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author:

Guo, Yingya (Guo, Yingya.) [1] (Scholars:郭迎亚) | Luo, Huan (Luo, Huan.) [2] (Scholars:罗欢) | Wang, Zhiliang (Wang, Zhiliang.) [3] | Yin, Xia (Yin, Xia.) [4] | Wu, Jianping (Wu, Jianping.) [5]

Indexed by:

EI SCIE

Abstract:

The emergence of Software Defined Networking (SDN) increases the flexibility of routing and provides an efficient approach to balance network flows. Due to the economical and technical challenges in transiting to a full SDN-enabled network, a hybrid SDN, with a partial deployment of SDN switches in a traditional network, has been a prevailing network architecture. For a hybrid SDN, the routing flexibility is influenced by the expensive and limited Ternary Content Addressable Memory (TCAM) resource, where SDN switches store the flow entries dispatched from SDN controllers. Considering the limited TCAM resource, to reduce the abundant flow entries in TCAM, we propose to impose the constraints on the number of routing paths (i.e., path cardinality constraints) when optimize flows routing. To solve this problem, in this paper, we first formulate the routing optimization problem with the path cardinality constraints in a hybrid SDN as a Mixed Integer Non-Linear Programming (MINLP) problem. Then, we propose an incremental deployment method for obtaining a hybrid SDN and an H-permissible Paths Routing Scheme (HPRS) to effectively route traffic flows under the path cardinality constraints. After that, the theoretic analysis is given to prove that the approximation ratio of HPRS is O(IogL). Finally, through extensive experiments, we demonstrate that our proposed algorithm HPRS can efficiently reduce flow entries and approximates optimal routing under different network topologies.

Keyword:

Incremental deployment Path cardinality Routing optimization Software defined networking

Community:

  • [ 1 ] [Guo, Yingya]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Luo, Huan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Guo, Yingya]Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Peoples R China
  • [ 4 ] [Luo, Huan]Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Peoples R China
  • [ 5 ] [Guo, Yingya]Minist Educ, Key Lab Spatial Data Min Informat Sharing, Fuzhou, Peoples R China
  • [ 6 ] [Luo, Huan]Minist Educ, Key Lab Spatial Data Min Informat Sharing, Fuzhou, Peoples R China
  • [ 7 ] [Wang, Zhiliang]Tsinghua Univ, Inst Network Sci & Cyberspace, Beijing, Peoples R China
  • [ 8 ] [Yin, Xia]Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
  • [ 9 ] [Wu, Jianping]Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China

Reprint 's Address:

  • 罗欢

    [Luo, Huan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China;;[Wang, Zhiliang]Tsinghua Univ, Inst Network Sci & Cyberspace, Beijing, Peoples R China

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Source :

COMPUTER COMMUNICATIONS

ISSN: 0140-3664

Year: 2021

Volume: 165

Page: 112-121

5 . 0 4 7

JCR@2021

4 . 5 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:106

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 8

SCOPUS Cited Count: 15

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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