DocumentCode
556154
Title
An overlay mapping model for achieving enhanced QoS and resilience performance
Author
Zhang, Xian ; Phillips, Chris ; Chen, Xiuzhong
Author_Institution
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fYear
2011
fDate
5-7 Oct. 2011
Firstpage
1
Lastpage
7
Abstract
In this paper, we investigate the issue of how to map an application request upon a substrate network in such a way that the selected hosting node and link sets can provide not only enhanced Quality-of-Service (QoS) but also resilience against potential substrate link failure(s). Different from previous works which only strive to solve this problem heuristically, this paper formulates it as an Integer Linear Program (ILP). In multi-layer networks, diversity of the working and backup paths is important because a single link failure in the lower layer can result in failures of all the upper-layer links that go through it. Thus, we further strengthen the proposed ILP model by incorporating the objective of finding effective backup paths during the application request mapping process. This is achieved by exploiting the substrate topology information. The effectiveness of the proposed ILP model is verified through extensive simulations. This novel ILP model is proved to perform significantly better in terms of QoS performance as compared to the heuristic solutions. Moreover, the proposed ILP model can provide diversified working and backup paths using few additional substrate nodes.
Keywords
diversity reception; quality of service; diversity; enhanced quality of service; integer linear program; multilayer networks; overlay mapping model; paheuristic solutions; resilience performance; substrate link failure; substrate network; Delay; Network topology; Quality of service; Resilience; Substrates; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 3rd International Congress on
Conference_Location
Budapest
ISSN
2157-0221
Print_ISBN
978-1-4577-0682-0
Type
conf
Filename
6078855
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