of real time
application’s tasks. The algorithm is based on joint evaluation of peer properties like peer availability,
credibility, computation time and the turnaround time of the peer with respect to the task distributor peer.
Here we also define a method to calculate turnaround time (distance) on task distributor peers at
application level.
Evolution of Distributed computing: Scalable computing over the Internet – Technologies for network based systems – clusters of cooperative computers - Grid computing Infrastructures – cloud computing - service oriented architecture – Introduction to Grid Architecture and standards – Elements of Grid – Overview of Grid Architecture.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
Service oriented cloud architecture for improved performance of smart grid ap...eSAT Journals
Abstract An effective and flexible computational platform is needed for the data coordination and processing associated with real time operational and application services in smart grid. A server environment where multiple applications are hosted by a common pool of virtualized server resources demands an open source structure for ensuring operational flexibility. In this paper, open source architecture is proposed for real time services which involve data coordination and processing. The architecture enables secure and reliable exchange of information and transactions with users over the internet to support various services. Prioritizing the applications based on complexity enhances efficiency of resource allocation in such situations. A priority based scheduling algorithm is proposed in the work for application level performance management in the structure. Analytical model based on queuing theory is developed for evaluating the performance of the test bed. The implementation is done using open stack cloud and the test results show a significant gain of 8% with the algorithm. Index Terms: Service Oriented Architecture, Smart grid, Mean response time, Open stack, Queuing model
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.
DWDM-RAM: An Architecture for Data Intensive Service Enabled by Next Generati...Tal Lavian Ph.D.
An architecture is proposed for data-intensive services enabled by next generation dynamic optical networks. The architecture supports new data communication services that allow for coordinating extremely large sets of distributed data. The architecture allows for novel features including algorithms for optimizing and scheduling data transfers,methods for allocating and scheduling network resources, and an intelligent middleware platform that is capable of interfacing application level services to the underlying optical technologies. The significance of the architecture is twofold: 1) it encapsulates “optical network resources” into a service framework to support dynamically provisioned and advance scheduled data-intensive transport services, and 2) it establishes a generalized enabling framework for intelligent services and applications over next generation networks, not necessarily optical end-to-end. DWDM-RAM1 is an implementation version of the architecture, which is conceptual as well as experimental. This architecture has been implemented in prototype on OMNInet, which is an advanced experimental metro area optical testbed that is based on novel architecture, protocols, control plane services (Optical Dynamic Intelligent Network-ODIN2), and advanced photonic components. This paper presents the concepts behind the DWDM-RAM architecture and its design. The paper also describes an application scenario using the architecture’s data transfer service and network resource services over the agile OMNInet testbed.
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.
Virtual Machine Allocation Policy in Cloud Computing Environment using CloudSim IJECEIAES
Cloud computing has been widely accepted by the researchers for the web applications. During the past years, distributed computing replaced the centralized computing and finally turned towards the cloud computing. One can see lots of applications of cloud computing like online sale and purchase, social networking web pages, country wide virtual classes, digital libraries, sharing of pathological research labs, supercomputing and many more. Creating and allocating VMs to applications use virtualization concept. Resource allocates policies and load balancing polices play an important role in managing and allocating resources as per application request in a cloud computing environment. Cloud analyst is a GUI tool that simulates the cloud-computing environment. In the present work, the cloud servers are arranged through step network and a UML model for a minimization of energy consumption by processor, dynamic random access memory, hard disk, electrical components and mother board is developed. A well Unified Modeling Language is used for design of a class diagram. Response time and internet characteristics have been demonstrated and computed results are depicted in the form of tables and graphs using the cloud analyst simulation tool.
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.
