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 -