Fault Tolerance in the R-GMA Information and Monitoring System

Byrom, Rob; Coghlan, Brian; Cooke, Andy; Cordenonsi, Roney; Cornwall, L.; Craig, M Kessler; Djaoui, A.; Duncan, Alastair; Fisher, Steve; Gray, Alasdair J. G.; Hicks, Steve; Kenny, Stuart; Leake, J.; Lyttleton, Oliver; Magowan, James; Middleton, R. P.; Nutt, Werner; O'Callaghan, David; Podhorszki, Norbert; Taylor, Paul; Walk, J; Wilson, Antony

doi:10.1007/11508380_76

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…However, these approaches suffer from sub-optimal scalability and lower fault tolerance, mostly due to the centralized nature of the directories, as discussed previously in Section 3.1. Nimrod-G [33] and Condor-G [34] are the examples of Grid super-schedulers where they have employed a centralized Grid information services such as R-GMA [35][36][37], Hawkeye [37,38] and Grid Market Directory (GMD) [39] to index their resource information.…”

Section: Grid Systemsmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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Section: Grid Systemsmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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“…Use of redundancy to achieve fault tolerance in grid monitoring systems was reported in [160] and in [161] which achieved fault tolerance by replicating monitoring data at multiple nodes. In [162], resources being monitored registered information about themselves in registries that could be accessed by interested parties to learn status of resources. Here, registries were replicated for fault-tolerance purposes.…”

Section: Supporting Grid Infrastructure and Resource Managementmentioning

confidence: 99%

Reliability in grid computing systems

Dabrowski

2009

Concurrency and Computation

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cdabrowski@nist.gov SUMMARYIn recent years, grid technology has emerged as an important tool for solving computeintensive problems within the scientific community and in industry. To further the development and adoption of this technology, researchers and practitioners from different disciplines have collaborated to produce standard specifications for implementing largescale, interoperable grid systems. The focus of this activity has been the Open Grid Forum, but other standards development organizations have also produced specifications that are used in grid systems. To date, these specifications have provided the basis for a growing number of operational grid systems used in scientific and industrial applications. However, if the growth of grid technology is to continue, it will be important that grid systems also provide high reliability. In particular, it will be critical to ensure that grid systems are reliable as they continue to grow in scale, exhibit greater dynamism, and become more heterogeneous in composition. Ensuring grid system reliability in turn requires that the specifications used to build these systems fully support reliable grid services. This study surveys work on grid reliability that has been done in recent years and reviews progress made toward achieving these goals. The survey identifies important issues and problems that researchers are working to overcome in order to develop reliability methods for large-scale, heterogeneous, dynamic environments. The survey also illuminates reliability issues relating to standard specifications used in grid systems, identifying existing specifications that may need to be evolved and areas where new specifications are needed to better support reliability.

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“…It is conceived to be distributed, secure and extensible. -APEL [7]: APEL (Accounting Processor for Event Logs) parses batch, system and gatekeeper logs generated by a site and builds accounting records, which provide a summary of the resources consumed based on attributes such as CPU time, Wall Clock Time, Memory and grid user DN. The collection of accounting usage records is done through R-GMA.…”

Section: State Of Art and Motivationmentioning

confidence: 99%

Distributed General Logging Architecture for Grid Environments

Alfonso

Caballer

Carrión

et al. 2007

Lecture Notes in Computer Science

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Abstract. The registry of information about the activity of applications is an important issue in Grid environments. There are different projects which have developed tools for supporting the track of the resources. Nevertheless, most of them are mainly focused in measuring CPU usage, memory, disk, etc. because they are oriented to the classical use of the Grid to share computational power and storage capacity. This paper proposes a distributed architecture which provides logging facilities in service oriented Grid environments (DiLoS). This architecture is structured so that can fit to hierarchical, flat, etc. grid deployments. The information generated during the activity in the services are scattered among the different levels of a Grid deployment, providing features such as backup of the information, delegation of the storage, etc. In order to create the hierarchy of log services, the architecture is based on discovery facilities that can be implemented in different ways, which the user may configure according to the specific deployment. A case of use is described, where the DiLoS architecture has been applied to the gCitizen project.

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Fault Tolerance in the R-GMA Information and Monitoring System

Cited by 9 publications

References 3 publications

Resource discovery for distributed computing systems: A comprehensive survey

Resource discovery for distributed computing systems: A comprehensive survey

Reliability in grid computing systems

Distributed General Logging Architecture for Grid Environments

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