Thesis
Inter-domain QOS routing for gridstat
Washington State University
Master of Science (MS), Washington State University
2013
Handle:
https://hdl.handle.net/2376/101016
Abstract
GridStat, which provides data delivery service with end-to-end Quality of Service (QoS) guarantee, is a status dissemination middle-ware framework for power grid infrastructure. It consists of a management plane and a data plane. The management plane maintains and controls the network state while the data plane delivers data. The current routing framework forms a hierarchical tree structure in the management plane. The centralized architecture performs well in the case where subscriptions are mainly confined to lower levels of the management hierarchy. However, as the inter-domain paths computations must rely on the full network topology, the architecture obviously does not scale well. It also suffers from single-node failure. If a broker crashes, all its children brokers fail to establish the interdomain paths. Based on these observations, a peer-to-peer (P2P) management plane inter-domain routing framework is presented. The framework is composed of two protocols: path vector protocol and path establishment protocol. Path vector protocol is used for routing information exchange in the management plane, while path establishment protocol facilitates inter-domain disjoint paths computation. With the P2P framework, it allows both flexible topological design and new capability of fault tolerance in the management plane, as well as enabling the computation of the inter-domain disjoint paths in a distributed fashion
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Details
- Title
- Inter-domain QOS routing for gridstat
- Creators
- Qing Chang
- Contributors
- Carl H. Hauser (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525028901842
- Language
- English
- Resource Type
- Thesis