The virtual resource manager: an architecture for SLA-aware resource management

Burchard, L.-O.; Hovestadt, Matthias; Kao, Odej; Keller, Axel; Linnert, Barry

doi:10.1109/ccgrid.2004.1336558

Cited by 57 publications

(51 citation statements)

References 7 publications

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“…As opposed to our approach, Menasce performs analysis at design-time rather than providing a runtime based analysis. A different approach with the same goal is the virtual resource manager proposed by Burchard et al [10]. It targets a grid environment where a calculation task is distributed among different grid vertices for individual computation jobs.…”

Section: Related Workmentioning

confidence: 99%

Empirical Validation of MoDe4SLA; Approach for Managing Service Compositions

Bodenstaff

Wombacher

Reichert

2011

Business Information Systems

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Abstract. For companies managing complex Web service compositions, challenges arise which go far beyond simple bilateral contract monitoring. For example, it is not only important to determine whether or not a component (i.e., Web service) in a composition is performing properly, but also to understand what the impact of its performance is on the overall service composition. To tackle this challenge, in previous work we developed MoDe4SLA which allows managing and monitoring dependencies between services in a composition. This paper empirically validates MoDe4SLA through an extensive and interactive experiment among 34 participants.

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Section: Related Workmentioning

confidence: 99%

Empirical Validation of MoDe4SLA; Approach for Managing Service Compositions

Bodenstaff

Wombacher

Reichert

2011

Business Information Systems

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“…A particular target environment is the Virtual Resource Manager (VRM) described in [2]. This grid resource management system was designed to provide services able to meet new requirements such as support of service level agreements (SLA).…”

Section: Application Environmentmentioning

confidence: 99%

“…Support for advance reservations has been integrated into several management systems for distributed and parallel computing [4], [5]. In [2], advance reservations have been identified as essential for a number of higher level services, such as SLAs. The focus of this paper is on the requirements for dealing with failures and outages of resources that are reserved in advance.…”

Section: Related Workmentioning

confidence: 99%

“…Consequently, the definition of SLAs demands for control over each job and its required resources at any stage of the job's life-time from the request negotiation to the completion. An example for a resource management framework covering these aspects is the virtual resource manager architecture described in [2]. An application is depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

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A distributed load-based failure recovery mechanism for advance reservation environments

Burchard

Linnert

Schneider

2005

CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.

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Abstract-Resource reservations in advance are a mature concept for the allocation of various resources, particularly in grid environments. Common grid toolkits support advance reservations and assign jobs to resources at admission time. In such a distributed environment, it is necessary to develop carefully tailored failure recovery mechanisms that provide seamless transparent migration of jobs from one resource to another. As the migration of running jobs is difficult, an important issue in advance reservation, i.e., planning based, management infrastructures is to determine the duration of a failure in order to remap jobs that are already allocated to a currently failed resource but not yet active. As shown in previous work, underestimations of the failure duration and as a consequence the remapping of too few jobs results in an increased amount of job terminations. In order to overcome this drawback, in this paper we propose a load-based computation of the jobs to be remapped. A centralized and a distributed version of the strategy are presented, showing it is not necessary to have knowledge beyond the local allocation on the failed resource. The loadbased strategy achieves to effectively remap jobs while avoiding -inevitably inaccurate -estimations of the failure duration.

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“…This demands for control over each job and its required resources at any stage of the job's life-time from the request negotiation to the completion. An example for a resource management framework covering these aspects is the virtual resource manager architecture described in [3]. 4.…”

Section: Introductionmentioning

confidence: 99%

Failure Recovery in Distributed Environments with Advance Reservation Management Systems

Burchard

Linnert

2004

Utility Computing

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Abstract. Resource reservations in advance are a mature concept for the allocation of various resources, particularly in grid environments. Common grid toolkits such as Globus support advance reservations and assign jobs to resources at admission time. While the allocation mechanisms for advance reservations are available in current grid management systems, in case of failures the advance reservation perspective demands for strategies that support more than recovery of jobs or applications that are active at the time the resource failure occurs. Instead, also already admitted, but not yet started applications are affected by the failure and hence, need to be dealt with in an appropriate manner. In this paper, we discuss the properties of advance reservations with respect to failure recovery and outline a number of strategies applicable in such cases in order to reduce the impact of resource failures and outages. It can be shown that it pays to remap also affected but not yet started jobs to alternative resources if available. Alike reserving in advance, this can be considered as remapping in advance. In particular, a remapping strategy that prefers requests that were allocated a long time ago, provides a high fairness for clients as it implements similar functionality as advance reservations, while achieving the same performance as the other strategies.

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The virtual resource manager: an architecture for SLA-aware resource management

Cited by 57 publications

References 7 publications

Empirical Validation of MoDe4SLA; Approach for Managing Service Compositions

Empirical Validation of MoDe4SLA; Approach for Managing Service Compositions

A distributed load-based failure recovery mechanism for advance reservation environments

Failure Recovery in Distributed Environments with Advance Reservation Management Systems

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