DocumentCode :
1767677
Title :
A relocation-based heuristic for restoring optical cloud services
Author :
Natalino, Carlos ; Ahmed, J. ; Monti, Paolo ; Wosinska, Lena ; Frances, Renato
Author_Institution :
Fed. Univ. of Para, Belem, Brazil
fYear :
2014
fDate :
9-10 Nov. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Optical clouds allow for an integrated management of optical transport and cloud resources (e.g., storage and computing resources running on datacenters). In this paradigm the concept of service relocation (i.e., the ability to re-allocate to a different datacenter node an already provisioned cloud service) offers a new way to restore the network upon failure. This paper presents a heuristic (called H_RELOCATION) based on the service relocation concept to be used for the dynamic restoration of optical cloud services. Upon the occurrence of a network failure, H_RELOCATION solves the routing and resource (i.e., transport plus cloud) allocation problem for each disrupted cloud service allowing, if necessary, to relocate some cloud services to different datacenter nodes. The proposed strategy is benchmarked against two optimal restoration strategies based on Integer Linear Programming (ILP) formulations, the first one without and the second one with the ability to use the service relocation idea. Simulation results show that H_RELOCATION offers performance (i.e., blocking probability, restorability levels and number of required relocations) very close to the optimum, offering on the other hand, a significant reduction in the processing time required for each successfully restored cloud service.
Keywords :
cloud computing; computer centres; computer network management; computer network reliability; fault tolerant computing; integer programming; linear programming; optical fibre networks; resource allocation; H_RELOCATION; blocking probability; datacenter node relocation; dynamic optical cloud service restoration; integer linear programming formulations; network failure occurrence; number-of-required relocations; optical cloud resource management; optical transport resource management; relocation-based heuristic; restorability levels; service relocation concept; Availability; Benchmark testing; High-speed optical techniques; Integrated optics; Optical fiber networks; Simulation; Optical transport networks; anycast; datacenters; optical clouds; restoration; service relocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Communications and Networks (ICOCN), 2014 13th International Conference on
Conference_Location :
Suzhou
Type :
conf
DOI :
10.1109/ICOCN.2014.6987081
Filename :
6987081
Link To Document :
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