vTestkit: A performance benchmarking framework for virtualization environments (0)

by K Ye, J Che, X Jiang, J Chen, X Li
Venue:in 2010 Fifth Annual ChinaGrid Conference (ChinaGrid), 2010
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Live migration of multiple virtual machines with resource reservation in cloud computing environments

by Kejiang Ye, Xiaohong Jiang, Dawei Huang, Jianhai Chen, Bei Wang - in IEEE CLOUD , 2011
"... Abstract—Virtualization technology is currently becoming increasingly popular and valuable in cloud computing en-vironments due to the benefits of server consolidation, live migration, and resource isolation. Live migration of virtual machines can be used to implement energy saving and load balancin ..."
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Abstract—Virtualization technology is currently becoming increasingly popular and valuable in cloud computing en-vironments due to the benefits of server consolidation, live migration, and resource isolation. Live migration of virtual machines can be used to implement energy saving and load balancing in cloud data center. However, to our knowledge, most of the previous work concentrated on the implementation of migration technology itself while didn’t consider the impact of resource reservation strategy on migration efficiency. This paper focuses on the live migration strategy of multiple virtual machines with different resource reservation methods. We first describe the live migration framework of multiple virtual machines with resource reservation technology. Then we perform a series of experiments to investigate the impacts of different resource reservation methods on the performance of live migration in both source machine and target machine. Additionally, we analyze the efficiency of parallel migration strategy and workload-aware migration strategy. The metrics such as downtime, total migration time, and workload perfor-mance overheads are measured. Experiments reveal some new discovery of live migration of multiple virtual machines. Based on the observed results, we present corresponding optimization methods to improve the migration efficiency. Keywords-virtual machine; live migration; resource reserva-tion; performance; I.
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Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective

by Kejiang Ye, Dawei Huang, Xiaohong Jiang, Huajun Chen, Shuang Wu - in Proceedings of 2010 IEEE/ACM International Conference on Green Computing and Communications
"... Abstract—Virtual machine technology is widely applied to modern data center for cloud computing as a key technology to realize energy-efficient operation of servers. Server consoli-dation achieves energy efficiency by enabling multiple instan-tiations of operating systems (OSes) to run simultaneousl ..."
Abstract - Cited by 8 (3 self) - Add to MetaCart
Abstract—Virtual machine technology is widely applied to modern data center for cloud computing as a key technology to realize energy-efficient operation of servers. Server consoli-dation achieves energy efficiency by enabling multiple instan-tiations of operating systems (OSes) to run simultaneously on a single physical machine. While, live migration of virtual machine can transfer the virtual machine workload from one physical machine to another without interrupting service. However, both the two technologies have their own performance overheads. There is a tradeoff between the performance and energy efficiency. In this paper, we study the energy efficiency from the performance perspective. Firstly, we present a virtual machine based energy-efficient data center architecture for cloud computing. Then we investigate the potential perfor-mance overheads caused by server consolidation and live migration of virtual machine technology. Experimental results show that both the two technologies can effectively implement energy-saving goals with little performance overheads. Efficient consolidation and migration strategies can improve the energy efficiency.
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VC-Migration: Live Migration of Virtual Clusters

by Kejiang Ye, Xiaohong Jiang, Ran Ma, Fengxi Yan - in the Cloud. In ACM/IEEE 13th International Conference on Grid Computing (GRID , 2012
"... Abstract—Live migration of virtual machines (VM) has recently become a key ingredient behind the management activities of cloud computing system to achieve the goals of load balancing, energy saving, failure recovery, and system maintenance. However, to our knowledge, most of the previous live VM mi ..."
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Abstract—Live migration of virtual machines (VM) has recently become a key ingredient behind the management activities of cloud computing system to achieve the goals of load balancing, energy saving, failure recovery, and system maintenance. However, to our knowledge, most of the previous live VM migration techniques concentrated on the migration of a single VM which means these techniques are insufficient when the whole virtual cluster or multiple virtual clusters need to be migrated. This paper investigates various live migration strategies for virtual clusters (VC). We first describe a framework VC-Migration to control the migration of virtual clusters. Then we perform a series of experiments to study the performance and overheads of different migration strategies for virtual clusters, including concurrent migration, mutual migration, homogeneous VC migration, and heterogeneous VC migration. After that, we present several optimization principles to improve the migration performance of virtual clusters. The HPCC benchmark is selected to represent the virtual cluster workloads, and the metrics such as downtime, total migration time, and workload performance are measured. Experimental results reveal some new discoveries which are useful to the future development of new migration mechanisms and algorithms to optimize the migration of virtual clusters. Keywords-virtual machine; virtual cluster; live migration; performance; cloud computing; I.
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HARDWARE-IN-THE-LOOP SIMULATION FOR AUTOMATED BENCHMARKING OF CLOUD INFRASTRUCTURES

by C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, A. M. Uhrmacher, Qi Liu, Marcio A. Silva, Michael R. Hines, Dilma Da Silva
"... To address the challenge of automated performance benchmarking in virtualized cloud infrastructures, an extensible and adaptable framework called CloudBench has been developed to conduct scalable, controllable, and repeatable experiments in such environments. This paper presents the hardware-in-the- ..."
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To address the challenge of automated performance benchmarking in virtualized cloud infrastructures, an extensible and adaptable framework called CloudBench has been developed to conduct scalable, controllable, and repeatable experiments in such environments. This paper presents the hardware-in-the-loop simulation technique used in CloudBench, which integrates an efficient discrete-event simulation with the cloud infrastructure under test in a closed feedback control loop. The technique supports the decomposition of complex resource usage patterns and provides a mechanism for statistically multiplexing application requests of varied characteristics to generate realistic and emergent behavior. It also exploits parallelism at multiple levels to improve simulation efficiency, while maintaining temporal and causal relationships with proper synchronization. Our experiments demonstrate that the proposed technique can synthesize complex resource usage behavior for effective cloud performance benchmarking. 1
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