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

Creator:

Niewiadomska-Szynkiewicz, Ewa ; Karpowicz, Michał P.

Date:

2019, nr 2

Resource Type:

artykuł

Description:

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

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2096

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

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

Object collections:

Last modified:

Feb 21, 2024

In our library since:

Jul 26, 2019

Number of object content hits:

30

All available object's versions:

https://bc.itl.waw.pl/publication/2385

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Edition name Date
Niewiadomska-Szynkiewicz, Ewa, Karpowicz, Michał P., Infrastructure and Energy Conservation in Big Data Computing: A Survey, Journal of Telecommunications and Information Technology, 2019, nr 2 Feb 21, 2024

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