Green computing: efficient energy management of multiprocessor streaming applications via model checking

W. Ahmad

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    170 Downloads (Pure)

    Abstract

    Streaming applications such as virtual reality, video conferencing, and face detection, impose high demands on a system’s performance and battery life. With the advancement in mobile computing, these applications are increasingly implemented on battery-constrained platforms, such as gaming consoles, satellites, cell phones, automobiles and healthcare systems. Smart scheduling techniques of tasks on processing elements are crucial for self energy-supporting systems where energy harvesting and consumption is kept in balance over the lifetime of the system. These scheduling techniques also help system designers to explore implementation alternatives while maintaining adherence to the performance requirements and battery constraints of a system.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • van de Pol, Jaco , Supervisor
    • Stoelinga, Mariëlle Ida Antoinette, Advisor
    Award date13 Apr 2017
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-4290-6
    DOIs
    Publication statusPublished - 13 Apr 2017

    Fingerprint

    Energy management
    Model checking
    Scheduling
    Video conferencing
    Mobile computing
    Energy harvesting
    Face recognition
    Virtual reality
    Automobiles
    Energy utilization
    Satellites
    Processing
    Green computing

    Keywords

    • IR-104440
    • METIS-322003

    Cite this

    @phdthesis{6eb790d568604fd1b048a58a48d109f5,
    title = "Green computing: efficient energy management of multiprocessor streaming applications via model checking",
    abstract = "Streaming applications such as virtual reality, video conferencing, and face detection, impose high demands on a system’s performance and battery life. With the advancement in mobile computing, these applications are increasingly implemented on battery-constrained platforms, such as gaming consoles, satellites, cell phones, automobiles and healthcare systems. Smart scheduling techniques of tasks on processing elements are crucial for self energy-supporting systems where energy harvesting and consumption is kept in balance over the lifetime of the system. These scheduling techniques also help system designers to explore implementation alternatives while maintaining adherence to the performance requirements and battery constraints of a system.",
    keywords = "IR-104440, METIS-322003",
    author = "W. Ahmad",
    note = "IPA dissertation series no. 2017-02",
    year = "2017",
    month = "4",
    day = "13",
    doi = "10.3990/1.9789036542906",
    language = "English",
    isbn = "978-90-365-4290-6",
    publisher = "University of Twente",
    address = "Netherlands",
    school = "University of Twente",

    }

    Green computing: efficient energy management of multiprocessor streaming applications via model checking. / Ahmad, W.

    Enschede : University of Twente, 2017. 228 p.

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    TY - THES

    T1 - Green computing: efficient energy management of multiprocessor streaming applications via model checking

    AU - Ahmad, W.

    N1 - IPA dissertation series no. 2017-02

    PY - 2017/4/13

    Y1 - 2017/4/13

    N2 - Streaming applications such as virtual reality, video conferencing, and face detection, impose high demands on a system’s performance and battery life. With the advancement in mobile computing, these applications are increasingly implemented on battery-constrained platforms, such as gaming consoles, satellites, cell phones, automobiles and healthcare systems. Smart scheduling techniques of tasks on processing elements are crucial for self energy-supporting systems where energy harvesting and consumption is kept in balance over the lifetime of the system. These scheduling techniques also help system designers to explore implementation alternatives while maintaining adherence to the performance requirements and battery constraints of a system.

    AB - Streaming applications such as virtual reality, video conferencing, and face detection, impose high demands on a system’s performance and battery life. With the advancement in mobile computing, these applications are increasingly implemented on battery-constrained platforms, such as gaming consoles, satellites, cell phones, automobiles and healthcare systems. Smart scheduling techniques of tasks on processing elements are crucial for self energy-supporting systems where energy harvesting and consumption is kept in balance over the lifetime of the system. These scheduling techniques also help system designers to explore implementation alternatives while maintaining adherence to the performance requirements and battery constraints of a system.

    KW - IR-104440

    KW - METIS-322003

    U2 - 10.3990/1.9789036542906

    DO - 10.3990/1.9789036542906

    M3 - PhD Thesis - Research UT, graduation UT

    SN - 978-90-365-4290-6

    PB - University of Twente

    CY - Enschede

    ER -