By M. A. Berlin, Sheila Anand (auth.), Natarajan Meghanathan, Nabendu Chaki, Dhinaharan Nagamalai (eds.)
The 3 quantity set LNICST eighty four - LNICST 86 represent the refereed court cases ofthe moment overseas convention on computing device technological know-how and InformationTechnology, CCSIT 2012, held in Bangalore, India, in January 2012. The fifty five revised complete papers provided during this quantity have been rigorously reviewed andselected from various submissions. The papers are geared up in topical sectionson advances in desktop technological know-how and data know-how; and advert hoc andubiquitous computing.
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Additional info for Advances in Computer Science and Information Technology. Computer Science and Information Technology: Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III
Dataset for Standard Deviation The results are graphically depicted in Figure 3. 34 B. Swaminathan and Sheila A. Fig. 3. Graph for the dataset It can be concluded that for large jobs and datasets, it is significantly faster with multiple peers sharing the processing load. In analyzing the performance benefits of the proposed system, it is clear that as the number of peers in a P2P environment increases, the time taken to process the job modules reduces. 5 Conclusion and Future Work The proposed collaborative framework for P2P provides a scalable and reliable means for processing large jobs.
Most of the current work on P2P is in the area of data or content sharing. We propose a generic collaborative framework to facilitate distributed processing among peers by enabling provision for job or task scheduling, distributing of a task among multiple peers, messaging between peers, monitoring job execution, follow up and obtain the results of the completed tasks. Peer profiles are maintained to enable peers to discover other willing peers and explore their capacity and capability for distributed processing.
Journal of Graph Theory 12(2), 237–243 (2006) Collaborative Framework for Distributed Computing in P2P Network B. com Abstract. In this paper, we propose a Collaborative Framework for P2P to enable distribution processing of tasks or application among multiple peers. P2P networks provide a completely decentralized environment wherein each peer can provide services to other peers in the network. Most of the current work on P2P is in the area of data or content sharing. We propose a generic collaborative framework to facilitate distributed processing among peers by enabling provision for job or task scheduling, distributing of a task among multiple peers, messaging between peers, monitoring job execution, follow up and obtain the results of the completed tasks.