M
Michel Savoie
Researcher at Industry Canada
Publications - 58
Citations - 609
Michel Savoie is an academic researcher from Industry Canada. The author has contributed to research in topics: Network management & Provisioning. The author has an hindex of 11, co-authored 58 publications receiving 596 citations.
Papers
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Proceedings Article
Network virtualization
Jing Wu,Michel Savoie +1 more
TL;DR: Through network virtualization, service brokers can compose usage cases for the created virtual networks, so that end users are able to reconfigure the virtual networks without realtime interventions of administrators.
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Converged Optical Network Infrastructures in Support of Future Internet and Grid Services Using IaaS to Reduce GHG Emissions
TL;DR: It is critical that any future Internet and Grid infrastructure be designed not only to survive, but also be sustained, through an age where no additional GHG emissions will be allowed.
Journal ArticleDOI
UCLPv2: a network virtualization framework built on web services [web services in telecommunications, part II]
TL;DR: User controlled LightPaths version 2 provides a network virtualization framework upon which communities of users can build their own services or applications without dealing with the complexities of the underlying network technologies and still can maintain the functionality that the network provides.
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Powering a Data Center Network via Renewable Energy: A Green Testbed
TL;DR: The GreenStar Network (GSN) testbed is a prototype wide-area network of data centers powered by renewable energy sources and the authors have researched fundamental aspects of green ICT such as virtual infrastructure, unified management of compute, network, power, and climate resources, smart power control, and a carbon assessment protocol.
Journal ArticleDOI
Recovery from control plane failures in the LDP signalling protocol
TL;DR: A backup mechanism to store the LDP state information in an upstream neighbour node to recover what labels are idle before a control plane failure and achieves fast LDP recovery for the core label state information.