R-GMA: An Information Integration System for Grid Monitoring

Cooke, Andrew W.; Gray, Alasdair J. G.; Ma, Lisha; Nutt, Werner; Magowan, James; Oevers, Manfred; Taylor, Paul; Byrom, Rob; Field, Laurence; Hicks, Steve; Leake, J.; Soni, Manish; Wilson, Antony; Cordenonsi, Roney; Cornwall, L.; Djaoui, A.; Fisher, Steve; Podhorszki, Norbert; Coghlan, Brian; Kenny, Stuart; O'Callaghan, David

doi:10.1007/978-3-540-39964-3_29

Cited by 86 publications

(57 citation statements)

References 9 publications

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“…Other renderings that have been used include XML (the Nordugrid ARC middleware [15]) and SQL (R-GMA [5]). Furthermore, the XML approach to handling Extensions differs significantly to the LDAP approach.…”

Section: Related Work Glue Rendering and Information Modelsmentioning

confidence: 99%

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Overview and Evaluation of Conceptual Strategies for Accessing Cpu-Dependent Execution Resources in Grid Infrastructures

Walsh

Dukes

Pierantoni

et al. 2015

csci

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The emergence of many-core and massively-parallel computational accelerators (e.g., GPGPUs) has led to user demand for such resources in grid infrastructures. A widely adopted approach for discovering and accessing such resources has, however, yet to emerge. GPGPUs are an example of a larger class of computational resources, characterized in part by dependence on an allocated CPU. This paper terms such resources "CPU-Dependent Execution Resources" (CDERs). Five conceptual strategies for discovering and accessing CDERs are described and evaluated against key criteria, and all five strategies are compliant with GLUE 1.3, GLUE 2.0, or both. From this evaluation, two of the presented strategies clearly emerge as providing the greatest flexibility for publishing both static and dynamic CDER information and identifying CDERs that satisfy specific job requirements. Furthermore, a two-phase approach to job-submission is proposed for those jobs requiring access to CDERs. The approach is compatible with existing grid services. Examples are provided to illustrate job submission under each strategy.

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Section: Related Work Glue Rendering and Information Modelsmentioning

confidence: 99%

“…The Relational Grid Monitoring Architecture (R-GMA) [5] was developed as a generic grid information system based on a Producer/Consumer model. Inserting, updating, deleting, and querying of data was available through command-line tools and an API that supported a subset of the SQL92 query language standard.…”

Section: Other Information Systemsmentioning

confidence: 99%

Overview and Evaluation of Conceptual Strategies for Accessing Cpu-Dependent Execution Resources in Grid Infrastructures

Walsh

Dukes

Pierantoni

et al. 2015

csci

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“…First, Grid Information Services need to be able to support dynamically assembled service collections gathered at any one time to solve a particular problem at hand such as calculating damages from disruptions at the time of a crisis. Most of the traditional Grid Information Services [5][6] however are not built along this model. Second, Information Services should scale in numbers and geographical area.…”

Section: Motivationmentioning

confidence: 99%

“…Second, Information Services should scale in numbers and geographical area. Most existing solutions [5][6] however have centralized components and do not address scalability and high performance issues. Third, Information Services need to be able to take into account user demand changes when making decisions on metadata access and storage.…”

Section: Motivationmentioning

confidence: 99%

“…For an example, Globus Monitoring and Discovery System (MDS4) [5] has a structured architecture where there is a single top-level Information Service that presents a uniform interface to clients to access data, while the data is collected by lower-level information providers. Relational Grid Monitoring Architecture (R-GMA) [6] presents a relational model where users query/store/access metadata centrally and if information found directly connect to information providers to retrieve the data without intermediary nodes. Another example is the structured P2P systems where the nodes in the systems are equally enabled and controlled and service information is disseminated to all nodes (CAN [7], Chord [8]).…”

Section: Introductionmentioning

confidence: 99%

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Fault tolerant high performance Information Services for dynamic collections of Grid and Web services

