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DTFA: A Dynamic Threshold-Based Fuzzy Approach for Power-Efficient VM Consolidation
2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), 2018 Dynamic virtual machine (VM) consolidation is considered an effective approach for improving power consumption and computing resource utilization in cloud-based data centers. However, the ever-changing workload in a data center makes it difficult for VM consolidation to prevent service level agreement (SLA) violations and optimize power consumption ...
Deafallah Alsadie +4 more
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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), 2018Dynamic 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), 2016The 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 +2 more
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An efficient energy-aware approach for dynamic VM consolidation on cloud platforms
Cluster Computing, 2021The cloud computing environments rely heavily on virtualization that enables the physical hardware resources to be shared among cloud users by creating virtual machines (VMs). With an overloaded physical machine, the resource requests by virtual machines may not be fulfilled, which results in Service Level Agreement (SLA) violations. Moreover, the high
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MiyakoDori: A Memory Reusing Mechanism for Dynamic VM Consolidation
2012 IEEE Fifth International Conference on Cloud Computing, 2012In 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 +3 more
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Integrating VM selection criteria in distributed dynamic VM consolidation using Fuzzy Q-Learning
Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013), 2013Distributed dynamic VM consolidation can be an effective strategy to improve energy efficiency in cloud environments. In general, this strategy can be decomposed into four decision-making tasks: (1) Host overloading detection, (2) VM selection, (3) Host underloading detection, and (4) VM placement.
Masoumzadeh, Seyed-Saeid +1 more
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A dynamic VM consolidation technique for QoS and energy consumption in cloud environment
The Journal of Supercomputing, 2017Cloud-based data centers consume a significant amount of energy which is a costly procedure. Virtualization technology, which can be regarded as the first step in the cloud by offering benefits like the virtual machine and live migration, is trying to overcome this problem.
Seyed Yahya Zahedi Fard +2 more
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Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing
2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies, 2012With the large-scale deployment of virtualized data centers, energy consumption and SLA (Service Level Agreement) violation have already become the urgent issue to be solved. And it is essential and important to design energy-aware allocation policy for energy-aware and SLA violation reduction. In this paper, we propose a novel allocation and selection
Zhibo Cao, Shoubin Dong
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The Journal of Supercomputing, 2020
In recent years, cloud data centers are rapidly growing with a large number of finite heterogeneous resources to meet the ever-growing user demands with respect to the SLA (service level agreement). However, the potential growth in the number of large-scale data centers leads to large amounts of energy consumption, which is constantly a major challenge.
Jean Pepe Buanga Mapetu +2 more
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In recent years, cloud data centers are rapidly growing with a large number of finite heterogeneous resources to meet the ever-growing user demands with respect to the SLA (service level agreement). However, the potential growth in the number of large-scale data centers leads to large amounts of energy consumption, which is constantly a major challenge.
Jean Pepe Buanga Mapetu +2 more
openaire +1 more source