Modelling of staged routing for reduced carbon footprints of large server clusters
Article
Article Title | Modelling of staged routing for reduced carbon footprints of large server clusters |
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ERA Journal ID | 36601 |
Article Category | Article |
Authors | |
Author | Kist, Alexander A. |
Journal Title | International Journal of Communication Networks and Distributed Systems |
Journal Citation | 6 (1), pp. 28-44 |
Number of Pages | 17 |
Year | 2011 |
Place of Publication | United Kingdom |
ISSN | 1754-3916 |
1754-3924 | |
Digital Object Identifier (DOI) | https://doi.org/10.1504/IJCNDS.2011.037326 |
Web Address (URL) | http://www.inderscience.com/browse/index.php?journalID=261&year=2011&vol=6&issue=1 |
Abstract | Online services that rely on large scale server systems have become major energy users. These systems are generally dimensioned for peak loads and therefore have very low average utilisation, often around 20-30%. This paper presents a mathematical performance analysis of a simple routing mechanism that uses staged overflow routing to assign requests to servers. The technique relies on a router, in conjunction with a server daemon. Idle servers are suspended; and suspended systems are returned to an active state by the Wake-on-LAN function. The number of active servers is proportional to the overall system utilisation and leads to a load proportional carbon footprint. Performance models are developed and used to analyse the proposed mechanism. A potential system design is briefly discussed. It is concluded that substantial power savings are possible using overflow routing; however, there is also significant effects on user performance as a result of the higher server utilisation. |
Keywords | carbon footprint; energy efficient computing; load proportional power consumption; performance modelling; energy efficiency; energy consumption; overflow routing |
ANZSRC Field of Research 2020 | 400604. Network engineering |
460599. Data management and data science not elsewhere classified | |
400805. Electrical energy transmission, networks and systems | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Computational Engineering and Science Research Centre |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q07q2/modelling-of-staged-routing-for-reduced-carbon-footprints-of-large-server-clusters
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