Classification and Impact Analysis of Faults in Automated System Management

McLarnon, Barry; Robinson, Philip; Sage, Paul; Milligan, Peter

doi:10.1109/depend.2010.34

Cited by 1 publication

(1 citation statement)

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“…Service Level Agreements (SLAs), which are contracts between an infrastructure provider and a service provider depend in general on certain chosen criteria, such as service latency, throughput, availability and security (Xiong et al, 2011). An SLA typically includes penalty clauses that penalize the infrastructure provider if it fails to execute the jobs within quality of service (QoS) constraints or requirements (McLarnon et al, 2010). The existence of SLA penalty clauses enable the system to maintain certain standards of services expected by users.…”

Section: Impactmentioning

confidence: 99%

Cost and Risk Aware Support for Cloud SLAs

Jiang

Kirkham

Byrne

et al. 2013

Proceedings of the 3rd International Conference on Cloud Computing and Services Science

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Automated control of Cloud Service Level Agreements (SLA) is typically focused on Quality of Service (QoS) management and monitoring of the Cloud Infrastructure in-line with the SLA. Using risk assessments to bridge the needs of the Service Provider and Infrastructure Provider is one way in which the management of the whole Cloud SLA life-cycle can be achieved automatically. In this paper we adapt the QoS based risk approach and combine it with business orientated goal monitoring to improve the business input into the management of SLA from both a Cloud IP and SP perspective. We demonstrate this approach using probability of failure QoS risk linked to economic modelling of cost from the business goals of a SP.

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Section: Impactmentioning

confidence: 99%