A new distributed strategy to schedule computing resource

Qi Wang; Pan Deng; Qinghong Yang; Wei Yuan; Yaolong Nie; Chaofan Bi; Han Chieh Chao

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

A new distributed strategy to schedule computing resource

Qi Wang^*
, Pan Deng
, Qinghong Yang
, Wei Yuan
, Yaolong Nie
, Chaofan Bi
, Han Chieh Chao

^*Corresponding author for this work

Beihang University
CAS - Institute of Software
National Ilan University Taiwan
National Dong Hwa University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers
Editors	Roy Xiaorong Lai, Victor C.M. Leung, Min Chen, Jiafu Wan
Publisher	Springer Verlag
Pages	216-224
Number of pages	9
ISBN (Electronic)	9783319160498
DOIs	https://doi.org/10.1007/978-3-319-16050-4_22
State	Published - 2015
Externally published	Yes
Event	5th International Conference on Cloud Computing, CloudComp 2014 - Guilin, China Duration: 19 Oct 2014 → 21 Oct 2014

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	142
ISSN (Print)	1867-8211

Conference

Conference	5th International Conference on Cloud Computing, CloudComp 2014
Country/Territory	China
City	Guilin
Period	19/10/14 → 21/10/14

Keywords

Computing resource
Distributed scheduling
Parallel computing
Video analysis task

Access to Document

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

Cite this

Wang, Q., Deng, P., Yang, Q., Yuan, W., Nie, Y., Bi, C., & Chao, H. C. (2015). A new distributed strategy to schedule computing resource. In R. X. Lai, V. C. M. Leung, M. Chen, & J. Wan (Eds.), Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers (pp. 216-224). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 142). Springer Verlag. https://doi.org/10.1007/978-3-319-16050-4_22

Wang, Qi ; Deng, Pan ; Yang, Qinghong et al. / A new distributed strategy to schedule computing resource. Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers. editor / Roy Xiaorong Lai ; Victor C.M. Leung ; Min Chen ; Jiafu Wan. Springer Verlag, 2015. pp. 216-224 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{fcb4c977160a48759af5fbc75644065b,

title = "A new distributed strategy to schedule computing resource",

abstract = "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.",

keywords = "Computing resource, Distributed scheduling, Parallel computing, Video analysis task",

author = "Qi Wang and Pan Deng and Qinghong Yang and Wei Yuan and Yaolong Nie and Chaofan Bi and Chao, \{Han Chieh\}",

note = "Publisher Copyright: {\textcopyright} Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.; 5th International Conference on Cloud Computing, CloudComp 2014 ; Conference date: 19-10-2014 Through 21-10-2014",

year = "2015",

doi = "10.1007/978-3-319-16050-4\_22",

language = "英语",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "216--224",

editor = "Lai, \{Roy Xiaorong\} and Leung, \{Victor C.M.\} and Min Chen and Jiafu Wan",

booktitle = "Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers",

address = "德国",

}

Wang, Q, Deng, P, Yang, Q, Yuan, W, Nie, Y, Bi, C & Chao, HC 2015, A new distributed strategy to schedule computing resource. in RX Lai, VCM Leung, M Chen & J Wan (eds), Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 142, Springer Verlag, pp. 216-224, 5th International Conference on Cloud Computing, CloudComp 2014, Guilin, China, 19/10/14. https://doi.org/10.1007/978-3-319-16050-4_22

A new distributed strategy to schedule computing resource. / Wang, Qi; Deng, Pan; Yang, Qinghong et al.
Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers. ed. / Roy Xiaorong Lai; Victor C.M. Leung; Min Chen; Jiafu Wan. Springer Verlag, 2015. p. 216-224 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 142).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new distributed strategy to schedule computing resource

AU - Wang, Qi

AU - Deng, Pan

AU - Yang, Qinghong

AU - Yuan, Wei

AU - Nie, Yaolong

AU - Bi, Chaofan

AU - Chao, Han Chieh

N1 - Publisher Copyright: © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Computing resource

KW - Distributed scheduling

KW - Parallel computing

KW - Video analysis task

UR - https://www.scopus.com/pages/publications/84924742322

U2 - 10.1007/978-3-319-16050-4_22

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

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AN - SCOPUS:84924742322

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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BT - Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers

A2 - Lai, Roy Xiaorong

A2 - Leung, Victor C.M.

A2 - Chen, Min

A2 - Wan, Jiafu

PB - Springer Verlag

T2 - 5th International Conference on Cloud Computing, CloudComp 2014

Y2 - 19 October 2014 through 21 October 2014

ER -

Wang Q, Deng P, Yang Q, Yuan W, Nie Y, Bi C et al. A new distributed strategy to schedule computing resource. In Lai RX, Leung VCM, Chen M, Wan J, editors, Cloud Computing - 5th International Conference, CloudComp 2014, Revised Selected Papers. Springer Verlag. 2015. p. 216-224. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-16050-4_22

A new distributed strategy to schedule computing resource

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Keywords

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