Thesis (M.S.)--Missouri University of Science and Technology, 2009. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed August 25, 2009) Includes bibliographical references (p. 71-73).

Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2009. / Title from PDF title page (viewed on Jul. 14, 2010). Includes bibliographical references.

Thesis (M.S.)--The University of North Carolina at Greensboro, 2009. / Directed by Shan Suthaharan; submitted to the Dept. of Computer Science. Title from PDF t.p. (viewed May 11, 2010). Includes bibliographical references (p. 98-99).

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): John C. McEachen. Includes bibliographical references (p. 51-53). Also available online.

Thesis (M.S.)--University of Alabama at Birmingham, 2006. / Description based on contents viewed Jan. 29, 2007; title from title screen. Includes bibliographical references (p. 89-90).

Thesis (Ph. D.)--University of Washington, 2005. / Vita. Includes bibliographical references (p. 93-103).

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007. / Dr. Henry L. Owen III, Committee Member ; Dr. David Keezer, Committee Member ; Dr. D. Scott Wills, Committee Chair.

Zugl.: Berlin, Techn. Universiẗat, Diss., 2008. / 1. Aufl.

Os Pontos de Troca de Tráfego participam de maneira substancial e crítica no ecossistema da Internet, possibilitando conexões entre múltiplos Sistemas Autônomos (ASes, do inglês Autonomous Systems). O gerenciamento das redes de PTT possui como objetivos primários, o gerenciamento dos chamados fluxos elefante (do inglês, elephant flows). Fluxos elefante tendem a existir em número reduzido, porém correspondem à maioria do tráfego em uma infraestrutura de rede. O gerenciamento dos fluxos elefante envolve uma adequada identificação e quando necessário, um redirecionamento destes fluxos para caminhos mais apropriados, de forma a minimizar os possíveis impactos sobre os outros fluxos ativos na rede. Além disso, o gerenciamento de fluxos elefante tornou-se um importante objeto de discussão em PTTs baseados em redes SDN, principalmente porque estas redes dispõem de controladores que possuem uma visão consistente da rede subjacente, o que permite uma gerência destes fluxos de forma refinada. Nesta dissertação, será proposto, desenvolvido e avaliado um sistema de identificação dos fluxos elefante e seus respectivos caminhos de rede, em conjunto com um sistema de recomendação, que possui o objetivo de sugerir configurações alternativas para os fluxos elefante identificados anteriormente nas redes de PTTs baseadas em SDN. Neste sistema, o operador do PTT pode definir templates que em última instância definem como os caminhos dos fluxos elefante serão modificados para atender objetivos específicos. Por fim, será demonstrado que o sistema proposto pode auxiliar o operador do PTT a identificar, gerenciar e mitigar o impacto dos fluxos elefante da rede do PTT. / Internet Exchange Points (IXPs) play a key role in the current Internet architecture enabling cost-effective connections among multiple autonomous systems (ASes). Management of IXP networks is primarily concerned with the management of the so-called elephant flows. Such flows represent a small portion of the total flows of a IXP network but usually have high impact on the overall traffic. Managing elephant flows involves adequate identification and eventually rerouting of such flows to more appropriate locations to minimize the possible negative impact on the other (mice) flows active in the network. Elephant flow management becomes more important in SDN-based IXPs that require controllers to have a consistent view of the underlying network to allow fine-grained adjustment. In this master thesis, we propose, develop, and evaluate an identification system to identify elephant flows and their respectively paths, as well as a recommendation system to suggest alternative configurations to previously identified elephant flows in an SDN-based IXP network. In this solution, the IXP operator can define templates that ultimately define how elephant flows can be reconfigured to achieve a specific objective. We demonstrate that our system can help IXP operators to identify, handle and mitigate the impact of elephant flows in the IXP network.

Renewable energy generation is becoming a major part of energy supply, often in the form of distributed generation (DG) connected to distribution networks. While growth has been rapid, there is awareness that limitations on spare capacity within distribution (and transmission) networks is holding back development. Developments are being shelved until new network reinforcements can be built, which may make some projects non-viable. Reinforcements are costly and often underutilised, typically only loaded to their limits for a few occasions during the year. In order to accommodate new DG without the high costs or delays, active network management (ANM) is being promoted in which generation and other network assets are controlled within the limits of the existing network. There is a great deal of complexity and uncertainty associated with developing ANM and devising coherent plans to accommodate new DG is challenging for Distribution Network Operators (DNOs). As such, there is a need for robust network planning tools that can explicitly handle ANM and which can be trusted and implemented easily. This thesis describes the need for and the development of a new distribution expansion planning framework that provides DNOs with a better understanding of the impacts created by renewable DG and the value of ANM. This revolves around a heuristic planning framework which schedules necessary upgrades in power lines and transformers associated with changes in demand as well as those driven by the connection of DG. Within this framework a form of decentralised, adaptive control of DG output has been introduced to allow estimation of the impact of managing voltage and power flow constraints on the timing and need for network upgrades. The framework is initially deployed using simple scenarios but a further advance is the explicit use of time series to provide substantially improved estimates of the levels of curtailment implied by ANM. In addition, a simplified approach to incorporating demand side management has been deployed to facilitate understanding of the scope and role this may play in facilitating DG connections.