Dynamic customers’ requirements and providers’resources availability in the Cloud market make it inadequatestatic approaches to guarantee QoS levels and to define pricing.In this context, automatic negotiation guided by dynamicinformation and market conditions is a viable way to achievehigh satisfaction levels for both parties. We propose to exploitcapacity planning to support bilateral negotiation processes withthe aim of optimizing the utility for service providers, by avoidingcontracts that could incur in SLAs violations, keeping, at thesame time, competitive prices. The proposed technique exploits anon-additive utility function defined in the region of acceptableSLA proposals, taking into account QoS, resources availability,costs and penalties. The paper shows the benefit of the proposeddynamic approach with respect to static approaches through apreliminary experimental analysis.

Capacity-aware Utility Function for SLA Negotiation of Cloud Services

Zimeo E.
2013-01-01

Abstract

Dynamic customers’ requirements and providers’resources availability in the Cloud market make it inadequatestatic approaches to guarantee QoS levels and to define pricing.In this context, automatic negotiation guided by dynamicinformation and market conditions is a viable way to achievehigh satisfaction levels for both parties. We propose to exploitcapacity planning to support bilateral negotiation processes withthe aim of optimizing the utility for service providers, by avoidingcontracts that could incur in SLAs violations, keeping, at thesame time, competitive prices. The proposed technique exploits anon-additive utility function defined in the region of acceptableSLA proposals, taking into account QoS, resources availability,costs and penalties. The paper shows the benefit of the proposeddynamic approach with respect to static approaches through apreliminary experimental analysis.
2013
978-076955152-4
Capacity planning, Cloud services, Negotiation, SLA
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/10872
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