eprintid: 15026
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/50/26
datestamp: 2023-11-10 03:29:37
lastmod: 2023-11-10 03:29:37
status_changed: 2023-11-10 01:58:26
type: conference_item
metadata_visibility: show
creators_name: Isyaku, B.
creators_name: Abu Bakar, K.B.
creators_name: Yusuf, M.N.
creators_name: Mohd Zahid, M.S.
title: Software defined networking failure recovery with flow table aware and flows classification
ispublished: pub
keywords: Graph theory; Industrial electronics; Information management; Logic gates; Ternary content adressable memory, Backup path selection; Failure recovery; Flow classification; Resource consumption; Round-trip time; Software defined networking (SDN); Ternary content addressable memory; Utilization ratios, Software defined networking
note: cited By 6; Conference of 11th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2021 ; Conference Date: 3 April 2021 Through 4 April 2021; Conference Code:169143
abstract: Software Defined Networking (SDN) emerged to simplify network management and speed up innovation through a clear separation of the control plane from the data plane using OpenFlow standard. Link or switch failure occurs more often. The detect switch has to send a port status message to the controller to update the Flow Table with a new path or switch to a preconfigured backup path to recover from the failure. Most of the existing schemes are focusing on distance or delay in backup path selection. However, traffic flows exhibit variabilities and losses caused by flows also differ with respect to Flow Table utilization. Ternary Content Addressable Memory (TCAM) that stores flow entries in the Flow Table is costly with limited space. It is significant to reduce backup path entries resource consumption through different failure recovery strategies while considering the Flow Table utilization ratio at sampling time, flow classification, and shortest path. This paper devised an algorithm for backup path computation based on the shortest path, flow classification, and Flow Table utilization ratio. The simulation result shows higher throughput of (71.2), lower packet losses (3 ), and round-trip time (3.4 s). © 2021 IEEE.
date: 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107651113&doi=10.1109%2fISCAIE51753.2021.9431786&partnerID=40&md5=c750069478f6fbd8189e79c5c298ac2f
id_number: 10.1109/ISCAIE51753.2021.9431786
full_text_status: none
publication: ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics
pagerange: 337-342
refereed: TRUE
isbn: 9781665403382
citation:   Isyaku, B. and Abu Bakar, K.B. and Yusuf, M.N. and Mohd Zahid, M.S.  (2021) Software defined networking failure recovery with flow table aware and flows classification.  In: UNSPECIFIED.