NDLI: A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters

Content Provider	IEEE Xplore Digital Library
Author	Wenhong Tian Yong Zhao Yuanliang Zhong Minxian Xu Chen Jing
Copyright Year	2011
Description	Author affiliation: University of Electronic Science and Technology of China, Chengdu, China (Wenhong Tian; Yong Zhao; Yuanliang Zhong; Minxian Xu; Chen Jing)
Abstract	One of the challenging scheduling problems in Cloud datacenters is to take the allocation and migration of reconfigurable virtual machines into consideration as well as the integrated features of hosting physical machines. We introduce a dynamic and integrated resource scheduling algorithm (DAIRS) for Cloud datacenters. Unlike traditional load-balance scheduling algorithms which consider only one factor such as the CPU load in physical servers, DAIRS treats CPU, memory and network bandwidth integrated for both physical machines and virtual machines. We develop integrated measurement for the total imbalance level of a Cloud datacenter as well as the average imbalance level of each server. Simulation results show that DAIRS has good performance with regard to total imbalance level, average imbalance level of each server, as well as overall running time.
Starting Page	311
Ending Page	315
File Size	470482
Page Count	5
File Format	PDF
ISBN	9781612842035
e-ISBN	9781612842042
DOI	10.1109/CCIS.2011.6045081
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Cloud datacenter Heuristic algorithms Bandwidth Dynamic and integrated resource scheduling algorithms Virtual machining Servers Resource management Scheduling algorithm
Content Type	Text
Resource Type	Article

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