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A Taxonomy and Survey of Stream Processing Systems

Zhao, X, Garg, SK ORCID: 0000-0003-3510-2464, Queiroz, C and Buyya, R 2017 , 'A Taxonomy and Survey of Stream Processing Systems', in I Mistrik and R Bahsoon and N Ali and M Heisel and B Maxim (eds.), Software Architecture for Big Data and the Cloud , Morgan Kaufmann, Burlington, United States, pp. 177-200.

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In the era of big data, an unprecedented amount of data is generated every second. The real time analytics has become a force for transforming organizations which are looking for increasing their consumer base and profit. Therefore, the real time stream processing systems have gained a lot of attention, particularly within social media companies such as Twitter and LinkedIn. To identify the open challenges in the area of stream processing and facilitate future advancements, it is essential to synthesize and categorize current stream processing systems. In this chapter,we propose a taxonomy that characterizes and classifies various stream systems. Based on the taxonomy we present a survey and comparison study of the state-of-the-art open source stream computing platforms. The taxonomy and survey is intended to help researchers by providing insights into capabilities of existing stream platforms and businesses by providing criteria that can be leveraged to identify the most suitable stream processing solution that can be adopted for developing their domain-specific applications.

Item Type: Book Section
Authors/Creators:Zhao, X and Garg, SK and Queiroz, C and Buyya, R
Keywords: cloud computing, stream computing
Publisher: Morgan Kaufmann
DOI / ID Number: 10.1016/B978-0-12-805467-3.00011-9
Copyright Information:

Copyright 2017 Elsevier Inc.

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