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James W. Smith

  1. Workload Classification & Software Energy Measurement for Efficient Scheduling on Private Cloud Platforms.

    Пнд, 05/16/2011 - 15:01 — SomNambul
    Authors: Ian Sommerville, James W. Smith
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    At present there are a number of barriers to creating an energy efficient
    workload scheduler for a Private Cloud based data center. Firstly, the
    relationship between different workloads and power consumption must be
    investigated. Secondly, current hardware-based solutions to providing energy
    usage statistics are unsuitable in warehouse scale data centers where low cost
    and scalability are desirable properties.

  2. The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise.

    Чт, 08/12/2010 - 15:01 — SomNambul
    Authors: Ali Khajeh-Hosseini, Ian Sommerville, David Greenwood, James W. Smith
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    Cloud computing promises a radical shift in the provisioning of computing
    resource within the enterprise. This paper describes the challenges that
    decision makers face when assessing the feasibility of the adoption of cloud
    computing in their organisations, and describes our Cloud Adoption Toolkit,
    which has been developed to support this process. The toolkit provides a
    framework to support decision makers in identifying their concerns, and
    matching these concerns to appropriate tools/techniques that can be used to
    address them.

Math-arch

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