Results 11 to 20 of about 8,759 (194)
CloudBench: an integrated evaluation of VM placement algorithms in clouds [PDF]
The Journal of Supercomputing, 2020 A complex and important task in the cloud resource management is the efficient allocation of virtual machines (VMs), or containers, in physical machines (PMs). The evaluation of VM placement techniques in real-world clouds can be tedious, complex and time-consuming. This situation has motivated an increasing use of cloud simulators that facilitate this
Gomez Rodriguez, Mario A. +4 more
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Release-time aware VM placement
2014 IEEE Globecom Workshops (GC Wkshps), 2014 Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit (BF), have been used to reduce the number of active PMs, they share one common limitation; they do ...
Dabbagh, Mehiar +3 more
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VM Placement in non-Homogeneous IaaS-Clouds [PDF]
, 2011 Infrastructure-as-a-Service (IaaS) cloud providers often combine different hardware components in an attempt to form a single infrastructure. This single infrastructure hides any underlying heterogeneity and complexity of the physical layer. Given a non-homogeneous hardware infrastructure, assigning VMs to physical machines (PMs) becomes a particularly
Tsakalozos, K. +2 more
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Markov Prediction Model for Host Load Detection and VM Placement in Live Migration [PDF]
IEEE Access, 2018 The design of good host overload/underload detection and virtual machine (VM) placement algorithms plays a vital role in assuring the smoothness of VM live migration.
Suhib Bani Melhem +3 more
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VM placement with effective energy management in cloud using optimal VM allocation framework (OVAF)
Indonesian Journal of Electrical Engineering and Computer Science, 2020 <p class="CAbstract"><span>The performance of servers at the data centers is affected when the servers are overloaded. To overcome this problem, the workload at the overloaded servers has to be redistributed to other servers which is possible with live VM migration.
Susmita J. A. Nair +1 more
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Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework
Journal of Cloud Computing: Advances, Systems and Applications, 2019 One of the main challenges in cloud computing is an enormous amount of energy consumed in data-centers. Several researches have been conducted on Virtual Machine(VM) consolidation to optimize energy consumption.
Fikru Feleke Moges, Surafel Lemma Abebe
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iVMp: An Interactive VM Placement Algorithm for Agile Capital Allocation [PDF]
2013 IEEE Sixth International Conference on Cloud Computing, 2013 Server consolidation is an important problem in any enterprise, where capital allocators (CAs) must approve any cost saving plans involving the acquisition or allocation of new assets and the decommissioning of inefficient assets. Our paper describes iVMp an interactive VM placement algorithm, that allows CAs to become ‘agile’ capital allocators that ...
Li, Xi +4 more
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Simulated annealing based VM placement strategy to maximize the profit for Cloud Service Providers
Engineering Science and Technology, an International Journal, 2017 Virtual machine (VM) placement strategies reported in the literature focuses mainly on minimization of power consumption and maximization of placed VMs. The revenue earned by a cloud service provider (CSP) depends on the number of VMs placed.
Sourav Kanti Addya +4 more
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A Fair Comparison of VM Placement Heuristics and a More Effective Solution [PDF]
2014 IEEE 13th International Symposium on Parallel and Distributed Computing, 2014 Data center optimization, mainly through virtual machine (VM) placement, has received considerable attention in the past years. A lot of heuristics have been proposed to give quick and reasonably good solutions to this problem. However it is difficult to compare them as they use different datasets, while the distribution of resources in the datasets ...
Xi Li +3 more
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Multiple objectives dynamic VM placement for application service availability in cloud networks
Journal of Cloud Computing: Advances, Systems and ApplicationsEnsuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines (VMs) on computing servers to provision these services can present significant challenges, particularly in ...
Yanal Alahmad, Anjali Agarwal
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