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Editorial for Special issue of FGCS special issue on “Benchmarking big data systems”
University of Taru, Estonia.
University of Sydney, Australia.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2019 (English)In: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 96, p. 32-34Article in journal, Editorial material (Refereed) Published
Abstract [en]

Even though several big data processing and analytics systems have been introduced with various design architectures, we are still lacking a deeper understanding of the performance characteristics for the various design architectures in addition to lacking comprehensive benchmarks for the various Big Data platforms. There is a crucial need to conduct fundamental research with a more comprehensive performance evaluation for the various Big Data processing systems and architectures. We also lack the availability of validation tools, standard benchmarks, and system performance prediction methods that can help us have a deeper and more solid understanding of the strengths and weaknesses of the various Big Data processing platforms. This special issue is dedicated to original results and achievements by active researchers, designers, and developers working on various issues and challenges related to big data research.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 96, p. 32-34
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-72966DOI: 10.1016/j.future.2019.02.001ISI: 000466254600004Scopus ID: 2-s2.0-85061273818OAI: oai:DiVA.org:ltu-72966DiVA, id: diva2:1290639
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-06-12Bibliographically approved

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Vasilakos, Athanasios

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