This document discusses a study on composable infrastructure and breakdown of composable memory. It proposes using RDMA over Converged Ethernet (RoCE), tmpfs file system, and virtual memory management to enable composable memory across servers without hardware modifications. The approach mounts remote memory as block devices using SCSI/iSER over RDMA NICs. Evaluation results on latency measurement, CPU overhead, and memory-intensive workloads suggest this composable memory approach is useful for memory-intensive applications to utilize remote memory resources without performance penalties.
Efficient and scalable multitenant placement approach for in memory database ...CSITiaesprime
Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload processing and also adopt the SLA penalty model. In particular, we present two approximation algorithms, multi-tenant placement (MTP) and best-fit greedy to show the quality of tenant placement. The experimental results show that MTP algorithm is scalable and efficient in comparison with best-fit greedy algorithm over proposed architecture.
Configuration and Deployment Guide For Memcached on Intel® ArchitectureOdinot Stanislas
This Configuration and Deployment Guide explores designing and building a Memcached infrastructure that is scalable, reliable, manageable and secure. The guide uses experience with real-world deployments as well as data from benchmark tests. Configuration guidelines on clusters of Intel® Xeon®- and Atom™-based servers take into account differing business scenarios and inform the various tradeoffs to accommodate different Service Level Agreement (SLA) requirements and Total Cost of Ownership (TCO) objectives.
The growth of internet of things and wireless technology has led to enormous generation of data for various application uses such as healthcare, scientific and data intensive application. Cloud based Storage Area Network (SAN) has been widely in recent time for storing and processing these data. Providing fault tolerant and continuous access to data with minimal latency and cost is challenging. For that efficient fault tolerant mechanism is required. Data replication is an efficient mechanism for providing fault tolerant mechanism that has been considered by exiting methodologies. However, data replica placement is challenging and existing method are not efficient considering application dynamic requirement of cloud based storage area network. Thus, incurring latency, due to which induce higher cost of data transmission. This work present an efficient replica placement and transmission technique using Bipartite Graph based Data Replica Placement (BGDRP) technique that aid in minimizing latency and computing cost. Performance of BGDRP is evaluated using real-time scientific application workflow. The outcome shows BGDRP technique minimize data access latency, computation time and cost over state-of-art technique.
Efficient and scalable multitenant placement approach for in memory database ...CSITiaesprime
Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload processing and also adopt the SLA penalty model. In particular, we present two approximation algorithms, multi-tenant placement (MTP) and best-fit greedy to show the quality of tenant placement. The experimental results show that MTP algorithm is scalable and efficient in comparison with best-fit greedy algorithm over proposed architecture.
Configuration and Deployment Guide For Memcached on Intel® ArchitectureOdinot Stanislas
This Configuration and Deployment Guide explores designing and building a Memcached infrastructure that is scalable, reliable, manageable and secure. The guide uses experience with real-world deployments as well as data from benchmark tests. Configuration guidelines on clusters of Intel® Xeon®- and Atom™-based servers take into account differing business scenarios and inform the various tradeoffs to accommodate different Service Level Agreement (SLA) requirements and Total Cost of Ownership (TCO) objectives.
The growth of internet of things and wireless technology has led to enormous generation of data for various application uses such as healthcare, scientific and data intensive application. Cloud based Storage Area Network (SAN) has been widely in recent time for storing and processing these data. Providing fault tolerant and continuous access to data with minimal latency and cost is challenging. For that efficient fault tolerant mechanism is required. Data replication is an efficient mechanism for providing fault tolerant mechanism that has been considered by exiting methodologies. However, data replica placement is challenging and existing method are not efficient considering application dynamic requirement of cloud based storage area network. Thus, incurring latency, due to which induce higher cost of data transmission. This work present an efficient replica placement and transmission technique using Bipartite Graph based Data Replica Placement (BGDRP) technique that aid in minimizing latency and computing cost. Performance of BGDRP is evaluated using real-time scientific application workflow. The outcome shows BGDRP technique minimize data access latency, computation time and cost over state-of-art technique.
Performance Enhancement of Cloud Computing using ClusteringEditor IJMTER
Cloud computing is an emerging infrastructure paradigm that allows efficient maintenance
of cloud with efficient uses of servers. Virtualization is a key element in cloud environment as it
provides distribution of computing resources. This distribution results in cost and energy reduction,
thus making efficient utilization of physical resources. Thus resource sharing and use of
virtualization allows improved performance for demanding scientific computing workloads. Number
of data centers and physical servers are underutilized so they are used inefficiently. So performance
evaluation and its enhancement in virtualized environment like public and private cloud are the
challenging issues. Performance of cloud environment is dependent on CPU & memory utilization,
Network and I/O disk operations. In order to improve the performance of the virtualization with
cloud computing, one of the solutions is to allow highly available data in the cluster form. Thus
replicas are available at each data centers and are highly available. In the proposed work, the I/O
parameters are chosen for increasing the performance in this domain. This enhancement can be
achieved through the clustering and caching technologies. The use of technology for data centers
clustering is proposed in this paper. Thus performance and scalability can be improved by reducing
the number of hits to the cloud database.
