Lam, Chi Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves 113-117). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.vi / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Organization --- p.4 / Chapter 2 --- Related Works and Background --- p.7 / Chapter 2.1 --- Related Works --- p.7 / Chapter 2.2 --- Background --- p.9 / Chapter 2.2.1 --- Datalite --- p.9 / Chapter 2.2.2 --- Proportional Union Method --- p.14 / Chapter 2.2.3 --- Quasi-Likelihood Approach --- p.18 / Chapter 3 --- Estimation Error of Existing TD-based TMA schemes --- p.24 / Chapter 3.1 --- Error Accumulation and Amplification of Existing Schemes --- p.25 / Chapter 3.1.1 --- Pu --- p.25 / Chapter 3.1.2 --- Qmle --- p.26 / Chapter 3.1.3 --- Datalite --- p.26 / Chapter 3.2 --- Estimation Error of 3-sets intersection cases --- p.28 / Chapter 3.2.1 --- Pu --- p.28 / Chapter 3.2.2 --- Datalite --- p.30 / Chapter 4 --- Error Reduction Via Traffic Digest Splitting --- p.36 / Chapter 4.1 --- Motivation --- p.36 / Chapter 4.2 --- Objective Functions for Optimal TD-splitting --- p.39 / Chapter 4.3 --- Problem Formulation of Threshold-based Splitting --- p.41 / Chapter 4.3.1 --- Minimizing Maximum Estimation Error --- p.42 / Chapter 4.3.2 --- Minimizing R.M.S. Estimation Error --- p.46 / Chapter 4.4 --- Analysis of Estimation Error Reduction Via Single-Level TD-splitting --- p.48 / Chapter 4.4.1 --- Noise-to-signal Ratio Reduction --- p.49 / Chapter 4.4.2 --- Estimation Error Reduction --- p.52 / Chapter 4.5 --- Recursive Splitting --- p.56 / Chapter 4.5.1 --- Minimizing Maximum Estimation Error --- p.57 / Chapter 4.5.2 --- Minimizing R.M.S. Estimation Error --- p.59 / Chapter 5 --- Realization of TD-splitting for Network Traffic Measurement --- p.61 / Chapter 5.1 --- Tracking Sub-TD Membership --- p.64 / Chapter 5.1.1 --- Controlling the Noise due to Non-Existent Flows on a Target Link --- p.64 / Chapter 5.1.2 --- Sub-TD Membership Tracking for Single-level TD-splitting --- p.65 / Chapter 5.1.3 --- Sub-TD Membership Tracking under Recursive Splitting --- p.66 / Chapter 5.2 --- Overall Operations to support TD-splitting for Network-wide Traffic Measurements --- p.67 / Chapter 5.2.1 --- Computation Time for TD-splitting --- p.69 / Chapter 6 --- Performance Evaluation --- p.72 / Chapter 6.1 --- Applying TD-splitting on Generic Network Topology --- p.72 / Chapter 6.1.1 --- Simulation Settings --- p.73 / Chapter 6.1.2 --- Validity of the Proposed Surrogate Objective Functions --- p.75 / Chapter 6.1.3 --- Performance of Single-level TD-splitting --- p.77 / Chapter 6.1.4 --- Performance of Recursive TD-splitting --- p.88 / Chapter 6.1.5 --- Heterogeneous NSR Loading --- p.95 / Chapter 6.2 --- Internet Trace Evaluation --- p.99 / Chapter 6.2.1 --- Simulation Results --- p.100 / Chapter 7 --- Conclusion --- p.105 / Chapter A --- Extension of QMLE for Cardinality Estimation of 3-sets Intersection --- p.107 / Bibliography --- p.113

Shi, Xingang. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 135-152). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

Chen, Liang. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (p. 87-91). / Abstract also in Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Problem --- p.1 / Chapter 1.2 --- Motivation --- p.3 / Chapter 1.3 --- Thesis Contribution and Organization --- p.5 / Chapter 2 --- Background Study --- p.9 / Chapter 2.1 --- TFRC --- p.9 / Chapter 2.2 --- Related Work --- p.11 / Chapter 3 --- Network Modeling --- p.15 / Chapter 3.1 --- Network Utility Maximization Framework --- p.15 / Chapter 3.1.1 --- Primal Algorithm --- p.16 / Chapter 3.1.2 --- Dual Algorithm --- p.17 / Chapter 3.2 --- Overview of TCP Reno Modeling --- p.18 / Chapter 3.3 --- Modeling TFRC --- p.19 / Chapter 3.3.1 --- TFRC Model I --- p.20 / Chapter 3.3.2 --- TFRC Model II --- p.21 / Chapter 3.4 --- Modeling Coexistence Case --- p.23 / Chapter 4 --- Stability Analysis --- p.27 / Chapter 4.1 --- TFRC Network --- p.27 / Chapter 4.1.1 --- Global Stability --- p.28 / Chapter 4.1.2 --- Rate of Convergence --- p.32 / Chapter 4.1.3 --- Rate-adaptation Comparison --- p.36 / Chapter 4.2 --- TCP Reno and TFRC Coexistence Network --- p.40 / Chapter 4.2.1 --- Existence and Uniqueness of Equilibrium --- p.40 / Chapter 4.2.2 --- Stability Analysis of the Coexistence Case --- p.41 / Chapter 5 --- Delay Analysis --- p.45 / Chapter 5.1 --- TFRC Network Model I --- p.46 / Chapter 5.2 --- TFRC Network Model II --- p.51 / Chapter 5.3 --- Robustness Comparison of TCP and TFRC --- p.55 / Chapter 6 --- Simulation Results --- p.61 / Chapter 6.1 --- Matlab Simulations --- p.61 / Chapter 6.1.1 --- Smoothed Effects and Rate Convergence --- p.61 / Chapter 6.1.2 --- Rate-adaptation Comparison of Two Models --- p.64 / Chapter 6.1.3 --- Delay Instability --- p.65 / Chapter 6.2 --- NS2 Simulations --- p.69 / Chapter 6.2.1 --- Traffic Smoothness and Jitter Property --- p.70 / Chapter 6.2.2 --- Necessity of Adaptive Scheme --- p.73 / Chapter 7 --- Conclusion --- p.77 / Chapter A --- Appendix --- p.81 / Chapter A.l --- Delay Analysis for the Single Link Case of TFRC I --- p.81 / Chapter A.2 --- Delay Analysis for the Single Link Case of TFRC II --- p.84 / Bibliography --- p.87

The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications. This thesis introduces three novel web applications with an aim to offer traffic operators, managers, and analysts’ possibility to monitor the congestion, and analyze incidents and signal performance measures. They offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these visualization tools is more efficient estimation of the performance of local networks, thus facilitating the decision making process in case of emergency events. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2015 / FAU Electronic Theses and Dissertations Collection