2,987 research outputs found

    Investigating Advances in the Acquisition of Secure Systems Based on Open Architecture, Open Source Software, and Software Product Lines

    Get PDF
    Naval Postgraduate School Acquisition Research Progra

    Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

    Full text link
    Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

    SIMDAT

    No full text

    Digital Six Sigma® Concepts in Expert Systems Development ofWeb-Based User Configurable Numerical Data Acquisition Module for MOTOROLA Penang EMAS

    Get PDF
    This Final Report on Final Year Project of Digital Six Sigma Concepts in Expert Systems describes from backgrounds, problem statements, objectives, methodologies, results until the conclusions of the Final Year Project which covers bothpart I andpart II. The scopesofresearch in this project focus exclusively on Six Sigma initiatives and how it could be realized efficiently and with enhancement using Information Technology tools and capabilities. In this project there were two developments been identified as the main objectives. They were the development of a Numerical Data Acquisition Module and a model of Motorola Penang Electronic Measurements & Action tracking System (EMAS). The Numerical Data Acquisition Module was meant to be integrated with current MOTOROLA Penang implemented system. The developed Numerical Data Acquisition module and also the model of Motorola Penang EMAS were tested, analysis were done to produce results for discussion. Some analysis of the results was based on surveys during visits to plants adopting Six Sigma® and literature reviews conducted throughout the project. The research methodologies in this report explained in detail the procedures and tools used along the progress of the project. In the last chapter, future recommendations were suggested for future enhancements and expansions ofthe project

    Distributed Technology-Sustained Pervasive Applications

    Full text link
    Technology-sustained pervasive games, contrary to technology-supported pervasive games, can be understood as computer games interfacing with the physical world. Pervasive games are known to make use of 'non-standard input devices' and with the rise of the Internet of Things (IoT), pervasive applications can be expected to move beyond games. This dissertation is requirements- and development-focused Design Science research for distributed technology-sustained pervasive applications, incorporating knowledge from the domains of Distributed Computing, Mixed Reality, Context-Aware Computing, Geographical Information Systems and IoT. Computer video games have existed for decades, with a reusable game engine to drive them. If pervasive games can be understood as computer games interfacing with the physical world, can computer game engines be used to stage pervasive games? Considering the use of non-standard input devices in pervasive games and the rise of IoT, how will this affect the architectures supporting the broader set of pervasive applications? The use of a game engine can be found in some existing pervasive game projects, but general research into how the domain of pervasive games overlaps with that of video games is lacking. When an engine is used, a discussion of, what type of engine is most suitable and what properties are being fulfilled by the engine, is often not part of the discourse. This dissertation uses multiple iterations of the method framework for Design Science for the design and development of three software system architectures. In the face of IoT, the problem of extending pervasive games into a fourth software architecture, accommodating a broader set of pervasive applications, is explicated. The requirements, for technology-sustained pervasive games, are verified through the design, development and demonstration of the three software system architectures. The ...Comment: 64 pages, 13 figure
    • …
    corecore