NDLI: A New Robust Heuristic for Assigning Substrate Network Resources to Virtual Networks

Content Provider	IEEE Xplore Digital Library
Author	Kareche, S. Ductor, S. Guessoum, Z. Mezghiche, M.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. Dept., Univ. M'Hamed Bougara Boumerdes, Boumerdes, Algeria (Kareche, S.; Mezghiche, M.) \|\| LIP6, Pierre & Marie Currie Univ., Paris, France (Ductor, S.; Guessoum, Z.)
Abstract	Actually used in the Cloud-Computing concept, network virtualization is a promising way to share distant resources, offer multiple services and architectures to multiple heterogeneous Virtual Networks (VNs) on a common Substrate Network (SN). The main challenge in the VN embedding problem is the efficient mapping of virtual nodes and links to the substrate network resources, avoiding network congestion and responding as well to the desired Service Level Agreement (SLA). Faced with this NP-Hard problem, research focused on designing algorithms, processes, and heuristics which had separate node's allocation and links allocation, where the load balancing on the substrate components is not reached. This paper provides a heuristic solution based on A-Star algorithm. The heuristic relies on constraints of both nodes and links, and aims to maintain a load balancing upon the SN. The solution is gradually built following this heuristic function values with the possibility of back-tracking to explore the maximum of solution components before selecting the suitable allocation. To validate the proposed solution, we carry out several experiments and compare our results with some classical result's works.
Starting Page	47
Ending Page	52
File Size	241611
Page Count	6
File Format	PDF
ISBN	9781479951789
DOI	10.1109/INDS.2014.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-17
Publisher Place	Algeria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Network topology Heuristic algorithms A-star Bandwidth Resource allocation Tin Load management Resource management Virtualization Substrates Heuristic
Content Type	Text
Resource Type	Article

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