The Experts below are selected from a list of 12678 Experts worldwide ranked by ideXlab platform
D U Yihua - One of the best experts on this subject based on the ideXlab platform.
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private cloud apcs platform design based on Virtualization Technology
Computer Engineering, 2012Co-Authors: Sheng Xianfeng, J I Junchuan, Zhou Xiaojun, Jiao Wenbin, D U YihuaAbstract:In order to improve hardware resources utilization and system maintenance efficiency of the distributed management information system,and provide application system service on demand for business users,this paper puts forward a solution based on Virtualization Technology ARP Private Cloud Services(APCS).The ARP Cloud Services Infrastructure Platform(ACSIP) realizes the integration and utilization of hardware resources,and improves the system resources utilization,guarantees the continuity of business system,provides dynamic configuration of the application services.The ARP Cloud Services Management Platform(ACSMP) realizes the dynamic management of distribution system resources,centralized maintenance management,monitoring management and safety management.
Qi Chen - One of the best experts on this subject based on the ideXlab platform.
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adaptive resource provisioning for the cloud using online bin packing
IEEE Transactions on Computers, 2014Co-Authors: Weijia Song, Zhen Xiao, Qi ChenAbstract:Data center applications present significant opportunities for multiplexing server resources. Virtualization Technology makes it easy to move running application across physical machines. In this paper, we present an approach that uses Virtualization Technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers actively used. We abstract this as a variant of the relaxed on-line bin packing problem and develop a practical, efficient algorithm that works well in a real system. We adjust the resources available to each VM both within and across physical servers. Extensive simulation and experiment results demonstrate that our system achieves good performance compared to the existing work.
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dynamic resource allocation using virtual machines for cloud computing environment
IEEE Transactions on Parallel and Distributed Systems, 2013Co-Authors: Zhen Xiao, Weijia Song, Qi ChenAbstract:Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through Virtualization Technology. In this paper, we present a system that uses Virtualization Technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of "skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
B Madusudhanan - One of the best experts on this subject based on the ideXlab platform.
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care resource broker a framework for scheduling and supporting virtual resource management
Future Generation Computer Systems, 2010Co-Authors: Thamarai Selvi Somasundaram, Balachandar R Amarnath, R Kumar, P Balakrishnan, K Rajendar, R Rajiv, G Kannan, Rajesh G Britto, E Mahendran, B MadusudhananAbstract:Scheduling application in grid is a complex task that often fails due to nonavailability of resources and the required execution environment in the resources. The CARE Resource Broker (CRB) proposed in this paper addresses such scheduling scenarios using the concepts of Virtualization. The Virtualization Technology offers effective resource management mechanisms such as isolated, secure job scheduling, and utilization of computing resources to the possible extent. However, lack of protocols and services to support Virtualization Technology in high level grid architecture does not allow management of virtual machines and virtual clusters in grid environment. CRB proposes and implements necessary protocols and services to support creation and management of virtual resources in the physical hosts. Unlike the conventional grid schedulers, CRB addresses several cases of failure of application scheduling such as nonavailability of enough computing nodes in a cluster, and, nonavailability of software execution environment in any of the grid resources. It deploys the required number of virtual machines in potential computing resources to meet the application requirements, and creates virtual clusters dynamically; configure with the required software execution environment for facilitating application execution. Thus, CRB improves the overall throughput by scheduling more applications than conventional grid schedulers and increases the utilization of underutilized computing resources in grid.
Lakshmi Rajamani - One of the best experts on this subject based on the ideXlab platform.
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performance evaluation of hypervisors in the private cloud based on system information using sigar framework and for system workloads using passmark
International journal of advanced science and technology, 2014Co-Authors: P Vijaya, Vardhan Reddy, Lakshmi RajamaniAbstract:Hypervisors using Virtualization Technology enable multiple operating systems to run on one physical server. Cloud computing model is less expensive because it streamlines the delivery of services by providing a stage for optimizing complex IT resources in a scalable manner with the help of Virtualization Technology and hypervisors. Selecting a suitable hypervisor for their organization’s private cloud is herculean task for modern CIOs. Hypervisor vendors do claim that they have negated Virtualization overhead completely compare to native system, but still there exists minute Virtualization overhead because virtual machines have to communicate with middle-layer hypervisor to access the underlying physical hardware and also there is an impact of other virtual machines running on the same hypervisor. Hypervisors are developed using different Virtualization techniques like full Virtualization, para-Virtualization and hybrid model Virtualization. This paper evaluates the performance of three hypervisors ESXi, XenServer and KVM using SIGAR framework for system information and Passmark for system workloads in the private cloud environment. Private cloud has been designed using open source cloud computing software CloudStack. Hypervisors are deployed as hosts in the CloudStack. This paper recommends best suited hypervisors for respective workloads in the private cloud based on the performance of system information and system workloads.
