Paper Info
Title
Reducing Energy Consumption For Reconfiguration In Cloud Data Centers
Abstract
Mobile Cloud Computing (MCC) leverages mobile devices and infrastructure equipment to increase services accessibility. It uses increased devices computing capability to enhance services usability and ensure high availability. This growth in performances results in an increased interest for platforms use to accommodate a multitude of applications. To support such an increase in demand, new designs for resource management have to be implemented in order to reach usage optimality. In this work, we propose to design new algorithms to optimise MCC resources management techniques based on stochastic networks optimization. Our approach is focused on energy consumption optimization on the cloud data center side while ensuring resources elasticity to adapt to users' demands and insure a highly available platform. We elected an overclocking technique to enhance servers' capabilities and Lyapunov optimisation to ensure design stability and to minimise the energy cost. We perform extensive simulations under different charge conditions in order to prove the design effectiveness in ensuring the service with lower power consumption. Simulations results confirm the effectiveness of the proposed resources management design.
Year
Venue
Keywords
2016
2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL)
MCC, resource management, energy, elasticity and high availability, Lyapunov optimization
Field
DocType
ISSN
Mobile cloud computing,Resource management,Overclocking,Computer science,Server,Energy consumption,High availability,Data center,Cloud computing,Distributed computing
Conference
2577-2465
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Omar Chakroun1224.72
Soumaya Cherkaoui218740.89