Energy-Aware Lease Scheduling in Virtualized Data Centers

Nguyen Quang-Hung (), Nam Thoai (), Nguyen Thanh Son () and Duy-Khanh Le ()
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Nguyen Quang-Hung: HCMC University of Technology, VNUHCM, Faculty of Computer Science and Engineering
Nam Thoai: HCMC University of Technology, VNUHCM, Faculty of Computer Science and Engineering
Nguyen Thanh Son: HCMC University of Technology, VNUHCM, Faculty of Computer Science and Engineering
Duy-Khanh Le: National University of Singapore, Department of Computer Science

A chapter in Modeling, Simulation and Optimization of Complex Processes - HPSC 2012, 2014, pp 195-205 from Springer

Abstract: Abstract Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between minimizing energy consumption and satisfying quality of service (e.g. performance, resource availability on time for reservation requests). We consider resource needs in the context of virtualized data centers of a private cloud system, which provides resource leases in terms of virtual machines (VMs) for user applications. In this paper, we propose heuristics for scheduling VMs that address the above challenge. On performance evaluation, simulated results have shown a significant reduction on total energy consumption of our proposed algorithms compared with an existing First-Come-First-Serve (FCFS) scheduling algorithm with the same fulfillment of performance requirements. We also discuss the improvement of energy saving when additionally using migration policies to the above mentioned algorithms.

Keywords: Virtual Machine; Schedule Algorithm; Migration Time; Total Energy Consumption; Physical Server (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-09063-4_16

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DOI: 10.1007/978-3-319-09063-4_16

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