DocumentCode :
2052381
Title :
Resource management with stateful support for analytic applications
Author :
Fong, Liana L. ; Crawford, Catherine H. ; Shaikh, Hidayatullah
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY
fYear :
2006
fDate :
25-29 April 2006
Abstract :
Analytic applications from various industrial sectors have specific attributes and requirements including relatively long processing time, parallelization, multiple interactive invocations, Web services, and expected quality of service objectives. Current parallel resource management systems for batch-oriented jobs lack the effective support for multiple interactive invocations with consideration in quality of service objectives, while transaction processing systems do not support dynamic creation of parallel application instances. To better serve the analytic applications, a set of additional resource management services, defined as stateful support, introduces the concept of service instance and service instance management. This set of stateful support services can be implemented as extension to existing parallel resource management to serve these analytic applications that rapidly increase in the demand of computing power
Keywords :
parallel processing; resource allocation; analytic application; batch-oriented jobs; parallel application; parallel resource management system; quality of service; service instance management; stateful support services; Application software; Cost function; Grid computing; Parallel processing; Portfolios; Power system management; Quality of service; Resource management; Vehicle dynamics; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location :
Rhodes Island
Print_ISBN :
1-4244-0054-6
Type :
conf
DOI :
10.1109/IPDPS.2006.1639695
Filename :
1639695
Link To Document :
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