Issue No. 01 - January-June (2013 vol. 1)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCC.2013.4
Joseph Doyle , CTVR Res. Centre, Trinity Coll. Dublin, Dublin, Ireland
Robert Shorten , IBM Res. Ireland, Dublin, Ireland
Donal O'Mahony , CTVR Res. Centre, Trinity Coll. Dublin, Dublin, Ireland
Large public cloud infrastructure can utilise power which is generated by a multiplicity of power plants. The cost of electricity will vary among the power plants and each will emit different amounts of carbon for a given amount of energy generated. This infrastructure services traffic that can come from anywhere on the planet. It is desirable, for latency purposes, to route the traffic to the data centre that is closest in terms of geographical distance, costs the least to power and emits the smallest amount of carbon for a given request. It is not always possible to achieve all of these goals so we model both the networking and computational components of the infrastructure as a graph and propose the Stratus system which utilises Voronoi partitions to determine which data centre requests should be routed to based on the relative priorities of the cloud operator.
Load management, Power distribution, Industrial plants, Power generation, Power system economics, Electricity supply industry, Cloud computing,Network management, Load management, Power distribution, Industrial plants, Power generation, Power system economics, Electricity supply industry, Network operating systems
Joseph Doyle, Robert Shorten, Donal O'Mahony, "Stratus: Load Balancing the Cloud for Carbon Emissions Control", IEEE Transactions on Cloud Computing, vol. 1, no. , pp. 1, January-June 2013, doi:10.1109/TCC.2013.4