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Exploiting Window Query Semantics in Scalable Data Stream Processing

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영어

Recently, we have witnessed the emergence of new data stream management systems that can scale up to a large number of machines for the real-time processing of big data. These systems typically provide a procedural programming interface with their own APIs. However, to enable the rapid development of applications, it is desirable to support a declarative interface with clear processing semantics, such as window SQL. This paper examines the programming interfaces of the state-of-the-art data stream management systems and discusses the necessity of SQL support to help users write stream queries easily and in an integrated manner.

목차

Abstract
 1. Introduction
 2. Programming Interfaces of Scalable DSMSs
  2.1. Yahoo!’s S4
  2.2. Twitter’s Storm
  2.3. Google’s MillWheel
  2.4. MS’s StreamInsight
 3. Window SQL Support
 4. Conclusion and Future Work
 References

저자정보

  • Hyeon Gyu Kim Department of Computer Engineering, Sahmyook University, Seoul 139-742, Republic of Korea

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