A Multi-agent Infrastructure and a Service Level Agreement Negotiation Protocol for Robust Scheduling in Grid Computing

Ouelhadj, Djamila; Garibaldi, Jonathan M.; MacLaren, Jon; Sakellariou, Rizos; Krishnakumar, Krish T.

doi:10.1007/11508380_66

Cited by 67 publications

(41 citation statements)

References 13 publications

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“…Most of related works consider virtualization approaches [17,32,23] without taking care of agreements or concentrate on SLA management neglecting the appropriate resource virtualizations [35,9]. Works presented in [31,29] discuss incorporation of SLA-based resource brokering into existing Grid systems, but they do not deal with virtualization. Venugopal et al propose a negotiation mechanism for advance resource reservation using the alternate offers protocol [40], however, it is assumed that both partners understand the alternate offers protocol.…”

Section: Related Workmentioning

confidence: 99%

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

Kertész

Kecskeméti

Brandić

2014

Future Generation Computer Systems

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Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and virtualization. An important characteristic of Cloud-based services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on execution time or price. However, due to system malfunctions, changing workload conditions, hard-and software failures, established SLAs can be violated. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are needed. In this paper we present a self-manageable architecture for SLA-based service virtualization that provides a way to ease interoperable service executions in a diverse, heterogeneous, distributed and virtualized world of services. We demonstrate in the paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient service operation in distributed environments.

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Section: Related Workmentioning

confidence: 99%

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

Kertész

Kecskeméti

Brandić

2014

Future Generation Computer Systems

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“…Work presented in this paper is the first attempt to develop an SLA-coupled autonomic Cloud infrastructure in an adequate way. Works presented in [19], [17] discuss incorporation of SLA-based resource brokering into existing Grid systems, but they do not deal with virtualization. The Rudder framework [15] facilitates automatic Grid service composition based on semantic service discovery and space based computing.…”

Section: Related Workmentioning

confidence: 99%

Autonomic SLA-Aware Service Virtualization for Distributed Systems

Kertész

Kecskeméti

Brandić

2011

2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing

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Abstract-Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a threelayered infrastructure including agreement negotiation, service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.

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“…They focused on the application layer, whereby a given service may indicate the QoS properties it can offer, or where a service may search for other services based on particular QoS properties. Ouelhadj et al (2005) proposed a new infrastructure for efficient job scheduling on the Grid using multi-agent systems and a SLA negotiation protocol based on the Contract Net Protocol. In their protocol, the agents exchange SLA-announcements, SLA-bids and SLA-awards to negotiate the schedule of jobs on Grid compute resources.…”

Section: Related Workmentioning

confidence: 99%

On the Fly Negotiation for Urgent Service Level Agreement on Intercloud Environment

Mehdi¹

2011

Journal of Computer Science

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Problem statement: Impatient jobs are the jobs that have strict constraints in starting and completion time and need a fast response and attention in mapping to resources. The negotiation process in cloud computing needs a customer-provider agreement that leads to loss of a significant amount of time for impatient jobs. The huge increasing in cloud service providers makes selecting the best provider an exhaustive task. Approach: We considered the problem of Service Level Agreement (SLA) negotiation and commitment process for immediate mode scheduling under intercloud paradigm. This study explored an alternative model dedicated for impatient jobs under intercloud paradigm. We developed a model of negotiation where the cloud-broker had the ability to nominate the best cloud provider, commit the agreement and submit the jobs for execution. Cloudsim simulators with synthetic datasets had been used to evaluate the proposed system. Results: The results showed an improvement in SLA waiting time and the number of jobs failure. Conclusion: This study proved the importance of rapid mapping for impatient jobs in increasing system throughput.

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A Multi-agent Infrastructure and a Service Level Agreement Negotiation Protocol for Robust Scheduling in Grid Computing

Cited by 67 publications

References 13 publications

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

Autonomic SLA-Aware Service Virtualization for Distributed Systems

On the Fly Negotiation for Urgent Service Level Agreement on Intercloud Environment

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