Title :
Service Level Agreements in a Rental-based System
Author :
Nazir, Amril ; Liu, Hao ; Sørensen, S.-A.
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. London, London, UK
fDate :
June 29 2010-July 1 2010
Abstract :
In this paper, we investigate how Service Level Agreeements (SLAs) can be incorporated as part of the system´s scheduling and rental decisions to satisfy the different performance promises of high performance computing (HPC) applications. Such SLAs are contracts which specify a set of application-driven requirements such as the estimated total load, contract duration, total utility value and the estimated total number of generated jobs. We present several scheduling and rental based policies that make use of these SLA parameters and demonstrate the effectiveness of such policies to accurately predict and plan for resource levels in a rental-based system.
Keywords :
business data processing; contract law; rental; scheduling; software architecture; SLA parameters; application-driven requirement; contract duration; high performance computing; load estimation; rental based policies; rental decision; service level agreement; system scheduling; Contracts; Measurement; Organizations; Processor scheduling; Quality of service; Runtime; Scheduling; cloud computing; cost effective scheduling; grid computing; service level agreements;
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
DOI :
10.1109/CIT.2010.460