Aktaş

Fox

Pierce

2007

Future Generation Computer Systems

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Abstract. E-Science Semantic Grids can often be thought of as dynamic collection of semantic subgrids where each subgrid is a collection of modest number of services that assembled for specific tasks. We define a Gaggle as a modest number of managed and actively interacting Grid/Web Services, where services are put together for particular functionality. The information management requirements in Gaggles include both the management of large amounts of relatively static services and associated semantic information as well as the management of multiple dynamic regions (sessions or subgrids) where the semantic information is changing frequently. We design a hybrid, fault tolerant, and high performance Information Service supporting both the scalability of large amounts of relatively slowly varying data and a high performance rapidly updated Information Service for dynamic regions. We use the two Web Service standards: Universal Description, Discovery, and Integration (UDDI) and Web Services Context (WS-Context). We evaluate our approach by applying various tests to investigate the performance and sustainability of the centralized version of our implementation that is applied to sensor and collaboration grids. The experimental study on system responsiveness of the proposed approach shows promising results. This study indicates that communication among services can be achieved with efficient centralized metadata strategies, with metadata coming from more than two services. In contrast point-to-point methodologies provide service conversation with metadata only from the two services that exchange information. In addition, our performance indicates that efficient mediator services also allow us to perform collective operations such as queries on subsets of all available metadata in service conversation.

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A replicated information system to enable dynamic collaborations in the Grid

Torres

Moltó

Segrelles

et al. 2012

Concurrency and Computation

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The main advantage of Grid computing over other distributed computing paradigms is its capability to coordinate the access to data and resources in a virtual multi-institutional environment. To this end, the information system plays a decisive role in selecting the services that meet the applications' needs. This paper presents an information system for the Grid that provides transparent and scalable group communication services to standard Grid applications, with the objective of supporting dynamic collaborations that could help address problems that involve only some participants of a virtual organization. In particular, it enables more flexible delivery mechanisms, which allows applications to select the appropriate services before sending their data to the information system. This significantly enhances the protection of data from unauthorized access, and avoids the transmission of unnecessary messages over the network. The proposed information system is based on the use of XML technologies and replication. It introduces several new advanced features that are not currently supported as a whole by any Grid middleware, such as: several entry points to the information, persistent capabilities, support for advanced queries based on XQuery, and support for the industrial standard WS-Policy. The information system has been stress tested under realistic workloads in a Grid infrastructure with 50 sites. Scalability has been evaluated in up to 1000 messages that can be up to 10 KB in size each, updated with a frequency of 5 min.Initiative is a strong collaborative and cooperative link with the Portuguese National Grid Initiative through the IBERGRID agreement. This infrastructure is connected to the European Grid Infrastructure (EGI) [6]. The IBERGRID VO for Life Science applications (life.vo.ibergrid.eu) is an example of VO that has been created in the context of EGI to support the research activity in the life science community. This VO enables international collaboration in medical imaging, bioinformatics, and drug discovery.However, dynamic collaborations present a challenge to Grid information systems, because they do not provide a simple way to define special access rights agreed by part of the members of a VO. For example, in a system like VOMS [7], this problem occurs when two or more groups of the VO agree to collaborate on the achievement of a particular objective. Although this can be tackled through the use of thematic VO subgroups, this approach has the disadvantage of requiring the approval of an administrator of the VO (except for very few services such as file catalogues), and requires the reconfiguration of the infrastructure to support differentiation among groups. Moreover, any interaction with the membership to groups must be done through the VO admin role, but even so, the usage of groups to support temporal collaborations is a widely used feature (e.g., biomed VO, IBERGRID VOs) because users in the VO are normally authorized to access all the resources, regardless of the group that they belong to...

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R-GMA: An Information Integration System for Grid Monitoring

Cited by 86 publications

References 9 publications

Overview and Evaluation of Conceptual Strategies for Accessing Cpu-Dependent Execution Resources in Grid Infrastructures

Overview and Evaluation of Conceptual Strategies for Accessing Cpu-Dependent Execution Resources in Grid Infrastructures

Fault tolerant high performance Information Services for dynamic collections of Grid and Web services

A replicated information system to enable dynamic collaborations in the Grid

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