[Qian, Qiongfen] Air Force Early Warning Acad, Dept 4, Wuhan, Peoples R China.
通讯机构：
[Zhang, Xiaoqing] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.
语种：
英文
关键词：
Cloud computing;Railroads;Scheduling;Scheduling algorithms;QoS constraints;Qualityof-service requirement (QoS);Resource utilizations;Tasks scheduling;Quality of service
期刊：
Lecture Notes in Electrical Engineering
ISSN：
1876-1100
年：
2016
卷：
378
页码：
289-297
会议名称：
International Conference on Electrical and Information Technologies for Rail Transportation - Electrical Traction
会议论文集名称：
Lecture Notes in Electrical Engineering
会议时间：
AUG 28-30, 2015
会议地点：
China Electrotechn Soc, Elect Equipment Technol Comm Rail Transportat, Zhuzhou, PEOPLES R CHINA
会议主办单位：
China Electrotechn Soc, Elect Equipment Technol Comm Rail Transportat
会议赞助商：
Beijing Jiaotong Univ, CSR ZHUZHOU Inst Co Ltd, Beijing Qiansiyu Elect Co Ltd, Univ Birmingham, Springer Verlag
主编：
Qin, Y Jia, L Feng, J An, M Diao, L
出版地：
233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
The work was supported by Students’ Scientific Research Project of WHPU (xsky2015033) and Innovation Training Project of WHPU (CXXL201510024).
机构署名：
本校为第一且通讯机构
院系归属：
数学与计算机学院
摘要：
Meeting users’ Quality of Service (QoS) requirements is a key problem of tasks scheduling in cloud computing. A cloud tasks scheduling algorithm CTS_QoS based on maximal QoS satisfaction and minimal QoS distance between tasks and resources is presented in this paper. Under meeting maximal QoS satisfaction of user’s tasks, CTS_QoS can select the resources with minimal QoS distance to map. Experimental results show that though CTS_QoS cannot guarantee a high resource utilization, it can gain users’ QoS satisfaction...
