Quality assurance of Grid service provisioning by risk aware managing of resource failures

Keller, Axel; Voß, Kerstin; Battré, Dominic; Hovestadt, Matthias; Kao, Odej

doi:10.1109/crisis.2008.4757475

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…The AssessGrid project [24], [25] also is intended to empower selection of service provider with risk in a Grid. The project mainly focuses on timely delivery of results and considers risk only as a probability to satisfy this requirement [26], [27], [28].…”

Section: Related Workmentioning

confidence: 99%

Risk-Based Usage Control for Service Oriented Architecture

Krautsevich

Lazouski

Martinelli³

et al. 2010

2010 18th Euromicro Conference on Parallel, Distributed and Network-Based Processing

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In Service Oriented Architecture (SOA) data belonging to a client (data provider) is often processed by a provider (data consumer). During this processing the data can be compromised. A client wants to be sure that its data is used in the least risky way while is under provider's control. The risk level should be low when access to the data is granted and should remain low during the whole interaction and, maybe, some time after. Therefore, a client has to consider closely various providers and decide which one provides the service with the smallest risk. More importantly, the risk has to be constantly recomputed after granting the access to the data, i.e., usage of data must be controlled.In this work we propose a method to empower usage control with a risk-based decision making process for more efficient and flexible control of access to data. Employing this idea we show how to select a service provider using risk, re-evaluate the risk level when some changes have happened and how to improve an infrastructure in order to reduce the risk level.

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Section: Related Workmentioning

confidence: 99%

Risk-Based Usage Control for Service Oriented Architecture

Krautsevich

Lazouski

Martinelli³

et al. 2010

2010 18th Euromicro Conference on Parallel, Distributed and Network-Based Processing

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“…SLA provisioning has been considered and service providers have given quality assurance to end user in the form of SLA. Risk aware failure management has been considered in this work in the form of QoS but other important QoS parameters as time and cost have not been discussed [18]. OGSA based service ecosystem [22], a resilient infrastructure for services' provisioning on demand has been developed.…”

Section: Resource Provisioning-with Qosmentioning

confidence: 99%

Formal QoS Policy Based Grid Resource Provisioning Framework

Aron

Chana

2012

J Grid Computing

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Grid resource provisioning is a complex task that is often compromised due to nonavailability of the desired resources. The heterogeneous and dynamic nature of the Grid resources depends on the Quality of Service (QoS) based resource provisioning for allocation of appropriate resources to Grid applications. Until resource provisioning is considered a fundamental capability, predictable QoS cannot be delivered to the Grid consumers. A resource provisioning policy based on QoS parameters is required for efficient Grid resource provisioning. In this paper a resource provisioning framework has been proposed. This framework offers resource provisioning policy that caters to provisioned resource allocation and resource scheduling. The policy rules have been specified in XML schema. The policy has been validated by Z Formal specification language and implementation has been demonstrated through a case study. The experimental results demonstrate that QoS based provisioned approach is effective in minimizing cost and submission burst time of applications in comparison to the existing approaches.

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“…Some recent works [1,2] propose management risk and ranking mechanisms to assure QoS in Grid Systems.…”

Section: Related Workmentioning

confidence: 99%

Reputation-Aware Learning for SLA Negotiation

Lamali¹,

Barth²,

Cohen³

2012

NETWORKING 2012 Workshops

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Abstract. Assuring Quality of Service (QoS) over multiple Network Service Providers (NSPs) requires to negotiate QoS contracts as Service Level Agreements (SLAs) between NSPs. The goal of an NSP is to maximize its revenues by selling as much as possible SLAs. However, provisioning too much SLAs might increase the risk of violations of the committed QoS thus impacting the NSP's reputation. In order to determine the appropriate provisioning strategies, we propose to extend existing solutions based on Reinforcement Learning with reputation-awareness so that NSPs maximize their revenues.

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Quality assurance of Grid service provisioning by risk aware managing of resource failures

Cited by 8 publications

References 13 publications

Risk-Based Usage Control for Service Oriented Architecture

Risk-Based Usage Control for Service Oriented Architecture

Formal QoS Policy Based Grid Resource Provisioning Framework

Reputation-Aware Learning for SLA Negotiation

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