Virtual Workspaces in the Grid

Keahey, K.; Foster, Ian; Freeman, T.; Zhang, Xuehai; Galron, Daniel

doi:10.1007/11549468_49

Cited by 124 publications

(75 citation statements)

References 9 publications

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“…On a basis of virtualization technologies, previous systems provide virtual execution environments either for grid computing [16] [27] presents a system for creating personal clusters in userspace to support the submission and management of thousands of compute-intensive serial jobs, which allows the expansion of local resources on-demand during busy computation periods. Lim et al [37] addresses elastic control of the storage tier in multi-tier application services.…”

Section: Infrastructure For Scientific Communitiesmentioning

confidence: 99%

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Wang

Zhan

Shi

et al. 2012

IEEE Trans. Parallel Distrib. Syst.

100

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Abstract-The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud computing: in cloud, can small-to-medium scale scientific communities benefit from the economies of scale? Our research contributions are three-fold: first, we propose an innovative public cloud usage model for small-to-medium scale scientific communities to utilize elastic resources on a public cloud site while maintaining their flexible system controls, i.e., create, activate, suspend, resume, deactivate, and destroy their high-level management entities-service management layers without knowing the details of management. Second, we design and implement an innovative system-DawningCloud, at the core of which are lightweight service management layers running on top of a common management service framework. The common management service framework of DawningCloud not only facilitates building lightweight service management layers for heterogeneous workloads, but also makes their management tasks simple. Third, we evaluate the systems comprehensively using both emulation and real experiments. We found that for four traces of two typical scientific workloads: high throughput computing (HTC) and many task computing (MTC), DawningCloud saves the resource consumption maximally by 59.5% and 72.6% for HTC and MTC service providers, respectively, and saves the total resource consumption maximally by 54% for the resource provider with respect to the previous two public cloud solutions. To this end, we conclude that small-to-medium scale scientific communities indeed can benefit from the economies of scale of public clouds with the support of the enabling system.

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Section: Infrastructure For Scientific Communitiesmentioning

confidence: 99%

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Wang

Zhan

Shi

et al. 2012

IEEE Trans. Parallel Distrib. Syst.

100

View full text Add to dashboard Cite

show abstract

“…VMPlant also allows the creation of flexible VMs that can be efficiently deployed (by implementing a caching-based deployment) across distributed Grid resources. In addition to this, it is typical that these virtual environments can be scheduled among different nodes by using virtualization features such as pausing and migration, as occurs in Globus Virtual Workspace [19] and SoftUDC [20]. Additionally, the latter adds an efficient shared storage between nodes located in different locations.…”

Section: Related Workmentioning

confidence: 99%

Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers

Goiri

Julià

Ejarque

et al. 2009

2009 Eighth IEEE International Symposium on Network Computing and Applications

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Abstract-Resource management is a key challenge that service providers must adequately face in order to ensure their profitability. This paper describes a proof-of-concept framework for facilitating resource management in service providers, which allows reducing costs and at the same time fulfilling the quality of service agreed with the customers. This is accomplished by means of virtualization. Our approach provides application-specific virtual environments and consolidates them in order to achieve a better utilization of the providers resources. In addition, it implements self-adaptive capabilities for dynamically distributing the providers resources among these virtual environments based on Service Level Agreements. The proposed solution has been implemented as a part of the Semantically-Enhanced Resource Allocator prototype developed within the BREIN European project. The evaluation shows that our prototype is able to react in very short time under changing conditions and avoid SLA violations by rescheduling efficiently the resources.

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“…Automatic service deployment can improve deployment significantly by using on-demand deployment and selfhealing services. To support these features this paper describes an extension the Globus Workspace Service [10]. This extension includes creating virtual appliances for Grid services, service deployment from a repository, and influencing the service schedules by altering execution planning services, candidate set generators or information systems.…”

Section: Introductionmentioning

confidence: 99%

Automatic Service Deployment Using Virtualisation

Kecskeméti

Kacsuk

Terstyánszky

et al. 2008

16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)

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Manual deployment of the application usually requires expertise both about the underlying system and the application. Automatic service deployment can improve deployment significantly by using on-demand deployment and selfhealing services. To support these features this paper describes an extension the Globus Workspace Service [10]. This extension includes creating virtual appliances for Grid services, service deployment from a repository, and influencing the service schedules by altering execution planning services, candidate set generators or information systems.

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Virtual Workspaces in the Grid

Cited by 124 publications

References 9 publications

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers

Automatic Service Deployment Using Virtualisation

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