The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 52-668
Full Name: Harikesh Singh
Position: Lecturer
Age: ON
Sex: Male
Address: CSE Department, Jaypee University of Engineering & Technology, AB Road, Raghogarh, Guna(MP)
Country: INDIA
Tel: 9425618408
Tel prefix: 91
Fax: 07544267011
E-mail address: harikeshsingh@yahoo.co.in
Other E-mails: harikeshsingh@hotmail.com
Title of the Paper: Load Distribution in Distributed Parallel Storage System
Authors as they appear in the Paper: Harikesh Singh, Dr. Shishir Kumar
Email addresses of all the authors: harikeshsingh@yahoo.co.in, dr.shishir@yahoo.co.in
Number of paper pages: 10
Abstract: A collection of independent computers called as distributed system that appears to its users as a single coherent system. This facility has been extended to provide enormous memory available at different geographic location in form of Distributed Parallel Storage System (DPSS). One important characteristic of Distributed Parallel Storage System is that the differences between the various computers and the ways in which they communicate are mostly hidden from users. Users and applications can interact with a distributed system in a consistent and uniform way regardless of where and when interaction takes place. In principle DPSS should be relatively easy to expand or scale. In parallel processing, a single computer uses more than one CPU to execute programs. Distributed processing over local-area networks (LANs) designed so that a single program can run simultaneously at various sites. Most distributed processing systems contain primitive software that detects idle !
CPUs on the network and parcels out programs to utilize them. A methodology has been developed for the performance of load distribution in DPSS to support several different types of data-intensive applications. The performance, use, and potential use of a scalable, high-performance, distributed-parallel data storage system have been elaborated in this paper. A collection of local area distributed disk servers operate in parallel to access large data sets. Operated primarily as a network-based system, the architecture supports cooperation among independently owned resources to provide fast, large-scale, on-demand storage to support data handling, simulation, and computation. DPSS is a network striped disk array, but it is unique in manner architecturally that it allows client application's complete freedom to determine optimal data layout, replication and/or coding redundancy strategy, security policy, and dynamic reconfiguration.
Keywords: Distributed Processing, Distributed Parallel Storage System (DPSS), Load distribution, Data-intensive applications, MPPs
EXTENSION of the file: .pdf
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