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
The Embedded Technology industry is experiencing two major trends. On one hand, computation is moving away from traditional desktop and department-level computer centers On the other hand, the increasing majority of these clients consist of a growing variety of embedded devices, such as smart phones, tablet computers and television set-top boxes (STB), whose capabilities continue to improve while also providing data locality associated to data-intensive application processing of interest Indeed
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.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
ZCloud Consensus on Hardware for Distributed SystemsGokhan Boranalp
3rd Workshop on Dependability,
May 8, Monday 2017, İYTE,
https://goo.gl/fSVnZy
http://dcs.iyte.edu.tr/ws/ppt/10/presentation.pdf
In distributed applications where the number of members in the cluster increases, the
separation of the consensus related operations at the hardware level is essential for the
following reasons:
1. At the operating system level, messages broadcast on the protocol stack cause latency.
2. It is necessary to increase the number of completed transactions in the communication of
distributed system components and on the network unit (throughput).
3. For devices with limited storage and CPU computing facilities that use embedded operating
systems such as IOT devices, it is also necessary to reduce the processing burden due to
"consensus" operations.
4. A common consensus communication model is needed for different applications that need
to work together in (BFT) distributed systems.
Historically, the tradeoff of hard disk drives (HDDs) versus solid state drives (SSDs) in enterprises has revolved around three variables: capacity, endurance and price. This whitepaper looks at how increased capacity and durability is expanding SSD applications in the data center.
"The paper introduces confidential computing approaches focused on protecting hierarchical data within
edge-cloud network. Edge-cloud network suggests splitting and sharing data between the main cloud and
the range of networks near the endpoint devices. The proposed solutions allow data in this two-level
hierarchy to be protected via embedding traditional encryption at rest and in transit while leaving the
remaining security issues, such as sensitive data and operations in use, in the scope of trusted execution
environment. Hierarchical data for each network device are linked and identified through distinct paths
between edge and main cloud using individual blockchain. Methods for data and cryptographic key
splitting between the edge and the main cloud are based on strong authentication techniques ensuring the
shared data confidentiality, integrity and availability.
Performance Enhancement of Cloud Computing using ClusteringEditor IJMTER
Cloud computing is an emerging infrastructure paradigm that allows efficient maintenance
of cloud with efficient uses of servers. Virtualization is a key element in cloud environment as it
provides distribution of computing resources. This distribution results in cost and energy reduction,
thus making efficient utilization of physical resources. Thus resource sharing and use of
virtualization allows improved performance for demanding scientific computing workloads. Number
of data centers and physical servers are underutilized so they are used inefficiently. So performance
evaluation and its enhancement in virtualized environment like public and private cloud are the
challenging issues. Performance of cloud environment is dependent on CPU & memory utilization,
Network and I/O disk operations. In order to improve the performance of the virtualization with
cloud computing, one of the solutions is to allow highly available data in the cluster form. Thus
replicas are available at each data centers and are highly available. In the proposed work, the I/O
parameters are chosen for increasing the performance in this domain. This enhancement can be
achieved through the clustering and caching technologies. The use of technology for data centers
clustering is proposed in this paper. Thus performance and scalability can be improved by reducing
the number of hits to the cloud database.
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
The Embedded Technology industry is experiencing two major trends. On one hand, computation is moving away from traditional desktop and department-level computer centers On the other hand, the increasing majority of these clients consist of a growing variety of embedded devices, such as smart phones, tablet computers and television set-top boxes (STB), whose capabilities continue to improve while also providing data locality associated to data-intensive application processing of interest Indeed
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.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
ZCloud Consensus on Hardware for Distributed SystemsGokhan Boranalp
3rd Workshop on Dependability,
May 8, Monday 2017, İYTE,
https://goo.gl/fSVnZy
http://dcs.iyte.edu.tr/ws/ppt/10/presentation.pdf
In distributed applications where the number of members in the cluster increases, the
separation of the consensus related operations at the hardware level is essential for the
following reasons:
1. At the operating system level, messages broadcast on the protocol stack cause latency.
2. It is necessary to increase the number of completed transactions in the communication of
distributed system components and on the network unit (throughput).
3. For devices with limited storage and CPU computing facilities that use embedded operating
systems such as IOT devices, it is also necessary to reduce the processing burden due to
"consensus" operations.
4. A common consensus communication model is needed for different applications that need
to work together in (BFT) distributed systems.
Historically, the tradeoff of hard disk drives (HDDs) versus solid state drives (SSDs) in enterprises has revolved around three variables: capacity, endurance and price. This whitepaper looks at how increased capacity and durability is expanding SSD applications in the data center.
"The paper introduces confidential computing approaches focused on protecting hierarchical data within
edge-cloud network. Edge-cloud network suggests splitting and sharing data between the main cloud and
the range of networks near the endpoint devices. The proposed solutions allow data in this two-level
hierarchy to be protected via embedding traditional encryption at rest and in transit while leaving the
remaining security issues, such as sensitive data and operations in use, in the scope of trusted execution
environment. Hierarchical data for each network device are linked and identified through distinct paths
between edge and main cloud using individual blockchain. Methods for data and cryptographic key
splitting between the edge and the main cloud are based on strong authentication techniques ensuring the
shared data confidentiality, integrity and availability.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.