By Hai Zhuge, Xiang Li (auth.), Hai Jin, Omer F. Rana, Yi Pan, Viktor K. Prasanna (eds.)
Parallel and dispensed computing within the Nineteen Eighties and Nineties had nice in?uence onapplication developmentin technological know-how, engineering andbusiness computing. The advancements in computation and verbal exchange services have enabled the production of not easy purposes in severe domain names equivalent to the surroundings, wellbeing and fitness, aerospace, and different components of technological know-how and know-how. equally, new classesofapplicationsareenabledbytheavailabilityofheterogeneouslarge-scale allotted platforms 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. ways which were recommended by means of parallelcomputing researchersin the prior are actually being used in a couple of software program libraries and platforms which are to be had for daily use. Parallel computing principles have additionally come to dominate components similar to multi consumer gaming (especially within the improvement of gaming engines in line with “cell” arc- tectures) – frequently overlooked by means of many “serious” researchers some time past, yet which now are set to have a growing to be person base of millions the world over. in recent times, concentration has additionally shifted to help strength e?ciency in com- tation, with a few researchers providing a brand new metric of functionality in accordance with Flops/Watt.
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Additional resources for Algorithms and Architectures for Parallel Processing: 7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007. Proceedings
Here, A denotes the average accuracy for each scheme and accuracy means the probability of a sensor node being in active mode when a vehicle passes it. Let ñ denotes the one-hop transmission error rate. n is a parameter which denotes the number of sensor nodes on a road. Pw is the wake-up probability. Always-on: in this scheme, since the sensor nodes are turned on at all the time, the accuracy is nearly 100% for every collision scenario described above. Random wake-up: in this scheme, the accuracy equals the wake-up probability: A=Pw Normal wake-up: in this scheme, each sensor node will not be active until it receives a wake-up message from the previous sensor node.
However, traffic loads generated by many real-world parallel applications may exhibit bursty and batch arrival characteristics, which can significantly affect network performance , , . In order to investigate the performance behaviour of multicomputer networks under different design alternatives and working conditions, this paper develops a new and concise analytical model for hypercubic interconnection networks in the presence of bursty traffic with batch arrival process. This model adopts the Compound Poisson Process (CPP) with geometrically distributed batch sizes or, equivalently, Generalised Exponential (GE) distributed inter-arrival time  to capture the properties of the bursty and batch arrival traffic.
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