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Evaluation of Different Hypervisors Performance in the Private Cloud with SIGAR Framework
2014Co-Authors: P Vijaya, Vardhan Reddy, Lakshmi RajamaniAbstract:Abstract — To make cloud computing model Practical and to have essential characters like rapid elasticity, resource pooling, on demand access and measured service, two prominent technologies are required. One is internet and second important one is Virtualization Technology. Virtualization Technology plays major role in the success of cloud computing. A Virtualization layer which provides an infrastructural support to multiple virtual machines above it by virtualizing hardware resources such as CPU, Memory, Disk and NIC is called a Hypervisor. It is interesting to study how different Hypervisors perform in the Private Cloud. Hypervisors do come in Paravirtualized, Full Virtualized and Hybrid flavors. It is novel idea to compare them in the private cloud environment. This paper conducts different performance tests on three hypervisors XenServer, ESXi and KVM and results are gathered using SIGAR API (System Information Gatherer and Reporter) along with Passmark benchmark suite. In the experiment, CloudStack 4.0.2 (open source cloud computing software) is used to create a private cloud, in which management server is installed on Ubuntu 12.04 – 64 bit operating system. Hypervisors XenServer 6.0, ESXi 4.1 and KVM (Ubuntu 12.04) are installed as hosts in the respective clusters and their performances have been evaluated in detail b
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evaluation of different hypervisors performance in the private cloud with sigar framework
International Journal of Advanced Computer Science and Applications, 2014Co-Authors: Vijaya Vardhan P Reddy, Lakshmi RajamaniAbstract:To make cloud computing model Practical and to have essential characters like rapid elasticity, resource pooling, on demand access and measured service, two prominent technologies are required. One is internet and second important one is Virtualization Technology. Virtualization Technology plays major role in the success of cloud computing. A Virtualization layer which provides an infrastructural support to multiple virtual machines above it by virtualizing hardware resources such as CPU, Memory, Disk and NIC is called a Hypervisor. It is interesting to study how different Hypervisors perform in the Private Cloud. Hypervisors do come in Paravirtualized, Full Virtualized and Hybrid flavors. It is novel idea to compare them in the private cloud environment. This paper conducts different performance tests on three hypervisors XenServer, ESXi and KVM and results are gathered using SIGAR API (System Information Gatherer and Reporter) along with Passmark benchmark suite. In the experiment, CloudStack 4.0.2 (open source cloud computing software) is used to create a private cloud, in which management server is installed on Ubuntu 12.04 – 64 bit operating system. Hypervisors XenServer 6.0, ESXi 4.1 and KVM (Ubuntu 12.04) are installed as hosts in the respective clusters and their performances have been evaluated in detail by using SIGAR Framework, Passmark and NetPerf.
Sheng Xianfeng - One of the best experts on this subject based on the ideXlab platform.
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private cloud apcs platform design based on Virtualization Technology
Computer Engineering, 2012Co-Authors: Sheng Xianfeng, J I Junchuan, Zhou Xiaojun, Jiao Wenbin, D U YihuaAbstract:In order to improve hardware resources utilization and system maintenance efficiency of the distributed management information system,and provide application system service on demand for business users,this paper puts forward a solution based on Virtualization Technology ARP Private Cloud Services(APCS).The ARP Cloud Services Infrastructure Platform(ACSIP) realizes the integration and utilization of hardware resources,and improves the system resources utilization,guarantees the continuity of business system,provides dynamic configuration of the application services.The ARP Cloud Services Management Platform(ACSMP) realizes the dynamic management of distribution system resources,centralized maintenance management,monitoring management and safety management.
