Results 81 to 90 of about 2,986 (197)
Energy-Efficient Virtual Machine Migration and Consolidation Algorithm in Cloud Data Center
Dianxin kexue, 2015 An energy-efficient virtual machine（VM）migration and consolidation algorithm with multi-resource was proposed. The algorithm was developed based on a multi-resource energy efficiency model.
Hongjian Li, Yu Dai, Rui Liu, Yi Jiang
doaj +2 more sources
Intelligent Decision-Making in Distributed Dynamic VM Consolidation Using Fuzzy Q-Learning
, 2013 A cloud manager deals with a dynamic multi objective opti- mization problem. Indeed, this problem lies in the fact that there is always a tradeoff between energy and performance in a virtualized data center.
Masoumzadeh , Seyed Saeid (Research Group Entertainment Computing, Faculty of Computer Science, University of Vienna) +1 more
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Profiling-based workload consolidation and migration in virtualized data centers
, 2015 Improving energy efficiency of data centers has become increasingly important nowadays due to the significant amounts of power needed to operate these centers.
Zhou, Bing Bing +6 more
core +1 more source
, 2017 Growing demand of computational power brings increasing scale and complexity of cloud datacenters. However, such increase also generates growing energy consumption and related cost incurred for cooling and maintenance.
Yongbo Wang +5 more
core +1 more source
LIFE: A Predictive Approach for VM Placement in Cloud Environments
, 2017 The key to maintaining high standards of quality and power conservation of physical machines in data centers lies in efficient consolidation of virtual machines (VMs).
Eidah Alzahrani (19971531) +3 more
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Investigating performance and energy efficiency on a private cloud
, 2015 Organizations are turning to private clouds due to concerns about security, privacy and administrative control. They are attracted by the flexibility and other advantages of cloud computing but are wary of breaking decades-old institutional practices and
Smith, James William
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A Virtual Machine Consolidation Framework for MapReduce Enabled Computing Clouds
, 2020 -In nowadays computing clouds, it is of the cloud providers' economic interests to correctly consolidate the workload of the virtual machines (VMs) into the suitable physical servers in the cloud data center in order to minimize the total ...
Zhe Huang, Danny H K Tsang, James She
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The final publication is available at Springer via http://dx.doi.org/10.1007/s11590-016-1065-xReducing the energy consumption of virtualized datacenters and the Cloud is very important in order to lower CO2 footprint and operational cost of a Cloud ...
Kassler, Andreas, Zola, Enrica Valeria
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Evolutionary computing based QoS oriented energy efficient VM consolidation scheme for large scale cloud data centers using random work load bench [PDF]
In order to assess the performance of an approach, it is unavoidable to inspect the performance with distinct datasets with diverse characteristics. In this paper we had assessed the system performance with random workbench datasets.
Babu, SK. Khadar, Theja, Perla Ravi
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Multi-objective ACO resource consolidation in cloud computing environment
, 2015 Cloud computing systems provide services to users based on a pay-as-you-go model. High volume of interest and a number of requests by user in cloud computing has resulted in the creation of data centers with large amounts of physical machines. These data
Malekloo, Mohammadhossein
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