Title: Bio-inspired service management framework: green data-centres case study

Authors: Raymond Carroll; Sasitharan Balasubramaniam; Junichi Suzuki; Chonho Lee; William Donnelly; Dmitri Botvich

Addresses: The Telecommunications Software & Systems Group (TSSG), Waterford Institute of Technology, Waterford, Ireland ' The Telecommunications Software & Systems Group (TSSG), Waterford Institute of Technology, Waterford, Ireland ' Department of Computer Science, University of Massachusetts, Boston, MA, USA ' School of Computer Engineering, Nanyang Technological University, Singapore ' The Telecommunications Software & Systems Group (TSSG), Waterford Institute of Technology, Waterford, Ireland ' The Telecommunications Software & Systems Group (TSSG), Waterford Institute of Technology, Waterford, Ireland

Abstract: The internet is evolving into a full-scale distributed service platform, offering a plethora of services from communications to business, entertainment, social connectivity and much more. The range of services and applications offered is diversifying, with new applications constantly emerging. For example, utility-based computing (e.g. HPC and cloud computing) which relies heavily on data-centre resources. These services will be more dynamic and sophisticated, providing a range of complex capabilities, which puts further burden on data-centres, in terms of supporting and managing these services. At the same time, society is becoming acutely aware of the significant energy burden the communications industry, and in particular data-centres, are becoming. With these trends in mind we propose a biologically inspired service framework that supports services which can autonomously carry out management functions. We then apply this framework to address the emerging problem of a sustainable future internet by autonomously migrating services to greener locations.

Keywords: bio-inspired services; green data centres; genetic algorithms; service management; sustainability; sustainable development; renewable electricity; renewable energy; green ICT; service-driven migration; simulation.

DOI: 10.1504/IJGUC.2013.057115

International Journal of Grid and Utility Computing, 2013 Vol.4 No.4, pp.278 - 292

Available online: 12 Oct 2013 *

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