Paper Info
Title
Minimum Completion Time for Power-Aware Scheduling in Cloud Computing
Abstract
Reducing power consumption has been an essential requirement for Cloud resource providers not only to decrease operating costs, but also to improve the system reliability. This paper tackles the problem of minimizing power consuming in data centers hosts and improving their load balancing simultaneously. Cloud computing based on the idea of offering services going to be executed on data centers. These data centers need huge amount of power if they are in the peak load or the tasks are not distributed efficiently in their machines. The paper presents an algorithm for task scheduling that lowering the power consuming and reducing the total data center load. An empirical study has been done to simulate the proposed algorithm, which is proved by the results.
Year
DOI
Venue
2011
10.1109/DeSE.2011.30
Developments in E-systems Engineering
Keywords
Field
DocType
minimum completion time,power consuming,total data center load,data centers host,cloud resource provider,data center,cloud computing,peak load,power consumption,empirical study,proposed algorithm,power-aware scheduling,heuristic algorithm,load balance,resource allocation,real time systems
Scheduling (computing),Load balancing (computing),Computer science,Real-time computing,Resource allocation,Data center,Empirical research,Peak load,Power consumption,Cloud computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4577-2186-1
5
0.40
References 
Authors
15
4
Name
Order
Citations
PageRank
Nawfal A. Mehdi150.73
Ali Mamat210317.72
Ali Amer350.73
Ziyad T. Abdul-Mehdi4190.97