@inproceedings{3932e68b141341ecbf12a49548cf62f5,
title = "Job scheduling for cloud computing integrated with wireless sensor network",
abstract = "The powerful data storage and data processing abilities of cloud computing (CC) and the ubiquitous data gathering capability of wireless sensor network (WSN) complement each other in CC-WSN integration, which is attracting growing interest from both academia and industry. However, job scheduling for CC integrated with WSN is a critical and unexplored topic. To fill this gap, this paper first analyzes the characteristics of job scheduling with respect to CC-WSN integration and then studies two traditional and popular job scheduling algorithms (i.e., Min-Min and Max-Min). Further, two novel job scheduling algorithms, namely priority-based two phase Min-Min (PTMM) and priority-based two phase Max-Min (PTAM), are proposed for CC integrated with WSN. Extensive experimental results show that PTMM and PTAM achieve shorter expected completion time than Min-Min and Max-Min, for CC integrated with WSN.",
keywords = "Cloud computing, Expected execution time, Job scheduling, Max-min, Min-min, Priority, Wireless sensor network",
author = "Chunsheng Zhu and Xiuhua Li and Leung, {Victor C.M.} and Xiping Hu and Yang, {Laurence T.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014 ; Conference date: 15-12-2014 Through 18-12-2014",
year = "2015",
month = feb,
day = "9",
doi = "10.1109/CloudCom.2014.106",
language = "English",
series = "Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom",
publisher = "IEEE Computer Society",
number = "February",
pages = "62--69",
booktitle = "Proceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014",
address = "United States",
edition = "February",
}
