Systematic mapping for big data stream processing frameworks
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[1] Maria J Grant,et al. A typology of reviews: an analysis of 14 review types and associated methodologies. , 2009, Health information and libraries journal.
[2] Jin Dong,et al. Big data technologies in support of real time capturing and understanding of electric vehicle customers dynamics , 2014, 2014 IEEE 5th International Conference on Software Engineering and Service Science.
[3] Kai Petersen,et al. Systematic Mapping Studies in Software Engineering , 2008, EASE.
[4] Daniel Mills,et al. MillWheel: Fault-Tolerant Stream Processing at Internet Scale , 2013, Proc. VLDB Endow..
[5] Michael Stonebraker,et al. The 8 requirements of real-time stream processing , 2005, SGMD.
[6] Dmitry Namiot,et al. On Big Data Stream Processing , 2015 .
[7] Ying Xing,et al. Scalable Distributed Stream Processing , 2003, CIDR.
[8] Alain Biem,et al. IBM infosphere streams for scalable, real-time, intelligent transportation services , 2010, SIGMOD Conference.
[9] Xike Xie,et al. Survey of real-time processing systems for big data , 2014, IDEAS.
[10] Ayman Elnaggar,et al. Towards Real-Time Analytics in the Cloud , 2013, 2013 IEEE Ninth World Congress on Services.
[11] Yonggang Wen,et al. Toward Scalable Systems for Big Data Analytics: A Technology Tutorial , 2014, IEEE Access.
[12] Jignesh M. Patel,et al. Twitter Heron: Stream Processing at Scale , 2015, SIGMOD Conference.
[13] Tom White,et al. Hadoop: The Definitive Guide , 2009 .
[14] Xiaohui Yu,et al. Pollux: towards scalable distributed real-time search on microblogs , 2013, EDBT '13.
[15] Telmo da Silva Morais. Survey on Frameworks for Distributed Computing: Hadoop, Spark and Storm , 2015 .
[16] Pavel Zezula,et al. Towards Fast Multimedia Feature Extraction: Hadoop or Storm , 2014, 2014 IEEE International Symposium on Multimedia.