Tytuł:

Infrastructure and Energy Conservation in Big Data Computing: A Survey, Journal of Telecommunications and Information Technology, 2019, nr 2

Autor:

Niewiadomska-Szynkiewicz, Ewa ; Karpowicz, Michał P.

Temat i słowa kluczowe:

HPC ; energy-efficient computation ; grid ; cluster ; cloud ; software platform ; Big Data

Opis:

Progress in life, physical sciences and technology depends on efficient data-mining and modern computing technologies. The rapid growth of data-intensive domains requires a continuous development of new solutions for network infrastructure, servers and storage in order to address Big Datarelated problems. Development of software frameworks, include smart calculation, communication management, data decomposition and allocation algorithms is clearly one of the major technological challenges we are faced with. Reduction in energy consumption is another challenge arising in connection with the development of efficient HPC infrastructures. This paper addresses the vital problem of energy-efficient high performance distributed and parallel computing. An overview of recent technologies for Big Data processing is presented. The attention is focused on the most popular middleware and software platforms. Various energy-saving approaches are presented and discussed as well

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Data wydania:

2019, nr 2

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności