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2019 | OriginalPaper | Chapter

Multi-GPU Approach for Development of Parallel and Scalable Pub-Sub System

Authors : Medha A. Shah, Dinesh Kulkarni

Published in: Computing, Communication and Signal Processing

Publisher: Springer Singapore

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Abstract

Event matching plays an important part in the overall attainment of the content-based Publish-Subscribe system. These systems demand guaranteed message delivery, high throughput and low matching time. Existing parallel content matching algorithms make use of multiple cores and off the shelf hardware easily available in today’s modern computers. For a large number of events and subscriptions, these algorithms suffer from performance degradation. In this paper, we propose high-performance Publish-Subscribe system designed to run efficiently on multiple GPUs. Performance comparison with existing CCM (CUDA Content Matching) algorithm clearly demonstrates 32% improvement in matching latency.

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Literature
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Margara, A., Cugola, G.: High performance publish-subscribe matching using parallel hardware. In: IEEE Trans. Parallel Distrib. Syst. 25 (2014)CrossRef
2.
Shah, M.A., Kulkarni, D.B.: Doctoral symposium: design and development of high performance, scalable content based publish subscribe system. In: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems (2016)
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Farroukh, A., Ferzli, E., Tajuddin, N., Jacobsen, H.-A.: Parallel event processing for content-based publish/subscribe systems. In: DEBS vol. 09, pp. 8:1–8:4 (2009)
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Shah, M.A., Kulkarni, D.B.: Design of high performance, scalable content-based publish-subscribe system using MPI-CUDA approach. In: Int. J. Comput. Sci. Eng. (IJCSE) UGC approved (2017). ISSN: 2347–2693 (E)
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Carzaniga, A., Wolf, A.: Forwarding in a content-based network. In: Proceedings of SIG-COMM, pp. 163–174 (2003)
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Carzaniga, A., Rosenblum, D., Wolf, A.: Achieving scalability and expressiveness in an internet-scale event notification service. In: Proceedings of the 19th Annual ACM Symposium, pp. 219–227 (2000)
Metadata
Title
Multi-GPU Approach for Development of Parallel and Scalable Pub-Sub System
Authors
Medha A. Shah
Dinesh Kulkarni
Copyright Year
2019
Publisher
Springer Singapore
Book
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_49