Replica Management in the European DataGrid Project

Cameron, D.; Casey, James W.; Guy, L. P.; Kunszt, Péter Z.; Lemaitre, Sophie; McCance, Gavin; Stockinger, Heinz; Stockinger, Kurt; Andronico, Giuseppe; Bell, W. H.; Ben-Akiva, Itzhak; Bosio, Diana; Chytracek, R.; Domenici, Andrea; Donno, Flavia; Hoschek, Wolfgang; Laure, Erwin; Levi, Lucio; Millar, Audrey; Salconi, Livio; Segal, Ben; Silander, Mika

doi:10.1007/s10723-004-5745-x

Cited by 40 publications

(26 citation statements)

References 18 publications

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“…In particular, we discuss the performance of the core functionalities and the optimization component. For detailed performance figures on the interaction with the Replica Location Service as well as the Replica Metadata Catalog, we refer the reader to [7].…”

Section: Resultsmentioning

confidence: 99%

“…Preliminary implementation details and results have then been presented in [17]. During the final phases of the EDG project, feedback from several user communities has been collected and the implementation has evolved as outlined in [7]. In the following, we give more implementation details that correspond to the final version of the code developed within the EDG project.…”

Section: Implementation Detailsmentioning

confidence: 99%

“…One particular change of the implementation with respect to the original design is that the logic of the coordination replica management service is implemented on the client-side rather than offering a separate service; this is to defer the issues we originally faced with the details of authorization with respect to delegation of rights to services as described in [7].…”

Section: Implementation Detailsmentioning

confidence: 99%

See 2 more Smart Citations

File-based replica management

Kunszt¹,

Laure²,

Stockinger³

et al. 2005

Future Generation Computer Systems

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Section: Resultsmentioning

confidence: 99%

Section: Implementation Detailsmentioning

confidence: 99%

Section: Implementation Detailsmentioning

confidence: 99%

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File-based replica management

Kunszt¹,

Laure²,

Stockinger³

et al. 2005

Future Generation Computer Systems

Self Cite

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“…A single local replica catalog (LRC) instance of the LCG replica location service (RLS) [17] was deployed at CERN to locate all the replicas. Transfer tools relied on the LRC component of the RLS as a global file catalogue to store physical file locations.…”

Section: B Data Distributionmentioning

confidence: 99%

Distributed computing grid experiences in CMS

Andreeva

Anjum²,

Barrass

et al. 2005

IEEE Trans. Nucl. Sci.

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Abstract-The CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data. During 2004 CMS undertook a large scale data challenge to demonstrate the ability of the CMS computing system to cope with a sustained data-taking rate equivalent to 25% of startup rate. Its goals were: to run CMS event reconstruction at CERN for a sustained period at 25 Hz input rate; to distribute the data to several regional centers; and enable data access at those centers for analysis. Grid middleware was utilized to help complete all aspects of the challenge. To continue to provide scalable access from anywhere in the world to the data, CMS is developing a layer of software that uses Grid tools to gain access to data and resources, and that aims to provide physicists with a user friendly interface for submitting their analysis jobs. This paper describes the data challenge experience with Grid infrastructure and the current development of the CMS analysis system.

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“…As the study on Data Grid becoming more popular, techniques of replica management become increasingly well into research [2,3]. Replica management service discovers the available replicas and selects the best replica that based on some selection criteria.…”

Section: Introductionmentioning

confidence: 99%

A VO-Based Two-Stage Replica Replacement Algorithm

Tian

Luo

2007

Lecture Notes in Computer Science

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Abstract. Due to high latency of the Internet, it becomes a challenge to access large and widely distributed data quickly and efficiently on data grids. Replication is a process to address this issue, by storing data in different locations to reduce access latency and improve data locality. However, because of the limited storage capacity, a good replica replacement algorithm is needed to improve the efficiency of the access to the replicas. In this paper, a VO-based two-stage replica replacement algorithm is proposed, which provides a good solution to deal with the relations between value and cost. In a VO, replica value is determined according to popularity to make sure which replica will be replaced, and the bandwidth is predicted to make replacement cost as low as possible. Experiments show that compared with traditional replacement algorithms our new replica replacement algorithm shows better performance and efficiency of the data access on Data Grids.

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Replica Management in the European DataGrid Project

Cited by 40 publications

References 18 publications

File-based replica management

File-based replica management

Distributed computing grid experiences in CMS

A VO-Based Two-Stage Replica Replacement Algorithm

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