MÔ H SIMULATION OF SCHEDULING ALGORITHM IN GRID COMPUTING ác giả , thttien@dut udn vn óm tắt ác t i i t các m i c t t á g g tá g có ả g t các t i g tá giải t các t i g t g c t t t i c g các m i t g t[.]
MÔ H SIMULATION OF SCHEDULING ALGORITHM IN GRID COMPUTING ác giả: , thttien@dut.udn.vn óm tắt: ác t i i t m i c t t g g tá g có ả g t t i g tá giải t t i g t g c t t t ic g m i t gt t i t i g t g tá m t t g mi i ả t c t c c ác i c i c ác c t i g t t ả t i g c g g t g tá t i g m t i m ct ải cải ti m t i ả m i gi i t i g t t t c i gi i t i t tt c m gt i t t gt t i gc gc m g i i i c g i i im M t c g c m ó m gt i g i các m g g ó : Mô ô Abstract: Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing They can aggregate distributed resources to solve large-scale problems in science, engineering, and commerce In Grid and P2P computing environments, the resources are usually geographically distributed in multiple administrative domains managed and owned by different organizations with different policies, and interconnected by wide-area networks or the Internet The management of resources and scheduling of applications in such large-scale distributed systems is a complex undertaking In order to prove the effectiveness of resource brokers and associated scheduling algorithms, this paper introduces Economic-based scheduling algorithms in Grid Computing by using a Javabased discrete-event Grid simulation toolkit called GridSim The toolkit supports modeling and simulation of heterogeneous Grid resource, users and application models Key words: Grid computing; GridSim; Resource; Resource broker; Processing elements