Pervasive Grid and its Applications

Pervasive Grid and its Applications

Ruay-Shiung Chang, Jih-Sheng Chang
Copyright: © 2012 |Pages: 12
DOI: 10.4018/978-1-4666-0879-5.ch112
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Abstract

With the advancements of computer system and communication technologies, Grid computing can be seen as the popular technology bringing about significant revolution for the next generation distributed computing application. As regards general users, a grid middleware is complex to setup and necessitates a steep learning curve. How to access to the grid system transparently from the point of view of users turns into a critical issue then. Therefore, various challenges may arise from the incomprehensive system design as coordinating existing computing resources for the sake of achieving pervasive grid environment. The authors are going to investigate into the current research works of pervasive grid as well as analyze the most important factors and components for constructing a pervasive grid system here. Finally, in order to facilitate the efficiency in respect of teaching and research within a campus, they would like to introduce their pervasive grid platform.
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(Mario, 2003) brought up an architecture of pervasive grid with utilization of diverse grid technologies as indicated in Figure 1(a). For example, knowledge grid is able to extract interesting information from a huge amount of data source by means of the data mining technology. Semantic grid is an emerging technology, aiming for the translation of semantic job to corresponding grid job or command. The grid fabric provides various grid services, including data grid and information grid. Data grid intends to process data-intensive jobs by way of the powerful distributed storage system and data management technology in order to bring about superior performance with minimal job exection time. Information grid provides job broker with complete system information for job dispatch. The interconnection between diverse computing resources is achieved via P2P technology coupled with efficient management strategies, tending towards a more fullness architecture.

Figure 1.

978-1-4666-0879-5.ch112.f01

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