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Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip

Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip

Amit Chaurasia, Vivek Kumar Sehgal
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 10
ISSN: 1947-8534|EISSN: 1947-8542|EISBN13: 9781522512486|DOI: 10.4018/IJMDEM.2017040104
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MLA

Chaurasia, Amit, and Vivek Kumar Sehgal. "Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip." IJMDEM vol.8, no.2 2017: pp.33-42. http://doi.org/10.4018/IJMDEM.2017040104

APA

Chaurasia, A. & Sehgal, V. K. (2017). Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip. International Journal of Multimedia Data Engineering and Management (IJMDEM), 8(2), 33-42. http://doi.org/10.4018/IJMDEM.2017040104

Chicago

Chaurasia, Amit, and Vivek Kumar Sehgal. "Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip," International Journal of Multimedia Data Engineering and Management (IJMDEM) 8, no.2: 33-42. http://doi.org/10.4018/IJMDEM.2017040104

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Abstract

In this paper, we have worked on the bursty synthetic traffic for Gaussian and Non-Gaussian traffic traces on the NoC architecture. This is the first study on the performance of Gaussian and Non-Gaussian application traffic on the multicore architectures. The real-time traffic having the marginal distribution are Non-Gaussian in nature, so any analytical studies or simulations will not be accurate, and does not capture the true characteristics of application traffic. Simulation is performed on synthetic generated traces for Gaussian and Non-Gaussian traffic for different traffic patterns. The performance of the two traffics is validated by simulating the parameters of packet loss-probability, average link-utilization & average end-to-end latency shows that the Non-Gaussian traffic captures the burstiness more effectively as compared to the Gaussian traffic for the desired application.

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