No description available.

No description available.

Thesis (M.S.)--Ohio University, March, 1986. / Title from PDF t.p.

by Wong Yiu Chung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1991. / Bibliography: leaves [100]-[101] / Acknowledgement / Abstract / Chapter 1. --- Introduction --- p.1-1 / Chapter 2. --- Alternately-Twisted Cube: Definition & Graph-Theoretic Properties --- p.2-1 / Chapter 2.1. --- Construction --- p.2-1 / Chapter 2.2. --- Topological Properties --- p.2-12 / Chapter 2.2.1. --- "Node Degree, Link Count & Diameter" --- p.2-12 / Chapter 2.2.2. --- Node Symmetry --- p.2-13 / Chapter 2.2.3. --- Sub cube Partitioning --- p.2-18 / Chapter 2.2.4. --- Distinct Paths --- p.2-23 / Chapter 2.2.5. --- Embedding other networks --- p.2-24 / Chapter 2.2.5.1. --- Rings --- p.2-25 / Chapter 2.2.5.2. --- Grids --- p.2-29 / Chapter 2.2.5.3. --- Binary Trees --- p.2-35 / Chapter 2.2.5.4. --- Hypercubes --- p.2-42 / Chapter 2.2.6. --- Summary of Comparison with the Hypercube --- p.2-44 / Chapter 3. --- Network Properties --- p.3-1 / Chapter 3.1. --- Routing Algorithms --- p.3-1 / Chapter 3.2. --- Message Transmission: Static Analysis --- p.3-5 / Chapter 3.3. --- Message Transmission: Dynamic Analysis --- p.3-13 / Chapter 3.4. --- Broadcasting --- p.3-17 / Chapter 4. --- Parallel Processing on the Alternately-Twisted Cube --- p.4-1 / Chapter 4.1. --- Ascend/Descend class algorithms --- p.4-1 / Chapter 4.2. --- Combining class algorithms --- p.4-7 / Chapter 4.3. --- Numerical algorithms --- p.4-8 / Chapter 5. --- "Summary, Comparison & Conclusion" --- p.5-1 / Chapter 5.1. --- Summary --- p.5-1 / Chapter 5.2. --- Comparison with other hypercube-like networks --- p.5-2 / Chapter 5.3. --- Conclusion --- p.5-7 / Chapter 5.4. --- Possible future research --- p.5-7 / Bibliography

Thesis (M.S.)--Ohio University, March, 1982. / Title from PDF t.p.

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 1670168). Also available via the Internet.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1982. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 149-154).

No description available.

Network reliability is the probabilistic measure that determines whether a network remains functional when its elements fail at random. Definition of functionality varies depending on the problem of interest, thus network reliability has much potential as a unifying framework to study a broad range of problems arising in complex network contexts. However, since its introduction in the 1950's, network reliability has remained more of an interesting theoretical construct than a practical tool. In large part, this is due to well-established complexity costs for both its evaluation and approximation, which has led to the classification of network reliability as a NP-Hard problem. In this dissertation we present an algorithm to estimate network reliability and then utilize it to evaluate the reliability of large networks under various descriptions of functionality. The primary goal of this dissertation is to pose network reliability as a general scheme that provides a practical and efficiently computable observable to distinguish different networks. Employing this concept, we are able to demonstrate how local structural changes can impose global consequences. We further use network reliability to assess the most critical network entities which ensure a network's reliability. We investigate each of these aspects of reliability by demonstrating some example applications. / Ph. D.

We present tools for a network topology based characterization of heterogeneity in multiagent systems, thereby providing a framework for the analysis and design of heterogeneous multiagent networks from a network structure view-point. In heterogeneous networks, agents with a diverse set of resources coordinate with each other. Coordination among different agents and the structure of the underlying network topology have significant impacts on the overall behavior and functionality of the system. Using constructs from graph theory, a qualitative as well as a quantitative analysis is performed to examine an inter-relationship between the network topology and the distribution of agents with various capabilities in heterogeneous networks. Our goal is to allow agents maximally exploit heterogeneous resources available within the network through local interactions, thus exploring a promise heterogeneous networks hold to accomplish complicated tasks by leveraging upon the assorted capabilities of agents. For a reliable operations of such systems, the issue of security against intrusions and malicious agents is also addressed. We provide a scheme to secure a network against a sequence of intruder attacks through a set of heterogeneous guards. Moreover, robustness of networked systems against noise corruption and structural changes in the underlying network topology is also examined.