Massachusetts Institute of Technology
A publish-subscribe implementation of network management
Abstract
dc:description.abstractAs modern networks become highly integrated, heterogeneous, and experience exponential growth, the task of network management becomes increasingly unmanageable for network administrators and designers. The Knowledge Plane (KP) is designed to support a self-managing network, given the organizational constraints of network management, as well as to create synergy and exploit commonality among network applications. In this thesis, to build an Information Plane that is suitable to the requirements of the KP, we propose a publish/subscribe system that provides a clear and systematic framework for resolving tussles in the network. To evaluate the eectiveness of this design, we configured a network of PlanetLab nodes and conducted experiments involving a variety of le sizes and source-destination pairs. The results suggest that the system's performance is not only comparable to existing le transfer services, but that the system also introduces several performance gains that are unattainable with current network architectures.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Simosa, Jorge D. (Jorge David)
- Advisor dc:contributor.advisor
-
- Karen R. Sollins.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/85226
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/85226