Authors: Krishna Chaitanya Nunna; Farhad Mehdipour; Antoine Trouvé; Kazuaki J. Murakami
Addresses: Department of Advanced Informatics, Kyushu University, Fukuoka, Japan ' E-JUST Centre, Kyushu University, Fukuoka, Japan ' Department of Advanced Informatics, Kyushu University, Fukuoka, Japan ' Department of Advanced Informatics, Kyushu University, Fukuoka, Japan
Abstract: In today's commercial world, information is becoming a major economic resource thus leading to a statement - information is wealth. It is a technical challenge for computer systems in managing and analysing the large volumes of data coming from a variety of resources continuously over a period. Experts are in a mood of moving towards alternative hardware platforms for achieving high-speed data processing and analysis especially for streaming applications. In this paper: a) existing trends in big data processing and the necessary systems involved are studied by performing a survey on available platforms; b) recommended features and suitable hardware systems are proposed based on the operations involved in the processing. Investigation shows that, in combination with CPU and along with GPU, FPGA is a possible alternative. It can be a part of the heterogeneous platform featuring parallelism, pipelining and high performance for the operations involved in big data processing.
Keywords: big data processing; data analytics infrastructure; 3D multi-FPGA systems; FPGA; field-programmable gate arrays; parallelism; pipelining; high performance.
International Journal of Big Data Intelligence, 2015 Vol.2 No.3, pp.145 - 156
Available online: 11 Jul 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article