Building a production grid in Scandanavia

Uppsala University, Uppsala, Uppsala, Sweden
IEEE Internet Computing (Impact Factor: 1.71). 08/2003; 7(4):27- 35. DOI: 10.1109/MIC.2003.1215657
Source: DBLP


Innovative middleware solutions are key to the NorduGrid testbed, which spans academic institutes and supercomputing centers throughout Scandinavia and Finland and provides continuous grid services to its users.

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Available from: A. Konstantinov, Dec 25, 2013
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    • "It is exemplified on the ARC grid middleware (Ellert et al. (2007)) which uses libraries of the Globus Toolkit (Foster (2006)). ARC is employed by multiple grids throughout Europe (Eerola et al. (2003); Podvinec et al. (2006)) and beyond. "
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    • "The basic UCP model is further extended by including the leasing of communications services, resulting in Utility Computing Communications Providers (UC 2 P). One currently evolving model of utility computing is based on grid computing [7], and the GRASP [6] project is exploring the grid paradigm based around the Application Service Provider model. However the UC 2 P infrastructure, as envisaged , demands the NGG -Next Generation Grid which needs to encompass more resources and provide greater flexibility in terms of mobility, resource allocation and economy based resource allocation than the current Grid implemen- tations. "
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    • "For a thorough description of the NorduGrid ARC middleware , see [1]. "
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    ABSTRACT: The NorduGrid middleware, ARC, has integrated sup- port for querying and registering to Data Indexing services such as the Globus Replica Catalog and Globus Replica Location Server. This support allows one to use these indexing services for for example brokering during job- submission, automatic registration of files and many other things. This integrated support is complemented by a set of command-line tools for registering to and querying these Data Indexing services. In this article we will describe experiences with these indexing services both from a daily work point of view and in production environments such as the Atlas Data- Challenges 1 and 2. We will describe the advantages of such Data Indexing services as well as their shortcomings. Finally we will present a proposal for an extended Smart Indexing Service which should deal with the shortcomings described. Such an indexing service is being designed at the moment.
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