Network Function Virtualization Aware Offline Embedding Problem Using Squatting-Kicking Strategy for Elastic Optical Networks

Network Function Virtualization (NFV) has recently become one of the most attractive technologies in telecommunication industry due to its ability to realize Network Services (NSs) on general-purpose hardware hence replacing traditional middleboxes. Therefore, NSs can be put on the market, maintained and upgraded more easily and timely which creates a great potential for increasing the usage value of network resources. This paper exploits this paradigm addressing the NFV architecture provisioning the huge computational capacity required in the NS to support the resource allocation strategy proposed for elastic optical networks (EONs) based on resources utilization optimization using a proposed and analyzed squatting-Kicking model (SKM) strategy.

[1]  Filip De Turck,et al.  Network Function Virtualization: State-of-the-Art and Research Challenges , 2015, IEEE Communications Surveys & Tutorials.

[2]  Thomas D. Nadeau,et al.  Problem Statement for Service Function Chaining , 2015, RFC.

[3]  Xavier Hesselbach,et al.  A squatting based framework to enhance network virtualization allocation in optical networks , 2011, 2011 13th International Conference on Transparent Optical Networks.

[4]  Francois Le Faucheur,et al.  Russian Dolls Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering , 2005, RFC.

[5]  Xavier Hesselbach,et al.  Energy Efficient Virtual Network Embedding , 2012, IEEE Communications Letters.

[6]  Imtiaz Ahmad,et al.  Offline routing and spectrum allocation algorithms for elastic optical networks , 2016, Opt. Switch. Netw..

[7]  Joana Socrates Dantas,et al.  Priority realloc : a threefold mechanism for route and resources allocation in EONs , 2015 .

[8]  Krzysztof Walkowiak,et al.  A tabu search algorithm for routing and spectrum allocation in elastic optical networks , 2014, 2014 16th International Conference on Transparent Optical Networks (ICTON).

[9]  Xiaojun Cao,et al.  Transparent virtual network embedding in elastic optical networks , 2016, 2016 IEEE 37th Sarnoff Symposium.

[10]  Karol Molnar,et al.  Evaluation of Bandwidth Constraint Models for MPLS Networks , 2009 .

[11]  Wai Sum Lai,et al.  Maximum Allocation Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering , 2005, RFC.

[12]  András Császár,et al.  Elastic network functions: opportunities and challenges , 2015, IEEE Network.

[13]  Rafael Freitas Reale,et al.  A PRELIMINARY EVALUATION OF BANDWIDTH ALLOCATION MODEL DYNAMIC SWITCHING , 2014 .

[14]  Masahiko Jinno,et al.  Distance-adaptive spectrum resource allocation in spectrum-sliced elastic optical path network [Topics in Optical Communications] , 2010, IEEE Communications Magazine.

[15]  Xian Liu,et al.  QRP02-3: SAM: A New Bandwidth Constraint Model for Diff-Serv-Aware MPLS Networks , 2006, IEEE Globecom 2006.

[16]  Xavier Hesselbach,et al.  Management of resources under priorities in EON using a modified RDM based on the squatting-kicking approach , 2016, 2016 18th International Conference on Transparent Optical Networks (ICTON).

[17]  Thomas Magedanz,et al.  Orchestrating scalable service function chains in a NFV environment , 2017, 2017 IEEE Conference on Network Softwarization (NetSoft).

[18]  Zuqing Zhu,et al.  Spectrum-efficient anycast in elastic optical inter-datacenter networks , 2014, Opt. Switch. Netw..

[19]  Seungjoon Lee,et al.  Network function virtualization: Challenges and opportunities for innovations , 2015, IEEE Communications Magazine.

[20]  Kate Ching-Ju Lin,et al.  Deploying chains of virtual network functions: On the relation between link and server usage , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.