DocumentCode :
2860814
Title :
The Owner Share Scheduler for a Distributed System
Author :
Falavinha, J.N. ; Manacero, Aleardo ; Livny, Miron ; Bradley, Daniel
Author_Institution :
Dept. of Electr. Eng., Sao Paulo State Univ. (UNESP), Ilha Solteira, Brazil
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
298
Lastpage :
305
Abstract :
In large distributed systems, where shared resources are owned by distinct entities, there is a need to reflect resource ownership in resource allocation. An appropriate resource management system should guarantee that resource´s owners have access to a share of resources proportional to the share they provide. In order to achieve that some policies can be used for revoking access to resources currently used by other users. In this paper, a scheduling policy based in the concept of distributed ownership is introduced called Owner Share Enforcement Policy (OSEP). OSEP goal is to guarantee that owner do not have their jobs postponed for longer periods of time. We evaluate the results achieved with the application of this policy using metrics that describe policy violation, loss of capacity, policy cost and user satisfaction in environments with and without job checkpointing. We also evaluate and compare the OSEP policy with the Fair-Share policy, and from these results it is possible to capture the trade-offs from different ways to achieve fairness based on the user satisfaction.
Keywords :
distributed processing; resource allocation; scheduling; distributed ownership; job checkpointing; large distributed systems; owner share enforcement policy; owner share scheduler; policy cost; policy violation; resource allocation; resource management system; resource ownership; scheduling policy; user satisfaction; Checkpointing; Computer science; Costs; Hardware; Helium; Measurement; Parallel processing; Processor scheduling; Resource management; Scheduling algorithm; Distribute systems; Fair Scheduling; Ownership concept; Scheduling Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops, 2009. ICPPW '09. International Conference on
Conference_Location :
Vienna
ISSN :
1530-2016
Print_ISBN :
978-1-4244-4923-1
Electronic_ISBN :
1530-2016
Type :
conf
DOI :
10.1109/ICPPW.2009.19
Filename :
5366030
Link To Document :
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