European DataGrid Project: Experiences of Deploying a Large Scale Testbed for E-science Applications

Gagliardi, Fabrizio; Jones, Bob; Reale, Mario; Bürke, S.

doi:10.1007/3-540-45798-4_20

Cited by 24 publications

(19 citation statements)

References 8 publications

(2 reference statements)

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“…Thus, it seems appropriate that, upon intercepting such a new (Figure 2 (1,2)), Remon should send ReB a reservation request for a computing resource (3).…”

Section: Resource Request Monitor (Remon)mentioning

confidence: 99%

“…Within the European DataGrid (EDG) project [3], an architecture inspired by the 'anatomy of the Grid' vision [8] has been developed to offer job and resource management services. These are based on, and use the services of, the Globus toolkit version 2.…”

Section: Reference Environmentmentioning

confidence: 99%

“…Currently, tools such as the Resource Broker for the European DataGrid [3] are employed to help find the appropriate host for an application and, in some cases, to deploy it. Resource allocation is possible through a software component called GRAM [4], which exploits the schedulers that resources themselves have to provide to make their allocation possible.…”

Section: Introductionmentioning

confidence: 99%

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Supporting resource reservation and allocation for unaware applications in Grid systems

Stefano

Fargetta

Pappalardo

et al. 2005

Concurrency and Computation

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SUMMARYThe dynamics of resource request rates in a Grid system can be wide ranging, to the point that request peaks for a single resource can be difficult to handle and end up greatly increasing the response time. Once a request has been submitted by a client, this has to cope with the potential overload arising. However, it is impractical to cure overload once it takes place by negotiating a different service or finding an equivalent resource, since the client would then bear the delay due to negotiation and re-submission. Instead, in order to effectively exploit Grid resources, it is crucial that applications perform reservation of resources before using them. Reservation allows a management system to consider application needs in advance and take suitable action to improve resource availability. In particular, this enables additional resources to be secured beforehand in the background when appropriate to avoid a potential overload, rather than paying the involved costs when overload arises. This paper proposes a software architecture that integrates applications with Globus services to conveniently handle resource reservation and allocation. Within the architecture, the computational reflection technology transparently connects applications with components that take care of advance reservation, as they dynamically sense the applications' resource needs. This dynamic information augments static knowledge gathered offline from static program code analysis.

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“…Thus, it seems appropriate that, upon intercepting such a new (Figure 2 (1,2)), Remon should send ReB a reservation request for a computing resource (3).…”

Section: Resource Request Monitor (Remon)mentioning

confidence: 99%

Section: Reference Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Supporting resource reservation and allocation for unaware applications in Grid systems

Stefano

Fargetta

Pappalardo

et al. 2005

Concurrency and Computation

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“…Major grid deployments include the Large Hadron Collider (LHC) Computing Grid [74], Open Science Grid [75], TeraGrid [76], UK National Grid Service [77], German D-Grid [78], and XSEDE [79]. European grid projects comprised of European Data Grid (EDG) in 2001 [80], Enabling Grids for e-Science in Europe in 2004 [81], Business Experiments in Grid (BEinGRID) in 2006 [82], and European Grid Infrastructure (EGI) in 2010 [83].…”

Section: Grid Computingmentioning

confidence: 99%

High‐performance computing: to boldly go where no human has gone before

Limet

Smari

Spalazzi

2015

Concurrency and Computation

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International audienceComputing and computational science are well on their way to enter into the exascale era while High Performance Computing (HPC) is now present in many spheres and domains of modern society. New technologies such as cloud computing, big data, and connected objects open many perspectives and possibilities that were unattainable until now. These are high times for computing and for HPC in particular. The High Performance Computing \& Simulation conference aims to bring together researchers working on various aspects of HPC, their design and use, and their applications. As has been the conference tradition, selected extended papers of HPCS 2012 are presented in this special issue. These should be interesting contributions that supplement the current state-of-the-art research in HPC. To relate these works and highlight their value, in this article, we briefly trace back the history of HPC, sketch the state of the present research and development in the field, and project some of the challenges and future trends anticipated

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“…The highly distributed nature of the resources used by even just one Virtual Organization (VO), spanning many different management and security domains, raises both technical and policy issues. This paper presents achievements in solving some of these problems, supported by colleagues in the European DataGrid (EDG) project [1]. We refer to a comprehensive security architecture, but in this paper focus on components in the area of Grid authentication and authorization.…”

Section: Introductionmentioning

confidence: 99%