Approved for public release; distribution is unlimited / A study of SONET network management applications and the load they impart to the network is conducted to provide a better understanding of the capability of various management approaches. In this study, a SONET network is set up in the Advanced Networking Laboratory of the Naval Postgraduate School using four Cisco ONS 15454s. Next, two Element Management Systems, the Cisco Transport Controller and the Cisco Transport Manager, are deployed onto the SONET network. Subsequently, the network traffic of the Element Management Systems is captured and analyzed using a packet analyzer. Link utilization of the two tools is computed using the first-order statistics of the captured traffic distributions. In addition, the Hurst parameter is estimated using the variance-index plot technique (which uses higher-orders statistics of the modeled distributions) to determine the captured traffic's degree of self-similarity. Finally, the calculated utilization is extrapolated to obtain the link utilization for 2500 network elements (the maximum number supported by the Cisco Transport Manager). The result obtained is useful in determining the maximum number of network elements (Cisco ONS 15454s) that the Cisco Transport Manager can support from a network loading point of view. / Civilian, Ministry of Defense, Singapore

An evaluation of the performance of a SONET management system was conducted to better understand its management capabilities due to network disruptions in the presence of a traffic load. This study analyzed the Cisco Transport Manager (CTM) which manages a testbed of four Cisco ONS15454 optical systems. The network was injected with HTTP and FTP traffic generated by the Spirent Smartbits system installed with TeraMetrics Gigabit Ethernet modules and load calibration configured by the Spirent Avalanche software. To simulate real-world situations, power disruptions were applied to the network while collecting CTM traffic using Ethereal. Using queuing analysis, the arrival rates and service times were computed for various CTM traffic components and a utilization for 2500 network elements (NE) extrapolated. Self-similarity analysis was performed and the logvariance was plotted to extract the Hurst values. Finally, the results and findings were compared with prior research for loading and no-loading cases. The results of this study are useful in determining the maximum number of network elements manageable in a disruptive environment. Final analysis on the effects of link utilization on the queue size showed that the CTM is able to manage more NEs when the network is disrupted. Unfortunately, managing more NEs increases the queue size even though the utilization was found to be 0.83 for 5450 NEs. Consequently, in order to maintain a moderate queue size, the maximum number of NEs manageable was found to be 2495. This value is close to CISCO's specification of a CTM server managing a maximum of 2500 NEs.

by Feng Gang. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (p. 169-181). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

Thesis (Ph. D.)--University of California, Riverside, 2008. / Includes abstract. Available via ProQuest Digital Dissertations. Title from first page of PDF file (viewed March 10, 2010). Includes bibliographical references (p. 100-112). Also issued in print.

No description available.

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, 2004. / Thesis Advisor(s): John C. McEachen. Includes bibliographical references (p. 51-52). Also available online.

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2005. / Thesis Advisor(s): John C. McEachen. Includes bibliographical references (p. 55-56). Also available online.

Excessive high-frequency jitter or low-frequency wander can create problems within synchronous transmission systems and must be kept within limits to ensure reliable network operation. The emerging Synchronous Optical NETwork (SONET) introduces additional challenges for jitter and wander attenuation equipment (called desynchronizers) when used to carry payloads from the existing Plesiochronous Digital Hierarchy (PDH), such as the DS3. The difficulty is primarily due to the large phase transients resulting from the pointer-based justification technique employed by SONET (called Pointer Justification Events or PJEs). While some previous desynchronization techniques consider the buffer level in their control actions, none has explicitly considered wander generation. Instead, compliance with jitter, wander, and buffer-size constraints have typically been met implicitly--through testing and tuning of the Phase Locked Loop (PLL) controller. We investigated a fuzzy/rule-based solution to this desynchronization/constraint-satisfaction problem. But rather than mapping the input state to an action, as is done in standard fuzzy logic, our controller maps a state and a candidate action to a desired result. In other words, this control paradigm employs prediction to evaluate which of a set of candidate actions would result in the "best" predicted performance. Before the controller could predict an action's affect on buffer and wander levels, appropriate models were required. The model of the buffer is simply the integral of the frequency difference between the input and output of the PLL, and a novel MTIE Constraint Envelope technique was developed to evaluate future wander performance. We show that a predictive knowledge-based controller is capable of achieving the following three objectives: (1) Reduce jitter implicitly by avoiding unnecessary frequency changes such that the jitter limits specified in relevant standards are met, (2) Explicitly satisfy both buffer-level and wander (MTIE) constraints by trading off performance in one to meet the hard limit of the other, (3) When both buffer-level and wander constraints are in danger of violation and cannot be satisfied simultaneously, maintain the preferred constraint by sacrificing the other. We also show that the computation required for this control algorithm is easily within the reach of modern microprocessors.

Thesis (M.C.S.)--Carleton University, 2002. / Includes bibliographical references (p. 151-153). Also available in electronic format on the Internet.

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.