An agent based modeling for huge synchronized task processing

Satoshi Takahashi; Tokuro Matsuo

An agent based modeling for huge synchronized task processing

Satoshi Takahashi
, Tokuro Matsuo

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

Abstract

This paper studies a heuristics method for huge synchronized task allocation problem. In many huge task processing, it is easy to consider that their huge tasks are divided into many subtasks processed by many distributed computers. It is known that the distributed computing is fast approach when their machines process independently. However, it is necessary to communicate between each machine to solve the problem in appreciation level. We treat a snowplow problem as an example of the huge synchronized task allocation problem. We employ an agent simulation for solving the snowblower problem. Copyright ISCA, CAINE 2014.

Original language	English
Title of host publication	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014
Editors	Takaaki Goto
Publisher	International Society of Computers and Their Applications (ISCA)
Pages	151-156
Number of pages	6
ISBN (Electronic)	9781880843970
Publication status	Published - 2014
Externally published	Yes
Event	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 - New Orleans, United States Duration: 13-10-2014 → 15-10-2014

Publication series

Name	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014

Conference

Conference	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014
Country/Territory	United States
City	New Orleans
Period	13-10-14 → 15-10-14

All Science Journal Classification (ASJC) codes

Computer Science Applications
Industrial and Manufacturing Engineering

Cite this

Takahashi, S., & Matsuo, T. (2014). An agent based modeling for huge synchronized task processing. In T. Goto (Ed.), 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 (pp. 151-156). (27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014). International Society of Computers and Their Applications (ISCA).

Takahashi, Satoshi ; Matsuo, Tokuro. / An agent based modeling for huge synchronized task processing. 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014. editor / Takaaki Goto. International Society of Computers and Their Applications (ISCA), 2014. pp. 151-156 (27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014).

@inproceedings{3e4cb0841e374613874682be0b67896f,

title = "An agent based modeling for huge synchronized task processing",

abstract = "This paper studies a heuristics method for huge synchronized task allocation problem. In many huge task processing, it is easy to consider that their huge tasks are divided into many subtasks processed by many distributed computers. It is known that the distributed computing is fast approach when their machines process independently. However, it is necessary to communicate between each machine to solve the problem in appreciation level. We treat a snowplow problem as an example of the huge synchronized task allocation problem. We employ an agent simulation for solving the snowblower problem. Copyright ISCA, CAINE 2014.",

keywords = "Agent heuristics, Supermodular function minimization, Task allocation problem",

author = "Satoshi Takahashi and Tokuro Matsuo",

year = "2014",

language = "English",

series = "27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014",

publisher = "International Society of Computers and Their Applications (ISCA)",

pages = "151--156",

editor = "Takaaki Goto",

booktitle = "27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014",

note = "27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 ; Conference date: 13-10-2014 Through 15-10-2014",

}

Takahashi, S & Matsuo, T 2014, An agent based modeling for huge synchronized task processing. in T Goto (ed.), 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014. 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014, International Society of Computers and Their Applications (ISCA), pp. 151-156, 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014, New Orleans, United States, 13-10-14.

An agent based modeling for huge synchronized task processing. / Takahashi, Satoshi; Matsuo, Tokuro.
27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014. ed. / Takaaki Goto. International Society of Computers and Their Applications (ISCA), 2014. p. 151-156 (27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014).

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

TY - GEN

T1 - An agent based modeling for huge synchronized task processing

AU - Takahashi, Satoshi

AU - Matsuo, Tokuro

PY - 2014

Y1 - 2014

N2 - This paper studies a heuristics method for huge synchronized task allocation problem. In many huge task processing, it is easy to consider that their huge tasks are divided into many subtasks processed by many distributed computers. It is known that the distributed computing is fast approach when their machines process independently. However, it is necessary to communicate between each machine to solve the problem in appreciation level. We treat a snowplow problem as an example of the huge synchronized task allocation problem. We employ an agent simulation for solving the snowblower problem. Copyright ISCA, CAINE 2014.

AB - This paper studies a heuristics method for huge synchronized task allocation problem. In many huge task processing, it is easy to consider that their huge tasks are divided into many subtasks processed by many distributed computers. It is known that the distributed computing is fast approach when their machines process independently. However, it is necessary to communicate between each machine to solve the problem in appreciation level. We treat a snowplow problem as an example of the huge synchronized task allocation problem. We employ an agent simulation for solving the snowblower problem. Copyright ISCA, CAINE 2014.

KW - Agent heuristics

KW - Supermodular function minimization

KW - Task allocation problem

UR - https://www.scopus.com/pages/publications/84913601518

UR - https://www.scopus.com/pages/publications/84913601518#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:84913601518

T3 - 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014

SP - 151

EP - 156

BT - 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014

A2 - Goto, Takaaki

PB - International Society of Computers and Their Applications (ISCA)

T2 - 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014

Y2 - 13 October 2014 through 15 October 2014

ER -

Takahashi S, Matsuo T. An agent based modeling for huge synchronized task processing. In Goto T, editor, 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014. International Society of Computers and Their Applications (ISCA). 2014. p. 151-156. (27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014).

An agent based modeling for huge synchronized task processing

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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Cite this