A New Distributed Strategy to Schedule Computing Resource

被引：0

作者：

Wang, Qi ^{[1
]}

Deng, Pan ^{[2
]}

Yang, Qinghong ^{[1
]}

Yuan, Wei ^{[2
]}

Nie, Yaolong ^{[2
]}

Bi, Chaofan ^{[2
]}

Chao, Han-Chieh ^{[3
,4
,5
]}

机构：

[1] Beihang Univ, Dept Software, 35 Northern Shining Tower,10th Floor, Beijing 100191, Peoples R China

[2] Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China

[3] Natl Ilan Univ, Inst Comp Sci & Informat, Hualien, Taiwan

[4] Natl Ilan Univ, Dept Elect Engn, Hualien, Taiwan

[5] Natl Dong Hwa Univ, Dept Elect Engn, Hualien 97401, Taiwan

来源：

CLOUD COMPUTING (CLOUDCOMP 2014) | 2015年 / 142卷

关键词：

Distributed scheduling; Computing resource; Parallel computing; Video analysis task;

D O I：

10.1007/978-3-319-16050-4_22

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Distributed scheduling strategy for computing resource (DSSCR) talks about a wide range of knowledge, such as distributed parallel computing, resource scheduling, heartbeat monitoring and data security. When people deal with a large number of concurrent computing tasks, designing a reasonable, efficient, safe scheduling system becomes important, it needs not only to execute safely, reduce the pressure on the server, but also improve the efficiency of task execution and correct results return. So the focus of this paper is to propose a DCRSS to solve the above problems. Nine categories of test cases are designed to assess its efficiency. There are 355 tests are executed, the success rate is over 90 %, saving 60 % time.

引用

页码：216 / 224

页数：9

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