Resource Intensity Aware Job Scheduling in A Distributed Cloud  

作　　者：HUANG Daochao ZHU Chunge ZHANG Hong LIU Xinran 

机构地区：[1]National Computer Network Emergency Response Technical Team Coordination Center of China (CNCERT or CNCERT/CC), No.A3, Yumin Road, Chaoyang District, Beijing, China, 100029

出　　处：《China Communications》2014年第A02期175-184,共10页中国通信（英文版）

摘　　要：A Dominant Resource Fairness （DRF） based scheme for job scheduling in distributed cloud computing systems which was modeled as multi-job scheduling and multi-resource allocation coupling problem is proposed, where the resource pool is constructed from a large number of distributed heterogeneous servers, representing different points in the configuration space of resources such as processing, memory, storage and bandwidth. By introducing dominant resource share of jobs and virtual machines, the multi-job scheduling and multi-resource allocation joint mechanism significantly improves the cloud system＇s resource utilization, yet with a substantial reduction of job completion times. We show through experiments and case studies the superior performance of the algorithms in practice.

关 键 词：job scheduling resource allocation cloud computing dominant resource fairness 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TH165[自动化与计算机技术—控制科学与工程]