In this research paper, we have conducted work on modeling of local broker policy based on workload profile in Network cloud. For this we are using workload based applications. To handle workload based applications, two Scheduling Policies Random Non-overlap and Workload profile based be used. We compare these two scheduling policies based on three parameters Execution (mean) time, Response (mean) time and Waiting (mean) time. Workload based profile policy gave better results than Random-Non overlap policy in terms of time performance parameter.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
IDENTIFICATION OF EFFICIENT PEERS IN P2P COMPUTING SYSTEM FOR REAL TIME APPLI...ijp2p
Currently the Peer-to-Peer computing paradigm rises as an economic solution for the large scale
computation problems. However due to the dynamic nature of peers it is very difficult to use this type of
systems for the computations of real time applications. Strict deadline of scientific and real time
applications require predictable performance in such applications. We propose an algorithm to identify the
group of reliable peers, from the available peers on the Internet, for the processing of real time
application’s tasks. The algorithm is based on joint evaluation of peer properties like peer availability,
credibility, computation time and the turnaround time of the peer with respect to the task distributor peer.
Here we also define a method to calculate turnaround time (distance) on task distributor peers at
application level.
Evolution of Distributed computing: Scalable computing over the Internet – Technologies for network based systems – clusters of cooperative computers - Grid computing Infrastructures – cloud computing - service oriented architecture – Introduction to Grid Architecture and standards – Elements of Grid – Overview of Grid Architecture.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
Service oriented cloud architecture for improved performance of smart grid ap...eSAT Journals
Abstract An effective and flexible computational platform is needed for the data coordination and processing associated with real time operational and application services in smart grid. A server environment where multiple applications are hosted by a common pool of virtualized server resources demands an open source structure for ensuring operational flexibility. In this paper, open source architecture is proposed for real time services which involve data coordination and processing. The architecture enables secure and reliable exchange of information and transactions with users over the internet to support various services. Prioritizing the applications based on complexity enhances efficiency of resource allocation in such situations. A priority based scheduling algorithm is proposed in the work for application level performance management in the structure. Analytical model based on queuing theory is developed for evaluating the performance of the test bed. The implementation is done using open stack cloud and the test results show a significant gain of 8% with the algorithm. Index Terms: Service Oriented Architecture, Smart grid, Mean response time, Open stack, Queuing model
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.
DWDM-RAM: An Architecture for Data Intensive Service Enabled by Next Generati...Tal Lavian Ph.D.
An architecture is proposed for data-intensive services enabled by next generation dynamic optical networks. The architecture supports new data communication services that allow for coordinating extremely large sets of distributed data. The architecture allows for novel features including algorithms for optimizing and scheduling data transfers,methods for allocating and scheduling network resources, and an intelligent middleware platform that is capable of interfacing application level services to the underlying optical technologies. The significance of the architecture is twofold: 1) it encapsulates “optical network resources” into a service framework to support dynamically provisioned and advance scheduled data-intensive transport services, and 2) it establishes a generalized enabling framework for intelligent services and applications over next generation networks, not necessarily optical end-to-end. DWDM-RAM1 is an implementation version of the architecture, which is conceptual as well as experimental. This architecture has been implemented in prototype on OMNInet, which is an advanced experimental metro area optical testbed that is based on novel architecture, protocols, control plane services (Optical Dynamic Intelligent Network-ODIN2), and advanced photonic components. This paper presents the concepts behind the DWDM-RAM architecture and its design. The paper also describes an application scenario using the architecture’s data transfer service and network resource services over the agile OMNInet testbed.
Modeling and Analysis for Cutting Temperature in Turning of Aluminium 6063 Us...IOSR Journals
Deviation in machining process due to the temperature influence, cutting force, tool wear leads to
highly inferior quality of finished product, especially in high speed machining operations where product quality
and physical dimensions seems to be meticulous. Moreover, temperature is a significant noise parameter which
directly affects the cutting tool and work piece. Hence the aim of this project work is to study the machining
effect on 6063 Aluminium alloy at varies combinations of process parameters such as speed, feed rate and depth
of cut; and also to determine the effect of those parameters over the quality of finished product. A L27
Orthogonal Array (OA) based Design of Experiments (DOE) approach and Response Surface Methodology
(RSM) was used to analyse the machining effect on work material in this study. Using the practical data
obtained, a mathematical model was developed to predict the temperature influence and surface quality of
finished product. The ultimate goal of the study is to optimize the machining parameters for temperature
minimization in machining zone and improvement in surface finish.
