DocumentCode
1593644
Title
Scheduling Policies Supporting Co-allocation and Advance Reservation for Large-Scale Distributed Environments
Author
Li, Bo ; Yang, Man ; Wu, Hao ; Yang, Jundong
Author_Institution
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
Volume
3
fYear
2010
Firstpage
24
Lastpage
27
Abstract
Resource co-allocation is one of the crucial technologies affecting the utility and quality of services of large-scale distributed environments by simultaneously allocating multiple resources to one application. This paper concentrated on the problem to guarantee the QoS of co-allocation jobs via advance reservation and investigated the performances of two typical scheduling algorithms with and without advance reservation. Simulations have shown that advance reservation is effective to improve the QoS of co-allocation.
Keywords
large-scale systems; quality of service; resource allocation; scheduling; QoS; advance reservation; large-scale distributed environments; resource coallocation; scheduling policies; Computational modeling; Computer simulation; Distributed computing; Information science; Job shop scheduling; Large-scale systems; Performance evaluation; Processor scheduling; Quality of service; Resource management; Advance reservation; Co-allocation; Scheduling policy;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4244-5642-0
Electronic_ISBN
978-1-4244-5643-7
Type
conf
DOI
10.1109/ICCMS.2010.381
Filename
5421171
Link To Document