Towards Autonomic Service Provisioning Systems

This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services subject to QoS constraints, and a certain number of servers used to run session-based traffic. Customers pay for having their jobs run, but requ...

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Vydáno v:2010 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing s. 273 - 282
Hlavní autor: Mazzucco, Michele
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2010
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ISBN:1424469872, 9781424469871
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Abstract This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services subject to QoS constraints, and a certain number of servers used to run session-based traffic. Customers pay for having their jobs run, but require in turn certain quality guarantees: there are different SLAs specifying charges for running jobs and penalties for failing to meet promised performance metrics. The system is driven by an utility function, aiming at optimizing the average earned revenue per unit time. Demand and performance statistics are collected, while traffic parameters are estimated in order to make dynamic decisions concerning server allocation and admission control. Different utility functions are introduced and a number of experiments aiming at testing their performance are discussed. Results show that revenues can be dramatically improved by imposing suitable conditions for accepting incoming traffic, the proposed system performs well under different traffic settings, and it successfully adapts to changes in the operating environment.
AbstractList This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services subject to QoS constraints, and a certain number of servers used to run session-based traffic. Customers pay for having their jobs run, but require in turn certain quality guarantees: there are different SLAs specifying charges for running jobs and penalties for failing to meet promised performance metrics. The system is driven by an utility function, aiming at optimizing the average earned revenue per unit time. Demand and performance statistics are collected, while traffic parameters are estimated in order to make dynamic decisions concerning server allocation and admission control. Different utility functions are introduced and a number of experiments aiming at testing their performance are discussed. Results show that revenues can be dramatically improved by imposing suitable conditions for accepting incoming traffic, the proposed system performs well under different traffic settings, and it successfully adapts to changes in the operating environment.
Author Mazzucco, Michele
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  organization: Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus
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Snippet This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services...
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StartPage 273
SubjectTerms Admission control
autonomic computing
Buildings
Clouds
Computer architecture
Computer science
Costs
Delay
Grid computing
QoS
Quality of service
SLA
utility function
Web services
Title Towards Autonomic Service Provisioning Systems
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