Download PDF by Hai Zhuge, Xiang Li (auth.), Hai Jin, Omer F. Rana, Yi Pan,: Algorithms and Architectures for Parallel Processing: 7th

By Hai Zhuge, Xiang Li (auth.), Hai Jin, Omer F. Rana, Yi Pan, Viktor K. Prasanna (eds.)

ISBN-10: 3540729046

ISBN-13: 9783540729044

ISBN-10: 3540729054

ISBN-13: 9783540729051

Parallel and disbursed computing within the Nineteen Eighties and Nineties had nice in?uence onapplication developmentin technological know-how, engineering andbusiness computing. The advancements in computation and conversation services have enabled the production of difficult purposes in serious domain names reminiscent of the surroundings, overall healthiness, aerospace, and different parts of technology and know-how. equally, new classesofapplicationsareenabledbytheavailabilityofheterogeneouslarge-scale disbursed structures that are changing into to be had these days (based on techno- giessuchasgridandpeer-to-peersystems).Parallelcomputingsystemsexploita huge range of laptop architectures, from supercomputers, shared-memory or distributed-memory multi processors, to neighborhood networks and clusters of p- sonal desktops. With the new emergence of multi center architectures, parallel computing is now set to accomplish “mainstream” prestige. techniques which were recommended through parallelcomputing researchersin the earlier are actually being used in a couple of software program libraries and platforms which are to be had for daily use. Parallel computing rules have additionally come to dominate parts equivalent to multi person gaming (especially within the improvement of gaming engines in response to “cell” arc- tectures) – frequently neglected by means of many “serious” researchers some time past, yet which now are set to have a transforming into consumer base of millions internationally. in recent times, concentration has additionally shifted to aid power e?ciency in com- tation, with a few researchers providing a brand new metric of functionality in response to Flops/Watt.

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Additional info for Algorithms and Architectures for Parallel Processing: 7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007. Proceedings

Example text

The results obtained from the constructed model are validated in Section 4. Section 5 uses the analytical model to carry out network performance analysis. Finally, Section 6 concludes this study. 2 Bursty and Batch Arrival Traffic This section briefly presents the Generalised Exponential (GE) distribution for modelling bursty and batch arrival network traffic. Let X denote a random variable represented by a GE distribution with mean, 1 / λ , and squared coefficient of variation (SCV), C 2 . The cumulative distribution function, F (t ) , of X can be given by [8], [9]: F (t ) = P( X ≤ t ) = 1 − τ e −τ λ t , t≥0 .

263/MPEG-4 for video codec) during the multimedia transmission capability exchanges. IMN roaming between 3G and WiFi: For the 3G terminals that roam in the WiFi, AnyServer uses Info Synch and HLR/VLR Adaptor to enable the communications between WiFi and 3G. The roaming interface is to be established in AnyServer platform based on 3G and WiFi standards. IMN Registration through WiFi Networks: For WiFi-IMN, the WiFi layer authentication procedure is achieved through WiFi gateway. AnyServer enables WiFi Registered IMN to roam into 3G networks: When IMN enters 3G networks, it is able to hear the broadcast message from 3G base station (BS) and then it registers the BS through VLR.

67 34 Y. Wu, G. Min, and L. 06 Fig. 3. 67 Performance Analysis of Interconnection Networks Under Bursty and Batch Arrival Traffic 35 5 Performance Analysis In this section, we use the derived analytical model to investigate the impact of bursty and batch arrival traffic with various batch sizes on the performance of hypercubic networks. 6, respectively. e. increasing the batch size) degrades the network performance as the message latency increases. Moreover, the longer messages experience higher latency than the shorter messages as the batch size increases.

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Algorithms and Architectures for Parallel Processing: 7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007. Proceedings by Hai Zhuge, Xiang Li (auth.), Hai Jin, Omer F. Rana, Yi Pan, Viktor K. Prasanna (eds.)


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