Abstract
Software Defined Networking (SDN) provides network engineers with a high-level of abstraction to manage network traffic and control the associated network resources. Unfortunately, the data-plane devices communicate with the controller for every new flow, which adds an extra overhead and causes excessive delays. Such communication relies on the probability called matching probability. In this work, we propose a mathematical model for the SDN flow-setup process with the consideration of all factors that contribute into the matching probability, such as proactive/reactive flow setup modes. Finally, we attempt at deriving the overall system capacity and blocking probability.
Original language | English (US) |
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Title of host publication | IEEE/IFIP Network Operations and Management Symposium |
Subtitle of host publication | Cognitive Management in a Cyber World, NOMS 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-7 |
Number of pages | 7 |
ISBN (Electronic) | 9781538634165 |
DOIs | |
State | Published - Jul 6 2018 |
Event | 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 - Taipei, Taiwan, Province of China Duration: Apr 23 2018 → Apr 27 2018 |
Publication series
Name | IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018 |
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Conference
Conference | 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 04/23/18 → 04/27/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- OpenFlow system capacity
- Performance analysis
- Proactive and reactive flow modes
- Software defined network
ASJC Scopus subject areas
- Information Systems and Management
- Control and Optimization
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications