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IoTManager: Concerns-based SDN management framework for IoT networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Software Defined Networking (SDN) is an evolving technology in computer networks. One of SDN challenges is the lack of a standard SDN high-level framework, which provides an abstraction to lower levels through an easy to use high level interface without getting involved in difficult and complex programming tasks. Consequently, we propose IoTManager, an SDN concern-based management framework for IoT networks. IoTManager provides high level abstraction in SDN management layer through the separation of network concerns. IoTManager translates a set of input keywords into policies based on network management function and network concerns. Our translator is hybrid; proactive as it inserts OpenFlow rules to switches based on defined policies and reactive where it handles events according to the defined policies. A network scenario simulation via mininet shows our framework’s functionality and the high-level policies the framework can support converting them to low level flow rules. In addition, the performance is measured through calculating the different processing times. Moreover, the proposed abstraction facilitates managing the network through separation of concerns thus dividing the network management problem to less-complex sub-problems. Additionally, it helps closing the semantic gap between the intents of network administrators and the languages in which those intents can be encoded.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Pages153-167
Number of pages15
ISBN (Print)9783030551896
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventIntelligent Systems Conference, IntelliSys 2020 - London, United Kingdom
Duration: Sept 3 2020Sept 4 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1252 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceIntelligent Systems Conference, IntelliSys 2020
Country/TerritoryUnited Kingdom
CityLondon
Period9/3/209/4/20

Keywords

  • IoT
  • Network abstraction
  • Network management
  • Separation of concerns
  • Software Defined Networking

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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