AN ONLINE LOAD BALANCING SCHEDULING ALGORITHM FOR CLOUD DATA CENTERS CONSIDERING REAL-TIME MULTI-DIMENSIONAL RESOURCE

被引：0

作者：

Xu, Minxian ^{[1
]}

Tian, Wenhong ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 610054, Peoples R China

来源：

2012 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENT SYSTEMS (CCIS) VOLS 1-3 | 2012年

基金：

中国国家自然科学基金;

关键词：

Cloud computing; Load balance; On-line resource scheduling algorithm; Cloud data centers;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In general, load-balance scheduling is NP-hard problem as proved in many open literatures. We introduce an online load balancing resource scheduling algorithm (OLRSA) for Cloud datacenters considering real-time and multi-dimensional resources. Unlike traditional load balance scheduling algorithms which often consider only one factor such as the CPU load in physical servers, OLRSA treats CPU, memory and network bandwidth integrated for both physical machines and virtual machines. We develop and apply integrated measurement for each server and a Cloud datacenter. Simulation results show that OLRSA has better performance than a few related load-balancing algorithms with regard to total imbalance level, makespan, as well as overall load

引用

页码：264 / 268

页数：5

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