Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1007/978-3-319-16050-4_22 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
Distributed scheduling,Computing resource,Parallel computing,Video analysis task | Data security,Heartbeat,Scheduling (computing),Computer science,Resource scheduling,Scheduling system,Distributed algorithm,Test case,Concurrent computing,Distributed computing | Conference |
Volume | ISSN | Citations |
142 | 1867-8211 | 2 |
PageRank | References | Authors |
0.41 | 7 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qi Wang | 1 | 295 | 62.64 |
Pan Deng | 2 | 25 | 3.85 |
Qinghong Yang | 3 | 2 | 0.75 |
Wei Yuan | 4 | 26 | 2.68 |
Yaolong Nie | 5 | 2 | 0.41 |
Chaofan Bi | 6 | 22 | 2.28 |
Han-Chieh Chao | 7 | 2 | 0.41 |