DocumentCode
1789293
Title
Joint defragmentation of spectrum and computing resources in inter-datacenter networks over elastic optical infrastructure
Author
Xiahe Liu ; Liang Zhang ; Mingyang Zhang ; Zuqing Zhu
Author_Institution
Sch. of Inf. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2014
fDate
10-14 June 2014
Firstpage
3289
Lastpage
3294
Abstract
In this paper, we consider to apply a joint defrag-mentation (DF) of spectrum and computing resources in the inter-datacenter (inter-DC) networks built over elastic optical infrastructure based on the optical orthogonal frequency-division multiplexing (O-OFDM) technology. We propose joint DF algorithms that consist of a request selection strategy to select active requests for reconfiguring and an anycast-based DF routing and spectrum assignment (DF-RSA) to reconfigure the selected requests. For the joint DF, two request selection strategies and three anycast-based DF-RSA schemes are designed, and their combinations are evaluated with simulations. The simulation results show that by considering the usages of spectrum and computing resources jointly, the proposed algorithms can improve the blocking performance of the inter-DC network significantly with controlled numbers of DF operations.
Keywords
computer centres; internetworking; DF-RSA scheme; O-OFDM technology; anycast-based DF routing; computing resources; elastic optical infrastructure; inter-DC networks; inter-datacenter networks; joint DF algorithms; optical orthogonal frequency-division multiplexing; request selection strategies; spectrum assignment; spectrum defragmentation; Bandwidth; Integrated optics; Joints; Network topology; Optical fiber networks; Resource management; Topology; Anycast; Elastic optical networks (EONs); Inter-datacenter networks; Resource defragmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2014 IEEE International Conference on
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/ICC.2014.6883828
Filename
6883828
Link To Document