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Title: Energy Efficient Scheduling Methods for Computational Grids and Clouds, Journal of Telecommunications and Information Technology, 2017, nr 1

Creator:

Kołodziej, Joanna ; Grzonka, Daniel ; Jakóbik, Agnieszka ; Chris, Adriana E. ; González-Vélez, Horacio

Date:

2017, nr 1

Resource Type:

artykuł

Description:

This paper presents an overview of techniques developed to improve energy efficiency of grid and cloud computing. Power consumption models and energy usage proles are presented together with energy efficiency measuring methods. Modeling of computing dynamics is discussed from the viewpoint of system identication theory, indicating basic experiment design problems and challenges. Novel approaches to cluster and network-wide energy usage optimization are surveyed, including multi-level power and software control systems, energy-aware task scheduling, resource allocation algorithms and frameworks for backbone networks management. Software-development techniques and tools are also presented as a new promising way to reduce power consumption at the computing node level. Finally, energy-aware control mechanisms are presented. In addition, this paper introduces the example of batch scheduler based on ETC matrix approach.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1969

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

resource allocation cloud computing batch scheduling power consumption energy efficient grids

Object collections:

Last modified:

May 12, 2017

In our library since:

May 12, 2017

Number of object content hits:

146

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2246

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Edition name Date
Jakóbik, Agnieszka; Grzonka, Daniel; Kołodziej, Joanna; Chris, Adriana E.; González-Vélez, Horacio, Energy Efficient Scheduling Methods for Computational Grids and Clouds, Journal of Telecommunications and Information Technology, 2017, nr 1 May 12, 2017

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