JURNAL INTERNASIONAL
Journal of Theoritical and Apllied Information Technology
With network technology development, Grid Computing satisfies the demand of scientific community's computing power. grid facilitates global computing infrastructure for user to utilize the service s over the network. A robust multi-objective schenduling algorithm is required to optimize workflow grid execution. Schenduling is a research area in Grid computing. Grid schenduling's objective is to deliver Quality of service (QoS) to grid users and raise resource use. Three conflicting abjectives execution time (makespan), toal cost and reability are considered in this investigation. A genetic Algorithm (GA) including an Ant Colony Optimization (AOC) to schendule grids is proposed in this investigation. The proposed GA with local search proves its effectiveness in Grrid Schenduling.
| JI03220049 | 004.0285 JATIT J Jurnalinternasional | Perpus STMIK (Jurnal Internasional) | Tersedia |
Tidak tersedia versi lain