Resource Choice in Large Level Scattered Systems By Means Of Accessibility of Information
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2011 by IJCOT Journal|
|Year of Publication : 2011|
|Authors : Bachina Anusha , T.V.Sai Krishna|
Bachina Anusha , T.V.Sai Krishna . "Resource Choice in Large Level Scattered Systems By Means Of Accessibility of Information" . International Journal of Computer & organization Trends (IJCOT), V1(3):45-49 Nov - Dec 2011, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Scientific applications are data intensive and require access to a significant amount of dispersed data. Hence, in order to accommodate data - intensive applications in loosely coupled distributed systems, it is essential to consider not only the computational capability, but also the data accessibility of computational nodes to the required data objects. We introduce the notion of accessibility to capture both availability and performance. An increasing number of data - intensive applications require not only considerations of node computation power but also accessibility for adequate job allocations. For instance, selecting a node with intolerably slow connections can offset any benefit to running on a fast node. In this project, we present accessibility - aware resource selection tec hniques by which it is possible to choose nodes that will have efficient data access to remote data sources. We show that the local data access observations collected from a node’s neighbors are sufficient to characterize accessibility for that node. The s uggested techniques are also shown to be stable even under churn despite the loss of prior observations.
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Data Accessibility, resource choice, large - level scattered systems