DocumentCode :
3400601
Title :
Energy Aware Networked Cloud Mapping
Author :
Leivadeas, A. ; Papagianni, C. ; Papavassiliou, S.
Author_Institution :
Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
fYear :
2013
fDate :
22-24 Aug. 2013
Firstpage :
195
Lastpage :
202
Abstract :
Cloud computing has emerged as the computing paradigm that enables the delivery of utility-based IT services to users. The hyper-growth of Cloud computing has led to increased power consumption with significant consequences both in terms of environmental and operational costs. Hence, over the last years, attention has been drawn to optimizing energy consumption at the data center, aimed at the reduction of carbon footprints. However the world of Cloud Computing is constantly developing, with new concepts introduced while additional challenges arise. In this paper, a method for energy efficient resource allocation is proposed, in the context of a networked cloud environment. The method employs dynamic server consolidation by periodic VM migration. The approach is validated conducting performance evaluation via simulation, while it is compared against energy aware / non energy aware methods, using a set of both power indication and resource allocation metrics.
Keywords :
cloud computing; computer centres; environmental factors; power aware computing; power consumption; resource allocation; telecommunication power management; virtual machines; carbon footprint reduction; computing paradigm; data center; dynamic server consolidation; energy aware networked cloud mapping; energy consumption optimization; energy efficient resource allocation; environmental costs; networked cloud environment; operational costs; performance evaluation; periodic VM migration; power consumption; power indication; resource allocation metrics; utility-based IT services; Bandwidth; Energy consumption; Power demand; Resource management; Servers; Substrates; Topology; Cloud; Dynamic Server Consolidation; Energy Awareness; Migration; Network Virtualization; Resource Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications (NCA), 2013 12th IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-5043-5
Type :
conf
DOI :
10.1109/NCA.2013.25
Filename :
6623663
Link To Document :
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