Title : ( Hierarchical VM Scheduling to Improve Energy and Performance Efficiency in IaaS Cloud Data Centers )
Authors: , Saeid Abrishami , Hossein Deldari ,
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Abstract
Abstract-Efficient energy use has become a critical issue for resource management in Cloud data centers. Virtualization is a key technology for reducing energy cost and improving resource utilization in data centers. One of the challenges faced by virtualized data centers is to decide how to pack VMs on the least number of hosts. This paper presents a decentralized scheduling policy for dynamic consolidation of VMs equipped with ARIMA model to improve resource llocation by predicting resource usage of VMs in the near future so as to minimize Service Level Agreement (SLA) violations and energy consumption in Cloud data centers.
Keywords
, Cloud computing, Dynamic VM consolidation, energy-efficiency, green data center, Hierarchical scheduling, SLA.
@inproceedings{paperid:1056706,
author = {, and Abrishami, Saeid and Deldari, Hossein},
title = {Hierarchical VM Scheduling to Improve Energy and Performance Efficiency in IaaS Cloud Data Centers},
booktitle = {Computer and Knowledge Engineering (ICCKE), 2015 5th International Conference on},
year = {2015},
location = {مشهد, IRAN},
keywords = {Cloud computing; Dynamic VM consolidation; energy-efficiency; green data center; Hierarchical scheduling; SLA.},
}
%0 Conference Proceedings
%T Hierarchical VM Scheduling to Improve Energy and Performance Efficiency in IaaS Cloud Data Centers
%A ,
%A Abrishami, Saeid
%A Deldari, Hossein
%J Computer and Knowledge Engineering (ICCKE), 2015 5th International Conference on
%D 2015
