- Tytuł:
- Infrastructure and Energy Conservation in Big Data Computing: A Survey
- Autorzy:
-
Niewiadomska-Szynkiewicz, Ewa
Karpowicz, Michał P. - Powiązania:
- https://bibliotekanauki.pl/articles/307930.pdf
- Data publikacji:
- 2019
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
Big Data
cloud
cluster
energy-efficient computation
grid
HPC
software platform - 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.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2019, 2; 73-82
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł