講座題目：求解云計(jì)算負(fù)載均衡調(diào)度優(yōu)化問題的高效算法

報告人：   呂志鵬 教授，華中科技大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院

講座時間：2014年6月3日上午10點(diǎn)

講座地點(diǎn)：kaiyun開云官方網(wǎng)站犀浦校區(qū)kaiyun開云官方網(wǎng)站會議室X2511

內(nèi)容簡介：大規(guī)模集群系統(tǒng)的負(fù)載均衡問題是云計(jì)算領(lǐng)域中的核心問題，是2012年Google ROADEF / EURO挑戰(zhàn)賽的主題，也是集群系統(tǒng)運(yùn)行的瓶頸，其目的是通過虛擬機(jī)遷移的方式實(shí)現(xiàn)大規(guī)模集群系統(tǒng)中任務(wù)的合理分配。設(shè)計(jì)了求解云計(jì)算負(fù)載均衡調(diào)度優(yōu)化問題的高效啟發(fā)式算法和下界算法，表明了算法的有效性，在2012年Google ROADEF / EURO國際挑戰(zhàn)賽中獲全球第15名。

Title: Effective Optimization Algorithm for Solving the Load Balancing Problem in Cloud Computing

Reporter: Professor Zhi-Peng Lü, School of Computer Science and Technology, Huazhong University of Science and Technology

Content: Large scale load balancing problem in cluster systems is one of the core problems in the field of cloud computing, as well as the topic of the 2012 Google ROADEF / EURO challenge. It is also the bottleneck of operating the cluster systems. The aim is to realize the reasonable assignments of tasks in the large-scale cluster systems by means of virtual machine migration. We design an effective metaheuristic algorithm and a lower bound algorithm for solving the load balancing problem, demonstrating its effectiveness. Our algorithm ranks the 15th in the 2012 Google ROADEF / EURO challenge.