Monitoring Of Macronutrients Uptake by Soil and Potato Plants – A Comparative...IOSR Journals
Soil test1, 2 is necessary to identify optimal concentrations of essential elements required for plant growth. The fertility of soil is affected by the presence of some essential elements as Macronutrients like N, P& K. This study including the status of Macronutrients in the soil and potato plans. The percentage of nitrogen (N) in soil of potato plant was obtained 5.6% and 1.89% where as nitrogen percentage in plant ash was 17.45% and 16.4% respectively. But the phosphorus and potassium are present in adequate amount in soil. As it was found that the concentration of phosphorus (P) and potassium (K) in part per million in soil of potato was 62ppm and 148.3ppm and in potato plant ash the concentration was 64.23ppm and 103.3ppm respectively.
Prevalence of anemia and socio-demographic factors associated with anemia amo...IOSR Journals
Objective: To study the prevalence of anemia and socio-demographic factors associated with anemia among pregnant women attending antenatal hospital. Material and methods: Total 100 pregnant women were selected for the study and the study was carried out from Sep 2011 to Jan 2012. Pretested and prestructured questionnaire was used to collect general information. Blood samples were collected by qualified technician for hemoglobin estimation. Socio-economic classification by B.G. Prasad was adopted. Classification of anemia by WHO was used. Chi-square test was used for statistical analysis. Results: Overall prevalence of anemia among the pregnant women was found to be 63%. Factors such as level of education and socio-economic status were found to be significantly associated with prevalence of anemia. Conclusion: There is a need for realization that health system should focus on various factors that contribute to the occurrence of anemia and include them as important mediators in the National Health Policy.
Hybrid Based Resource Provisioning in CloudEditor IJCATR
The data centres and energy consumption characteristics of the various machines are often noted with different capacities.
The public cloud workloads of different priorities and performance requirements of various applications when analysed we had noted
some invariant reports about cloud. The Cloud data centres become capable of sensing an opportunity to present a different program.
In out proposed work, we are using a hybrid method for resource provisioning in data centres. This method is used to allocate the
resources at the working conditions and also for the energy stored in the power consumptions. Proposed method is used to allocate the
process behind the cloud storage.
Virtual Machine Migration and Allocation in Cloud Computing: A Reviewijtsrd
Cloud computing is an emerging computing technology that maintains computational resources on large data centers and accessed through internet, rather than on local computers. VM migration provides the capability to balance the load, system maintenance, etc. Virtualization technology gives power to cloud computing. The virtual machine migration techniques can be divided into two categories that is pre copy and post copy approach. The process to move running applications or VMs from one physical machine to another is known as VM migration. In migration process the processor state, storage, memory and network connection are moved from one host to another.. Two important performance metrics are downtime and total migration time that the users care about most, because these metrics deals with service degradation and the time during which the service is unavailable. This paper focus on the analysis of live VM migration Techniques in cloud computing. Khushbu Singh Chandel | Dr. Avinash Sharma "Virtual Machine Migration and Allocation in Cloud Computing: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29556.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-network/29556/virtual-machine-migration-and-allocation-in-cloud-computing-a-review/khushbu-singh-chandel
Cloud computing is the fastest emerging technology and a novel buzzword in the field of IT domain that offer distinct services, applications and focuses on providing sustainable, reliable, scalable and virtualized resources to its consumer. The main aim of cloud computing is to enhance the use of distributed resources to achieve higher throughput and resource utilization in large-scale computation problems. Scheduling affects the efficiency of cloud and plays a significant role in cloud computing to create high performance environment. The Quality of Service (QoS) requirements of user application define the scheduling of resources. Numbers of researchers have tried to solve these scheduling problems using different QoS based scheduling techniques. In this paper, a detail analysis of resource scheduling methodology is presented, with different types of scheduling based on soft computing techniques, their comparisons, benefits and results are discussed. Major finding of this paper helps researchers to decide suitable approach for scheduling user’s applications considering their QoS requirements.
