Paper Info
Title
The Sustainability and Survivabiltiy Network Design for Next Generation Cloud Networking
Abstract
Cloud networking is rapidly growing as a new emerging information platform to deliver services and share resources, which becomes an alternative to conventional computer networking. The cloud computing offers many advanced functionalities, but it still has some challenging problems to be solved such as the energy efficiency and service resilience. Therefore, the critical concerns on network sustainability and survivability should be enhanced in the design of future cloud networking. In this paper, we study both network sustainability and survivability requirements for the design of next generation cloud networking, which is considering both network energy-efficiency and survivability aspects by exploring the potentials among optimal routing and backup resources allocation. We propose three energy efficient and protection routing models to tackle this problem. By introducing the smarter sleeping and shared backup protection techniques, we observe that Energy-Aware Shared Backup Protection with Sleeping Mode has remarkable advantages, and it consumes significantly less capacity but only with a small sacrifice on energy expenditure, especially under the condition of large traffic demands in the network.
Year
DOI
Venue
2011
10.1109/DASC.2011.103
DASC
Keywords
DocType
ISBN
energy expenditure,next generation cloud network,computer networking,network design survivability,shared backup protection,cloud network,optimal routing,network energy-efficiency,survivabiltiy network design,cloud computing and networking,computer networks,energy-efficient routing,green networking,future cloud network,cloud computing,next generation cloud networking,energy aware shared backup protection,survivability aspect,energy efficiency,conventional computer network,network sustainability,network survivability,network design sustainability,resource allocation,switches,mathematical model,computer network,energy efficient,network design
Conference
978-1-4673-0006-3
Citations 
PageRank 
References 
2
0.36
5
Authors
2
Name
Order
Citations
PageRank
Bing Luo120.70
William Liu221.71