Survivable IaaS Management with SDN

Fault-tolerance, survivability and resiliency in wide area networks have long been prominent research topics. With the popularity of the cloud service model and the novel software defined networking (SDN) paradigm, there is renewed interest in failure protection and restoration in network service pr...

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Bibliographic Details
Published in:IEEE transactions on cloud computing 2021-10, Vol.9 (4), p.1619-1633
Main Authors: Amarasinghe, Heli, Jarray, Abdallah, Karmouch, Ahmed
Format: Article
Language:English
Subjects:
Algorithms
Bandwidth
Cloud computing
Data centers
Embedded systems
Fault tolerance
Fault tolerant systems
Geographical distribution
Infrastructure
Infrastructure-as-a-service
networked cloud infrastructure
OpenFlow
protection
Provisioning
Reliability engineering
resource allocation
Resource management
Restoration
shared backup
Software defined networking
Substrates
Survivability
survivable virtual network embedding
Telecommunication traffic
Traffic control
Traffic engineering
Virtual networks
Virtualization
Wide area networks
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Summary:Fault-tolerance, survivability and resiliency in wide area networks have long been prominent research topics. With the popularity of the cloud service model and the novel software defined networking (SDN) paradigm, there is renewed interest in failure protection and restoration in network service provisioning. In this work, we propose a novel protection and restoration based virtual network management scheme to enhance fault tolerance in infrastructure-as-a-service, deployed over networked cloud infrastructure. The networked cloud infrastructure is composed of multiple geographically distributed datacenters that are interconnected with SDN. Both compute and network resources are allocated by formulating the virtual network embedding problem as an integer linear program. A shared backup virtual link protection mechanism and a reactive traffic engineering network failure restoration algorithm are proposed and integrated with the framework to provide recovery from unexpected link failures. We implemented the framework on an emulated SDN testbed and evaluated the performances of the algorithms during single and multiple link failures. Experimental results demonstrate trade-offs of the proposed approaches and their applicability in different application scenarios.
ISSN:2168-7161
2168-7161
2372-0018
DOI:10.1109/TCC.2019.2910111