DocumentCode
2140231
Title
A different approach for allocating tasks in a DCS using A
Author
Biplab Kumer Sarker ; Tripathi, Anil Kumar ; Vidyarth, Deo Prukash ; Kuniaki Uehara
Author_Institution
Graduate Sch. of Sci. & Technol., Kobe Univ., Japan
fYear
2003
fDate
27-29 Aug. 2003
Firstpage
577
Lastpage
581
Abstract
In a distributed computing systems (DCS) tasks may consist of multiple modules. Tasks submitted to a DCS, are usually partitioned into different modules and the modules may be allocated to different processing nodes so as to achieve minimum turn around time of the tasks utilizing the maximum resources of the existing system such as CPU speed, memory capacities etc. The problem lies on how to obtain the optimal allocation of these multiple tasks by keeping in mind that no processing node is overloaded due to this allocation. We propose an algorithm A*RS using well-known A* which aims to reduce the search space and time for allocating the tasks by minimizing the turn around time of tasks in the way so that processing nodes do not become overloaded due to this allocation. Our experimental results justify the claims with necessary supports by comparing it with the earlier algorithm for multiple tasks allocation.
Keywords
computational complexity; graph theory; minimax techniques; processor scheduling; resource allocation; task analysis; A*RS algorithm; CPU speed; DCS; distributed computing system; inter module communication; load balancing; memory capacity; multiple task allocation; Collaboration; Computer science; Cost function; Distributed computing; Distributed control; Load management; Resource management; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
Print_ISBN
0-7803-7840-7
Type
conf
DOI
10.1109/PDCAT.2003.1236368
Filename
1236368
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