• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Ai, Anjian (Ai, Anjian.) | Qin, Hua (Qin, Hua.) | Lai, Yingxu (Lai, Yingxu.) (Scholars:赖英旭)

Indexed by:

EI Scopus

Abstract:

The ability to fast failover from failures has always been a crucial goal of network reliability in OpenFlow architecture. In this paper, we proposed a Local Reverse Back algorithm and a NCFF fast failover scheme to ensure fast failover from network link failures. Local Reverse Back algorithm selectively reverse traffic back to upstream node to make a comprehensive failover decision and it implements efficient link failure notification without extra detection mechanism. Based on categorizing switches of data plane into a set of types, NCFF establishes an efficient autonomic coordination mechanism between restoration and protection, which achieve a maximal utilization of pre-planned protection paths. To demonstrate the practical performance of the proposed scheme, we have implemented NCFF in our OpenFlow testbed. The numerical results verify that the NCFF enables faster reaction time and high survivability in various topologies.

Keyword:

Safety engineering Industrial engineering Computer science Computers Control engineering Engineering Classification (of information)

Author Community:

  • [ 1 ] [Ai, Anjian]Department of Computer, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Qin, Hua]Department of Computer, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Lai, Yingxu]Department of Computer, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2015

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:514/10580410
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.