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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    ABSTRACT: This work presents two independent approaches for a seamless integration of computational grids with the bioinformatics workflow suite Taverna. These are supported by a unique relational database to link applications with grid resources and presents those as workflow elements. A web portal facilitates its collaborative maintenance. The first approach implements a gateway service to handle authentication certificates and all communication with the grid. It reads the database to spawn web services for workflow elements which are in turn used by Taverna. The second approach lets Taverna communicate with the grid on its own, by means of a newly developed plug-in. It reads the database and executes the needed tasks directly on the grid. While the gateway service is non-intrusive, the plug-in has technical advantages, e.g. by allowing data to remain on the grid while being passed between workflow elements. AVAILABILITY:
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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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    ABSTRACT: In the effort to reach beyond 3G, researchers have been actively looking at utilizing new models for network based services. Small mobile, pervasive and ubiquitous devices will benefit from networked services and computation provided by utility computing providers and the virtual organizations that lease resources from them. As an additional factor, we believe that it is critical that the mobile, pervasive or ubiquitous devices be able to dynamically manipulate their resource specifications when obtaining services and resources from the utility computing and communication network. This requires a simple, manipulatable, and preferably modular resource specification structure. This paper presents the Resource Description Graph (RDG). The RDG is used to represent available and required resources for hosts and applications in a directed acyclic graph. The RDG has many desirable properties including inherent security, expressiveness, modularity, and composition. We show that the computational time to match RDG resource specifications, thirty resource types and constraints, is less than 1ms --- demonstrating that the RDG is a practical approach to resource specification with a low computational overhead.
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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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