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Resource allocation in multi-domain wireless software-defined networks

Authors
  • Chen, Lunde
Publication Date
Apr 29, 2019
Source
HAL-INRIA
Keywords
Language
English
License
Unknown
External links

Abstract

The movement towards the digitalization of many industry sectors such as automotive, agriculture, transportation, city management, etc. is revealing the need for novel usages of point-to-multipoint network delivery services, such as massive delivery of software updates to objects, secure and reliable delivery of alert messages to population, etc. On another side, the softwarization of next generation networks, with amongst, the increasing adoption of Software Defined Networks (SDN) is bringing to the network the flexibility and programming capabilities that enable the support of point-to-multipoint delivery services in an efficient and cost-effective way. This PhD work contributes to the general problem of providing point-tomultipoint delivery services with Quality of Service (QoS) requirements in a multidomain SDN network. It also considers that some of the domains are wireless multi hop networks. First, a Steiner tree based network domain topology aggregation combined with a resource allocation heuristic algorithm is proposed to support point-to-multipoint delivery services that span multiple domains. Then, a generic topology discovery service is proposed for SDN based wireless multi-hop networks to let the SDN controller build and maintain a comprehensive view of the network with various node and wireless link attributes. From there, customized views can be exposed by the controller to network control applications, as, for instance, the application in charge of provisioning point-to-multipoint services on a SDN based wireless multi-hop network. An Integer linear programming based algorithm and a genetic algorithm are also proposed for the embedding of point-to-multipoint services on a SDN based multi-radio, multi-channel and multi-hop wireless network. Last, to address the case of dynamic point-to-multipoint services, we propose a resource reallocation scheme that meets the changing requirements while reducing service disruption.

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