Results 211 to 220 of about 2,438 (263)

Efficient VM Selection Heuristics for Dynamic VM Consolidation in Cloud Datacenters

2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018
Dynamic Consolidation of Virtual Machines (VMs) in a cloud data center requires live migration of VMs from over-utilized hosts. A primary but relatively an ignored part of consolidation process is the efficient selection of Virtual Machines from an over-utilized host for migration. Two VM selection policies, Threshold Based Selection (TBS) and Capacity
Hammad Qaiser, Gao Shu
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Evaluation of cluster K-Means as VM selection in dynamic VM consolidation

2016 22nd Asia-Pacific Conference on Communications (APCC), 2016
The paper focused on the evaluation of K-Means as VM Selection in Dynamic VM Consolidation. The research has compared the performance of several numbers of cluster K-Means in VM selection with another method such as Minimum Migration Time (MMT) and Random Choice (RC).
Guruh Fajar Shidik, Nani Sri Sulistyowati, Manggiardi B. W. Tirta   +2 more
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A survey on energy aware VM consolidation strategies

Sustainable Computing: Informatics and Systems, 2019
Abstract The rapid growth of Cloud computing is accompanied by a significant increase in the consumed energy by data centers. This huge increase in energy consumption has become a major concern because of both its costs and environment impact. Consolidating virtual machines (VMs) in minimum numbers of physical machines (PMs) is an effective way to ...
Najet Hamdi, Walid Chainbi
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Energy efficiency of VM consolidation in IaaS clouds

The Journal of Supercomputing, 2016
The energy efficiency of cloud computing has recently attracted a great deal of attention. As a result of raised expectations, cloud providers such as Amazon and Microsoft have started to deploy a new IaaS service, a MapReduce-style virtual cluster, to process data-intensive workloads.
Fei Teng 0001, Lei Yu 0009, Tianrui Li 0001, Danting Deng, Frédéric Magoulès   +4 more
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Consolidation and Replication of VMs Matching Performance Objectives

2012
The users of actual computing infrastructures allowing the resource provision (such as clouds) are often asked to decide about the proper amount of equipment (virtual machines, VMs) required to execute their requests while satisfying a set of performance objectives.
GRIBAUDO, MARCO, PIAZZOLLA, PIETRO, SERAZZI, GIUSEPPE   +2 more
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Evaluation of Performance Degradation in HPC Applications with VM Consolidation

2012 Third International Conference on Networking and Computing, 2012
This paper investigates the performance degradation in application programs running on virtual machines (VMs) in a physical computing server with a focus on HPC applications. We select three benchmarks as the expected workload in a data center: HPC applications, database applications, and web server applications.
Yuya Hashimoto, Kento Aida
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VM Consolidation by using Selection and Placement of VMs in Cloud Datacenters

2017
The Cloud Computing model leverages virtualization of computing resources allowing customers to provision resources on-demand on a pay-as-you-go basis. During recent years, the power consumption of datacenters in cloud environment attracted researchers.
Nadimi, Reza, Ahmadi Khatir, Reza
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Workload-Driven VM Consolidation in Cloud Data Centers

2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Virtual machines hosted in virtualized data centers are important providers of computational resources in the era of cloud computing. Efficient scheduling of data centers' virtual machines can reduce the number of physical servers needed to host the virtual machines and, in turn, reduce the energy and other capital costs for maintaining the virtualized
Hao Lin, Xin Qi, Shuo Yang 0010, Samuel P. Midkiff   +3 more
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Reducing VM Startup Time and Storage Costs by VM Image Content Consolidation

2014
Elastic cloud applications rely on fast virtual machine (VM) startup, e.g. when scaling out for handling increased workload. While there have been recent studies into the VM startup time in clouds, the effects of the VM image (VMI) disk size and its contents are little understood. To fill this gap, we present a detailed study of these factors on Amazon
Razavi, K., Razorea, L.M., Kielmann, T.
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MiyakoDori: A Memory Reusing Mechanism for Dynamic VM Consolidation

2012 IEEE Fifth International Conference on Cloud Computing, 2012
In Infrastructure-as-a-Service datacenters, the placement of Virtual Machines (VMs) on physical hosts are dynamically optimized in response to resource utilization of the hosts. However, existing live migration techniques, used to move VMs between hosts, need to involve large data transfer and prevents dynamic consolidation systems from optimizing VM ...
Soramichi Akiyama, Takahiro Hirofuchi, Ryousei Takano, Shinichi Honiden   +3 more
openaire   +1 more source