Utilization of Dynamic Attributes in Resource Discovery for Network Virtualization

FieldValue
dc.contributor.authorAmarasinghe, Heli
dc.date.accessioned2012-07-16T14:09:18Z
dc.date.available2012-07-16T14:09:18Z
dc.date.created2012
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10393/23065
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-5869
dc.description.abstractThe success of the internet over last few decades has mainly depended on various infrastructure technologies to run distributed applications. Due to diversification and multi-provider nature of the internet, radical architectural improvements which require mutual agreement between infrastructure providers have become highly impractical. This escalating resistance towards the further growth has created a rising demand for new approaches to address this challenge. Network virtualization is regarded as a prominent solution to surmount these limitations. It decouples the conventional Internet service provider’s role into infrastructure provider (InP) and service provider (SP) and introduce a third player known as virtual network Provider (VNP) which creates virtual networks (VNs). Resource discovery aims to assist the VNP in selecting the best InP that has the best matching resources for a particular VN request. In the current literature, resource discovery focuses mainly on static attributes of network resources highlighting the fact that utilization on dynamic attributes imposes significant overhead on the network itself. In this thesis we propose a resource discovery approach that is capable of utilizing the dynamic resource attributes to enhance the resource discovery and increase the overall efficiency of VN creation. We realize that recourse discovery techniques should be fast and cost efficient, enough to not to impose any significant load. Hence our proposed scheme calculates aggregation values of the dynamic attributes of the substrate resources. By comparing aggregation values to VN requirements, a set of potential InPs is selected. The potential InPs satisfy basic VN embedding requirements. Moreover, we propose further enhancements to the dynamic attribute monitoring process using a vector based aggregation approach.
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectvirtual networks
dc.subjectvirtualization
dc.subjectnetwork monitoring
dc.subjectresource discovery
dc.subjectaggregation
dc.subjectdynamic attributes
dc.titleUtilization of Dynamic Attributes in Resource Discovery for Network Virtualization
dc.typeThesis
dc.faculty.departmentScience informatique et génie électrique / Electrical Engineering and Computer Science
dc.contributor.supervisorKarmouch, Ahmed
dc.embargo.termsimmediate
dc.degree.nameMASc
dc.degree.levelmasters
dc.degree.disciplineGénie / Engineering
thesis.degree.nameMASc
thesis.degree.levelMasters
thesis.degree.disciplineGénie / Engineering
uottawa.departmentScience informatique et génie électrique / Electrical Engineering and Computer Science
CollectionThèses, 2011 - // Theses, 2011 -

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