Enactment of adaptation in data stream processing with latency implications—A systematic literature review

Author:

Qin Cui,Eichelberger Holger,Schmid Klaus

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference122 articles.

1. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems;Kleppmann,2017

2. Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing;Chakravarthy,2009

3. Fundamentals of Stream Processing: Application Design, Systems, and Analytics;Andrade,2014

4. Apache Storm. Distributed and fault-tolerant realtime computation, (http://storm.apache.org/), Accessed: 2017-12-20.

5. Apache Spark. Lightning-fast cluster computing, (https://spark.apache.org/), Accessed: 2017-12-20.

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