By Kuan-ching Li, Ching-hsien Hsu, Laurence Tianruo Yang, Jack Dongarra, Hans Zima
The earlier decade has witnessed a fruitful proliferation of more and more excessive functionality scalable computing platforms usually as a result of availability of permitting applied sciences in undefined, software program, and networks. The instruction manual of study on Scalable Computing applied sciences offers principles, effects, and stories in major developments and destiny demanding situations of allowing applied sciences. A defining physique of analysis on issues akin to service-oriented computing, data-intensive computing, and cluster and grid computing, this instruction manual of analysis comprises useful findings for these concerned with constructing programming instruments and environments in computing in addition to these in similar upper-level undergraduate and graduate classes.
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Extra info for Handbook of Research on Scalable Computing Technologies (2-Volumes)
Sample text
A. (2003). Grids: The teragrid, and beyond. IEEE Computer, 36(1), 62–68. ). 0/data/rls/ Siagri, R. (2007). Pervasive computers and the GRID: The birth of a computational exoskeleton for augmented reality. 1-4), Croatia. ). php/Main_Page Srinivasan, S. H. (2005). Pervasive wireless grid architecture. 83-88), Switzerland. ). org/. ). ). , & Maginnis T. (2002). PODOS - The design and implementation of a performance oriented Linux cluster. Future Generation Computer Systems, 18(3), 335–352. 1016/ S0167-739X(01)00055-3 KEY TERMS AND DEFINITIONS Grid Computing: A new technology has been developed to contribute to the powerful computing ability for supporting distributed computing applications.
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. INTRODUCTION The current scientific problems are becoming more and more complex for computers. As the aid of the advances in the computing power of hardware and the diversification of the Internet services, distributed computing applications are becoming more and more important and wide-spread. However, the past technologies such as cluster and parallel computing are insufficient to process the data-intensive or computing-intensive applications with the large amount of data file transmissions.
A user can access a variety of resources conveniently through the Web Services deployed in our system. We have adapted the layered-design approach to implement the pervasive grid system. The design framework of pervasive grid system appears in Figure 3(a). The layered-design makes pervasive grid system more flexible if new services are added to the system as needed. Based on the Web Services architecture, we develop a service-oriented provider, which offers users a comprehensive grid computing service, including data, computation and information service.