A dissertation submitted in fulfillment of the requirements for the degree of Master of Science in Engineering in the Faculty of Engineering and the Built Environment School of Electrical and Information Engineering August 2017 / Modular web content management systems (WCMS) are widely adopted software plat- forms that facilitate the creation of web applications through a process of con guration and assembly of add-on modules. Although WCMSs have been used in a variety of ap- plication domains (e-commerce, news) no clear guidance as to when it is suitable to use a WCMS could be found. This work proposes a methodology to evaluate the suitability of a WCMS in a particular context. This is done by evaluating the suitability indicators (capability, e ort and ease of implementation) for a given WCMS application. The met- hodology evaluates each indicator per application requirement. Capability is evaluated on a Yes/No basis. E ort is evaluated using e ort level, a relative indicator of e ort. E ort levels are de ned in terms of increasing e ort, varying from 0 (feature present in the product) through to 5 (feature requires a custom module to be written). Ease of implementation is evaluated using a qualitative measure (easy, moderate or di cult) of the implementation di culty. The methodology has been successfully validated through the development and evaluation of a web application for a school within a university faculty. In this instance the WCMS capability was evaluated at 100%, as all require- ments could be implemented. The e ort level analysis showed 16% of requirements were present by default in the core product, 22% required some con guration of the core pro- duct, 32% required a single add-on module to be installed, and 30% required multiple add-on modules to be installed. The ease of implementation analysis showed that 86% of requirements were easy, 7% moderate and 7% di cult. The analysis is presented in order to demonstrate the operation of the methodology. Further data would be nee- ded to extrapolate general trends. With repeated use of the methodology in various contexts, it would be possible to build up a useful reference for those considering the use of a WCMS. In addition, this data would permit analysis of overall strengths and weaknesses of a particular WCMS. / MT2018

Information monitoring systems are publish-subscribe systems that continuously track information changes and notify users (or programs acting on behalf of humans) of relevant updates according to specified thresholds. Internet-scale information monitoring presents a number of new challenges. First, automated change detection is harder when sources are autonomous and updates are performed asynchronously. Second, information source heterogeneity makes the problem of modelling and representing changes harder than ever. Third, efficient and scalable mechanisms are needed to handle a large and growing number of users and thousands or even millions of monitoring triggers fired at multiple sources. In this dissertation, we model users' monitoring requests using continual queries (CQs) and present a suite of efficient and scalable solutions to large scale information monitoring over structured or semi-structured data sources. A CQ is a standing query that monitors information sources for interesting events (triggers) and notifies users when new information changes meet specified thresholds. In this dissertation, we first present the system level facilities for building an Internet-scale continual query system, including the design and development of two operational CQ monitoring systems OpenCQ and WebCQ, the engineering issues involved, and our solutions. We then describe a number of research challenges that are specific to large-scale information monitoring and the techniques developed in the context of OpenCQ and WebCQ to address these challenges. Example issues include how to efficiently process large number of continual queries, what mechanisms are effective for building a scalable distributed trigger system that is capable of handling tens of thousands of triggers firing at hundreds of data sources, how to effectively disseminate fresh information to the right users at the right time. We have developed a suite of techniques to optimize the processing of continual queries, including an effective CQ grouping scheme, an auxiliary data structure to support group-based indexing of CQs, and a differential CQ evaluation algorithm (DRA). The third contribution is the design of an experimental evaluation model and testbed to validate the solutions. We have engaged our evaluation using both measurements on real systems (OpenCQ/WebCQ) and simulation-based approach. To our knowledge, the research documented in this dissertation is to date the first one to present a focused study of research and engineering issues in building large-scale information monitoring systems using continual queries.

The internet is a major communication channel for universities. It makes sense to insure that a Web presence of a university is representative of the university's brand and is consistent throughout all Web sites within the university. This project researches and develops Web design tools that can provice standarized resources to Web designers, specifically for California State University, San Bernardino (CSUSB).