Process monitoring in the chemical and other process industries has been of great practical importance. Early detection of faults is critical in avoiding product quality deterioration, equipment damage, and personal injury. The goal of this dissertation is to develop process monitoring schemes that can be applied to complex process systems. Neural networks have been a popular tool for modeling and pattern classification for monitoring of process systems. However, due to the prohibitive computational cost caused by high dimensionality and frequently changing operating conditions in batch processes, their applications have been difficult. The first part of this work tackles this problem by employing a polynomial-based data preprocessing step that greatly reduces the dimensionality of the neural network process model. The process measurements and manipulated variables go through a polynomial regression step and the polynomial coefficients, which are usually of far lower dimensionality than the original data, are used to build a neural network model to produce residuals for fault classification. Case studies show a significant reduction in neural model construction time and sometimes better classification results as well. The second part of this research investigates classification trees as a promising approach to fault detection and classification. It is found that the underlying principles of classification trees often result in complicated trees even for rather simple problems, and construction time can excessive for high dimensional problems. Fisher Discriminant Analysis (FDA), which features an optimal linear discrimination between different faults and projects original data on to perpendicular scores, is used as a dimensionality reduction tool. Classification trees use the scores to separate observations into different fault classes. A procedure identifies the order of FDA scores that results in a minimum tree cost as the optimal order. Comparisons to other popular multivariate statistical analysis based methods indicate that the new scheme exhibits better performance on a benchmarking problem.

The Situation Management discipline is intended to address situations happening or that might happen in dynamic systems. In this way, this discipline supports the provisioning of solutions that enable analyzing, correlating, and coordinating interactions among people, information, technologies, and actions targeted to overcome situations. Over recent years, the Situation Management has been employed in diverse domains ranging from disaster response to public health. Notwithstanding, up to now, it has not been used to deal with unexpected, dynamic, and heterogeneous situations that network administrators face in their daily work; in this thesis, these situations are referred to as network management situations. The mashup technology also allows creating solutions, named mashups, aimed to cope with situations. Mashups are composite Web applications built up by end-users through the combination of Web resources available along the Internet. These composite Web applications have been useful to manage situations in several domains ranging from telecommunication services to water floods. In particular, in the network management domain, the mashup technology has been used to accomplish specific tasks, such as botnet detection and the visualization of traffic of the border gateway protocol. In the network management domain, large research efforts have been made to automate and facilitate the management tasks. However, so far, none of these efforts has carried out network management by means of the Situation Management and the mashup technology. Thus, the goal of this thesis is to investigate the feasibility on using the Situation Management and mashups as an effective (in terms of complexity, consuming of time, traffic, and time of response) approach for network management. To achieve the raised goal, this thesis introduces an approach formed by mashments (special mashups devised for coping with network management situations), the Mashment Ecosystem, the process to develop and launch mashments, the Mashment System Architecture, and the Mashment Maker. An extensive analysis of the approach was conducted on networks based on the Software-Defined Networking paradigm and virtual nodes. The results of analysis have provided directions and evidences that corroborate the feasibility of using the Situation Management and mashups as an effective approach for network management.

The Situation Management discipline is intended to address situations happening or that might happen in dynamic systems. In this way, this discipline supports the provisioning of solutions that enable analyzing, correlating, and coordinating interactions among people, information, technologies, and actions targeted to overcome situations. Over recent years, the Situation Management has been employed in diverse domains ranging from disaster response to public health. Notwithstanding, up to now, it has not been used to deal with unexpected, dynamic, and heterogeneous situations that network administrators face in their daily work; in this thesis, these situations are referred to as network management situations. The mashup technology also allows creating solutions, named mashups, aimed to cope with situations. Mashups are composite Web applications built up by end-users through the combination of Web resources available along the Internet. These composite Web applications have been useful to manage situations in several domains ranging from telecommunication services to water floods. In particular, in the network management domain, the mashup technology has been used to accomplish specific tasks, such as botnet detection and the visualization of traffic of the border gateway protocol. In the network management domain, large research efforts have been made to automate and facilitate the management tasks. However, so far, none of these efforts has carried out network management by means of the Situation Management and the mashup technology. Thus, the goal of this thesis is to investigate the feasibility on using the Situation Management and mashups as an effective (in terms of complexity, consuming of time, traffic, and time of response) approach for network management. To achieve the raised goal, this thesis introduces an approach formed by mashments (special mashups devised for coping with network management situations), the Mashment Ecosystem, the process to develop and launch mashments, the Mashment System Architecture, and the Mashment Maker. An extensive analysis of the approach was conducted on networks based on the Software-Defined Networking paradigm and virtual nodes. The results of analysis have provided directions and evidences that corroborate the feasibility of using the Situation Management and mashups as an effective approach for network management.

The Situation Management discipline is intended to address situations happening or that might happen in dynamic systems. In this way, this discipline supports the provisioning of solutions that enable analyzing, correlating, and coordinating interactions among people, information, technologies, and actions targeted to overcome situations. Over recent years, the Situation Management has been employed in diverse domains ranging from disaster response to public health. Notwithstanding, up to now, it has not been used to deal with unexpected, dynamic, and heterogeneous situations that network administrators face in their daily work; in this thesis, these situations are referred to as network management situations. The mashup technology also allows creating solutions, named mashups, aimed to cope with situations. Mashups are composite Web applications built up by end-users through the combination of Web resources available along the Internet. These composite Web applications have been useful to manage situations in several domains ranging from telecommunication services to water floods. In particular, in the network management domain, the mashup technology has been used to accomplish specific tasks, such as botnet detection and the visualization of traffic of the border gateway protocol. In the network management domain, large research efforts have been made to automate and facilitate the management tasks. However, so far, none of these efforts has carried out network management by means of the Situation Management and the mashup technology. Thus, the goal of this thesis is to investigate the feasibility on using the Situation Management and mashups as an effective (in terms of complexity, consuming of time, traffic, and time of response) approach for network management. To achieve the raised goal, this thesis introduces an approach formed by mashments (special mashups devised for coping with network management situations), the Mashment Ecosystem, the process to develop and launch mashments, the Mashment System Architecture, and the Mashment Maker. An extensive analysis of the approach was conducted on networks based on the Software-Defined Networking paradigm and virtual nodes. The results of analysis have provided directions and evidences that corroborate the feasibility of using the Situation Management and mashups as an effective approach for network management.