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.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Energy Efficient Heuristic Base Job Scheduling Algorithms in Cloud ComputingIOSRjournaljce
Cloud computing environment provides the cost efficient solution to customers by the resource provisioning and flexible customized configuration. The interest of cloud computing is growing around the globe at very fast pace because it provides scalable virtualized infrastructure by mean of which extensive computing capabilities can be used by the cloud clients to execute their submitted jobs. It becomes challenge for the cloud infrastructure to manage and schedule these jobs originated by different cloud users to available resources in such a manner to strengthen the overall performance of the system. As the number of user increases the job scheduling become an intensive task. Energy efficient job scheduling is one constructive solution to streamline the resource utilization as well as to reduce the energy consumption. Though there are several scheduling algorithms available, this paper intends to present job scheduling based on two Heuristic approaches i.e. Efficient MQS (Multi-queue job scheduling) and ACO (Ant colony optimization) and further evaluating the effectiveness of both approaches by considering the parameter of energy consumption and time in cloud computing.
LOAD BALANCING ALGORITHM ON CLOUD COMPUTING FOR OPTIMIZE RESPONE TIMEijccsa
To improve the performance of cloud computing, there are many parameters and issues that we should consider, including resource allocation, resource responsiveness, connectivity to resources, unused resources exploration, corresponding resource mapping and planning for resource. The planning for the use of resources can be based on many kinds of parameters, and the service response time is one of them.
The users can easily figure out the response time of their requests, and it becomes one of the important QoSs. When we discover and explore more on this, response time can provide solutions for the distribution, the load balancing of resources with better efficiency. This is one of the most promising
research directions for improving the cloud technology. Therefore, this paper proposes a load balancing algorithm based on response time of requests on cloud with the name APRA (ARIMA Prediction of Response Time Algorithm), the main idea is to use ARIMA algorithms to predict the coming response time, thus giving a better way of effectively resolving resource allocation with threshold value. The experiment
result outcomes are potential and valuable for load balancing with predicted response time, it shows that prediction is a great direction for load balancing.
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
An Efficient Cloud Scheduling Algorithm for the Conservation of Energy throug...IJECEIAES
Method of broadcasting is the well known operation that is used for providing support to different computing protocols in cloud computing. Attaining energy efficiency is one of the prominent challenges, that is quite significant in the scheduling process that is used in cloud computing as, there are fixed limits that have to be met by the system. In this research paper, we are particularly focusing on the cloud server maintenance and scheduling process and to do so, we are using the interactive broadcasting energy efficient computing technique along with the cloud computing server. Additionally, the remote host machines used for cloud services are dissipating more power and with that they are consuming more and more energy. The effect of the power consumption is one of the main factors for determining the cost of the computing resources. With the idea of using the avoidance technology for assigning the data center resources that dynamically depend on the application demands and supports the cloud computing with the optimization of the servers in use.
Score based deadline constrained workflow scheduling algorithm for cloud systemsijccsa
Cloud Computing is the latest and emerging trend in information technology domain. It offers utility- based
IT services to user over the Internet. Workflow scheduling is one of the major problems in cloud systems. A
good scheduling algorithm must minimize the execution time and cost of workflow application along with
QoS requirements of the user. In this paper we consider deadline as the major constraint and propose a
score based deadline constrained workflow scheduling algorithm that executes workflow within
manageable cost while meeting user defined deadline constraint. The algorithm uses the concept of score
which represents the capabilities of hardware resources. This score value is used while allocating
resources to various tasks of workflow application. The algorithm allocates those resources to workflow
application which are reliable and reduce the execution cost and complete the workflow application within
user specified deadline. The experimental results show that score based algorithm exhibits less execution
time and also reduces the failure rate of workflow application within manageable cost. All the simulations
have been done using CloudSim toolkit.
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Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
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We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
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So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
How world-class product teams are winning in the AI era by CEO and Founder, P...
G017553540
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 5, Ver. V (Sep. – Oct. 2015), PP 35-40
www.iosrjournals.org
DOI: 10.9790/0661-17553540 www.iosrjournals.org 35 | Page
A Model for Energy Utilizaztion for Cloud Environment
Kavita Rathi, Sonia
Assistant Professor, CSE Department, Deenbandhu Chhotu Ram University of Science & Technology, Murthal.
Student, M.Tech(CSE), Deenbandhu Chhotu Ram University of Science & Technology, Murthal.
