TY - GEN
T1 - Group-based resource selection algorithm supporting fault-tolerance in mobile grid
AU - Choi, Sook Kyong
AU - Cho, In Seock
AU - Chung, Kwang Sik
AU - Song, Byungkwen
AU - Yu, Heon Chang
PY - 2007
Y1 - 2007
N2 - Grid computing provides environment that can executes job efficiently by sharing resources in heterogeneous environment. Grid computing environment is evolving into wireless grid and mobile grid environments that consider user mobility and integrate mobile devices into wired grid. Recently, mobile devices are increasing by much in performance, and users also increasing. So researches on utilizing mobile devices have being studied, but most of them don't use mobile devices as resources and don't consider characteristics of mobile devices. Therefore, in this paper, we propose a group-based resource selection algorithm that supports fault-tolerance in mobile grid and considers various characteristics of mobile devices. Our proposed algorithm 1) considers remaining battery power, mobility, and performance of mobile devices, 2) calculates rank of mobile devices and classifies to K groups, and then, 3) assigns a job to top-N groups concurrently for fault-tolerance. Ranking and grouping of mobile devices are performed to consider dynamic characteristics of mobile devices whenever a job is submitted.
AB - Grid computing provides environment that can executes job efficiently by sharing resources in heterogeneous environment. Grid computing environment is evolving into wireless grid and mobile grid environments that consider user mobility and integrate mobile devices into wired grid. Recently, mobile devices are increasing by much in performance, and users also increasing. So researches on utilizing mobile devices have being studied, but most of them don't use mobile devices as resources and don't consider characteristics of mobile devices. Therefore, in this paper, we propose a group-based resource selection algorithm that supports fault-tolerance in mobile grid and considers various characteristics of mobile devices. Our proposed algorithm 1) considers remaining battery power, mobility, and performance of mobile devices, 2) calculates rank of mobile devices and classifies to K groups, and then, 3) assigns a job to top-N groups concurrently for fault-tolerance. Ranking and grouping of mobile devices are performed to consider dynamic characteristics of mobile devices whenever a job is submitted.
UR - http://www.scopus.com/inward/record.url?scp=50149104574&partnerID=8YFLogxK
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U2 - 10.1109/SKG.2007.99
DO - 10.1109/SKG.2007.99
M3 - Conference contribution
AN - SCOPUS:50149104574
SN - 0769530079
SN - 9780769530079
T3 - 3rd International Conference on Semantics, Knowledge, and Grid, SKG 2007
SP - 426
EP - 429
BT - 3rd International Conference on Semantics, Knowledge, and Grid, SKG 2007
T2 - 3rd International Conference on Semantics, Knowledge, and Grid, SKG 2007
Y2 - 29 October 2007 through 31 October 2007
ER -