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Auto-Configuration of ACL Policy in Case of Topology Change in Hybrid SDN
- Source :
- IEEE Access, Vol 4, Pp 9437-9450 (2016)
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Software-defined networking (SDN) has emerged as a new network architecture, which decouples both the control and management planes from data plane at forwarding devices. However, SDN deployment is not widely adopted due to the budget constraints of organizations. This is because organizations are always reluctant to invest too much budget to establish a new network infrastructure from scratch. One feasible solution is to deploy a limited number of SDN-enabled devices along with traditional (legacy) network devices in the network of an organization by incrementally replacing traditional network by SDN, which is called hybrid SDN (Hybrid SDN) architecture. Network management and control in Hybrid SDN are vital tasks that require significant effort and resources. Manual handling of these tasks is error prone. Whenever network topology changes, network policies (e.g., access control list) configured at the interfaces of forwarding devices (switches/routers) may be violated. That creates severe security threats for the whole network and degrades the network performance. In this paper, we propose a new approach for Hybrid SDN that auto-detects the interfaces of forwarding devices and network policies that are affected due to change in network topology. In the proposed approach, we model network-wide policy and local policy at forwarding device using a three-tuple and a six-tuple, respectively. We compute graph to represent the topology of the network. By using graph difference technique, we detect a possible change in topology. In the case of topology change, we verify policy for updated topology by traversing tree using six-tuple. If there is any violation in policy implementation, then affected interfaces are indicated and policies that need to be configured are also indicated. Then, policies are configured on the updated topology according to specification in an improved way. Simulation results show that our proposed approach enhances the network efficiency in term of successful packet delivery ratio, the ratio of packets that violated the policy and normalized overhead.
- Subjects :
- Network segmentation
business.product_category
General Computer Science
Computer science
Distributed computing
Logical topology
graph difference
Core network
02 engineering and technology
Topology
Network topology
Network simulation
Network management application
Bus network
0202 electrical engineering, electronic engineering, information engineering
Forwarding plane
General Materials Science
Network performance
policy configuration
Network architecture
Topology change
business.industry
Network packet
General Engineering
Packet forwarding
020206 networking & telecommunications
Network traffic control
Networking hardware
tree
Intelligent computer network
Network management
Network Access Control
Open network architecture
communication switching
020201 artificial intelligence & image processing
Network switch
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Network management station
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....08e5f3fdafa395db950a6d0b041be6d2