Abstract: A distributed environment is provided by cloud computing to share resources and reduce complexity
of infrastructure requirements from user end. Each cloud server is defined with multiple virtual machines. The
major challenge is to allocate the resources and other cloud services to user. The complexity of this process gets
increases when the servers are configured under some restriction i.e. energy restriction etc.. In such situations,
it is important to provide an energy effective allocation.
The purposed work contains a three stage model. First stage, the capacities of cloud servers are defined with
quantitative vectors. Various parameters of each cloud server are defined to represent capabilities. Once the
cloud servers are configured, the next step is to define the categories of these services with the help of
clustering. A parameter analysis will be done to identify the categorization of cost vector. This stage defines cost
group for categorization of cloud servers. If the cloud servers are configured, next step is to accept the client or
user requirement and then map those requirements to the particular cluster. According to this mapping, the
most efficient and effective cloud server will be identified. The purposed work is implemented in java under
cloudsim.
I. Introduction
A cloud system consists of two processes known as cloud and computing where cloud represents a
network that globally connect with thousands of clients or users via available services. The computing is a
scientific model in which resource usage is done in an effective way. Cloud computing provides facilities to
share the services, resources, and the platform with the distributed environment [1]. It provides the global
connectivity via internet and provides the different technologies associated with cloud system. Cloud computing
systems are defined with the specification of server so that the incorporation of associated application and the
service will be obtained. The cloud system is defined with service specification that is provided in public
environment for free and for private or licensed user after paying the cost. The cloud system is able to reduce
such cost by providing the licensed access to the reliable and effective software system [2].
The distributed users are provided all the services and the resources through cloud system. Different
service provider provides these services which are integrated to the system to avail the services to different
users. The main concept of this system is beneficial for the user economically so that better adaptation of the
services will be done by the environment. This type of service depends on the provider of the system which is
defined under the layered environment. These layers were described in the earlier section, but when a service is
performed by client, the service requests all there service layers get activated in a proper integrated way. The
complex architecture of cloud environment is one of the important issues [5]. As the model is supported by web
access so that it requires the complex architecture to provide the effective deployment of the service and the
virtual environment to the system is provided.
The arrangement of the requests performed by different users in an organized and defined form is
known as scheduling. The real time scenario is used to describe this form and able to improve the capability of
the system. Various processes are used to define the cloud system and memory based constraints is able to
provide the generalized system allocation to the environment. Various problems have been addressed by authors
for scheduling in the available literature. Existing work includes the utilization of resources under the I/O
boundation and provides the optimized scheduling so that effective time management will be done [7][11][12].
The authors suggested various approaches related to task based, security based, resource based, and energy
based scheduling mechanism. Exploration of the job allocation process on the clouds and identifying the
requirement of process migration is done by authors. Authors also provide different approaches to perform
effective and optimized migration.
The same kind of services is provided by the number of cloud system available. To acquire the most
effective and reliable services from this cloud system. The analyzing of them is required under different vectors.
The effectiveness of the available cloud system depends on multiple parameters such as reliability, security,
efficiency etc. It is required to analyze the available cloud system services under these all vectors to provide a
cost effective service selection to end user., As much as parameters will be analyzed the analysis will be
effective. But there are the systems that take the decision based on 2-3 parameters. Because of this, there is the
requirement of more robust and reliable approach. There are three main stages in which the work can be
2. A Model for Energy Utilizaztion for Cloud Environment
DOI: 10.9790/0661-17553540 www.iosrjournals.org 36 | Page
presented. In first stage, the capabilities of different cloud servers are defined under quantitative vectors. Each
cloud server represents its different parameters to the strength or the capabilities of cloud servers. The next work
is to categorize these services using clustering approach once the cloud server capabilities are defined. To
identify the cost vector categorization a weighted parameters analysis approach is used. This stage will identify
various cost group to categorize the cloud servers. Once the cloud servers are categorized, the next work is to
accept the user requirement and map the user requirements to the specific cluster. The most effective cloud
server will be identified using this type of based mapping. The presented work will be implemented in java
environment under cloudsim.
II. Literature Review
There are number of approaches for scheduling and resource allocation used by different cloud servers.
There is some of the scheduling scheme which was based on the cost analysis and some gives the concept of job
forwarding and job migration. Some of the work done by earlier researchers is discussed in this chapter.
Related Work
VC-Migration: It actually defines the formation of clusters in cloud server. This kind of server system also
includes the virtual cluster specification along with the communication migration. Its main framework is defined
to achieve the control mechanism for virtual cluster. To achieve the cluster formation, cluster scheduling,
mutation processing, concurrent processing, process migration, virtual system integration, virtual cluster
effective scheduled process integration experimentation is provided [13].
As the middle layer environment works on another application system migration for cloud servers. The
reconfiguration capabilities to improve the scalability and elasticity so that the system work load will be
distributed and the reconfiguration will be achieved for the system have been defined by the author. Such
system also provides the ideal reconfiguration so that the VM migration and application level processing will be
done. The ideal reconfiguration processing defined by the author will be obtained. To improve the system
accuracy and processing the performance integration and reconfiguration is defined by the author [14].
The process adjustment in cloud environment is presented by Balaji Viswanathan (2012). A process
migration under the work load analysis approach under the system design is defined by the author. Author
defined a probabilistic framework under the rule based adjustment so that effective functionality analysis and
associated process execution will be done.
Viswanathan (2012) defined a framework so that process migration in flexible time will be done.
Sheigeruimai (2012) defined a work on scalable cloud system under the application based migration. A work
load based analysis on middle server environment is performed by the author. Author performed the workload
based analysis in middleware so that autonomous workload over the system will be achieved. Shigeru Imai
(2012) defined a performance based system so that system reconfiguration will be done and the application level
migration will be done effectively over the system.
Findings from the survey
The problem of scheduling in the available literature have addressed by various authors. Existing work
includes the utilization of resources under the I/O boundation and provides the optimized scheduling so that
effective time management will be done. The authors suggested different approaches related to task based,
security based, resource based, and energy based scheduling mechanism. The job allocation process on the
clouds and identify the requirement of process migration are explored by authors. Different approaches to
perform effective and optimized migration are provided by authors.
Most of the researchers have defined the process feasibility over a virtual machine based on the I/O
boundless but the availability of the machine and wait time does not considered. Most of the researchers defined
the memory requirement and utilization as the main criteria to decide the work load instead of identifying the
aggregative time of waiting processes present in queue. Researchers also work on the process of execution so
that the energy optimization will be achieved. But the exploration of the aggregative resource allocation and
starvation based analysis is not given in these research papers.
III. Proposed Work
Same kind of services is provided by the number of cloud system. We can acquire the most effective
and reliable services from this cloud system. It is required to analyze them under different vectors. The
effectiveness of this cloud system depends on multiple parameters such as reliability, security, efficiency etc. A
cost effective service selection to end user is provided and to analyze the available cloud system services under
all these vectors are provided. As much as parameters will be analyzed the analysis will be effective. But there
are the systems that take the decision based on 2-3 parameters. There is the requirement of more robust and
reliable approach because of these systems. To achieve the cloud system scheduling the presented work is
3. A Model for Energy Utilizaztion for Cloud Environment
DOI: 10.9790/0661-17553540 www.iosrjournals.org 37 | Page
defined so that the optimized utilization of available cloud resources will be done. The work is defined on
distributed cloud server system. With multiple virtual machines the cloud system is defined here. The request is
processed by the cloud server as these machines are energy adaptive and provide the energy consumption. A
three stage model is presented to provide the effective cloud scheduling.
Figure 1: Flow Chart
The exploration of different stages of the work are given under here
1. Cloud Environment Setup
The building of the cloud environment is the first stage to work with cloud computing. While setting up
the cloud environment, it is required to set the some properties such as number of physical cloud servers,
number of virtual machines available on each cloud server and the capabilities of each virtual machine. The
capabilities can be defined in terms of memory availability and the I/O devices associated with each virtual
machine.
2. User Request Initialization
Once a user will enter to the system, a service request will be performed to the integrated environment.
User process request will be defined under different parameters such as process time specification, memory
requirement, I/O requirement, Dead line specification etc.
4. A Model for Energy Utilizaztion for Cloud Environment
DOI: 10.9790/0661-17553540 www.iosrjournals.org 38 | Page
3. Cost Estimation
A weighted mechanism will be defined to estimate the cost of a process. The cost estimation weighted
process is based on the process time, arrival time, dead line criticality and the memory requirements.
4. Scheduling
Once the weight age to each process is defined, these processes are scheduled based on the greedy
algorithm. The objective function is to arrange the processes under the least cost ratio.
5. Process Allocation
Once the processes are scheduled and the cost estimation is done. The evaluation of the virtual machine
will be done in order of process occurrence in the queue. This evaluation of the virtual machine will be done
respective to under the capacity and the request analysis. If the process is feasible to the virtual machine
capacity the process will be allocated to that particular virtual machine.
6. Migration
If the process is not feasible to the particular virtual machine, the requirement of the migration is
identified. Now to migrate the process, the capacity and load on other virtual machines will be analyzed and
based on it the migration of the process will be done.
7. Analysis
Analysis is the final stage of the presented work in which all the processes will be analyzed under
different parameters such as wait time analysis, response time analysis etc.
IV. Results:
The cloud server is here defined with the specification of integrated virtual machines. These multiple
cloud server based distributed system is defined with processing capacities and energy specification. Each
virtual machine is also defined with relative resource parameters. These resources are defined as the memory
capabilities and the IO load capabilities. The virtual machine associated parameters are here defined randomly
so that the work will be defined on generic environment and the prioritization to the machines will be done. The
network configuration parameters are shown in table 4.1
Table 1: Simulation Parameters
Parameter Values
Number of Cloud Servers 5
Number of Virtual Machines 10
Load on Machine 5
IO Limit 5
Memory Limit 64M
Processing Limit 1000ms
Simulation Time 100 sec
The analysis of presented work is done under different obtained parameters. These parameters include
the simulation time, migrations performed; violation occurred respective to different number of generated
requests. The analysis results are described and presented in this section graphically.
Figure 2: Simulation Time Analysis
5. A Model for Energy Utilizaztion for Cloud Environment
DOI: 10.9790/0661-17553540 www.iosrjournals.org 39 | Page
Here figure 2 is showing the analysis of presneted work model respective to the simulation time. The
experimenation is here applied on different number of requets. As the number of requests increases, the
simulation time is also increased. It shows that that as limited resources when utilized by more requests, the load
vector affects the efficiency of work.
Figure 3: Energy Consumption Analysis
Here figure 3 is showing the analysis of presneted work model respective to the energy consumption.
The experimenation is here applied on different number of requets. As the number of requests increases, the
energy consumption is also increased. It shows that that as limited resources when utilized by more requests, the
load vector affects the efficiency of work. The higher the energy loss, the effectiveness of system degrades.
V. Conclusion
In this present work, an energy adaptive layered model is presented for service allocation to the cloud
server. The work is applied in two phase in parallel i.e. on client side and on server side. The work is here
experimented on different load machines. The analysis is done in terms of process time, wait time, number of
migration and energy consumption parameters. The results show as the load over the server increases, the
energy consumption increases and the system reliability degrades.
VI. Future Work
In this present work, a load and energy adaptive layered model is presented for cloud service allocation
and execution. The work can be improved in future under following aspects
The work does not include any optimization algorithm in future some optimization algorithm such as
genetics can be applied with work.
The work is applied on a generic cloud service environment without security constraints. In future such
constraints can be considered.
References
[1]. Ilango Sriram, Ali Khajeh-Hosseini, Research Agenda in Cloud Technologies, Unpublished, http://arxiv.org/abs/1001.3259, 2010
[2]. Anthony T.Velte, Toby J.Velte, Robert Elsenpeter, Cloud Computing, A Practical approach, CRC Press/Taylor & Francis, 304p,
ISBN: 978-1466593169.
[3]. Jeongseob Ahn, Changdae Kim, Jaeung Han, Young-ri Choi†, and Jaehyuk Huh, Dynamic Virtual Machine Scheduling in Clouds
for Architectural Shared Resources, Dynamic Virtual Machine Scheduling in Clouds for Architectural Shared Resources, pp 19-19,
2011
[4]. Loganayagi.B, S.Sujatha, Enhanced Cloud Security by Combining Virtualization and Policy Monitoring Techniques, Procedia Eng.
30, pp 654–661, 2012
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