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Rajkumar Buyya

  1. Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation.

    Пнд, 09/26/2011 - 15:01 — SomNambul
    Authors: Rajkumar Buyya, William Voorsluys, James Broberg, Srikumar Venugopal
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    Virtualization has become commonplace in modern data centers, often referred
    as "computing clouds". The capability of virtual machine live migration brings
    benefits such as improved performance, manageability and fault tolerance, while
    allowing workload movement with a short service downtime. However, service
    levels of applications are likely to be negatively affected during a live
    migration. For this reason, a better understanding of its effects on system
    performance is desirable.

  2. Platforms for Building and Deploying Applications for Cloud Computing.

    Пнд, 04/25/2011 - 15:01 — SomNambul
    Authors: Rajkumar Buyya, Karthik Sukumar
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    Cloud computing is rapidly emerging as a new paradigm for delivering IT
    services as utlity-oriented services on subscription-basis. The rapid
    development of applications and their deployment in Cloud computing
    environments in efficient manner is a complex task.

  3. InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services.

    Втр, 03/23/2010 - 16:02 — SomNambul
    Authors: Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    Cloud computing providers have setup several data centers at different
    geographical locations over the Internet in order to optimally serve needs of
    their customers around the world. However, existing systems do not support
    mechanisms and policies for dynamically coordinating load distribution among
    different Cloud-based data centers in order to determine optimal location for
    hosting application services to achieve reasonable QoS levels.

  4. Energy-Efficient Scheduling of HPC Applications in Cloud Computing Environments.

    Втр, 09/08/2009 - 12:16 — SomNambul
    Authors: Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, Rajkumar Buyya
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    The use of High Performance Computing (HPC) in commercial and consumer IT
    applications is becoming popular. They need the ability to gain rapid and
    scalable access to high-end computing capabilities. Cloud computing promises to
    deliver such a computing infrastructure using data centers so that HPC users
    can access applications and data from a Cloud anywhere in the world on demand
    and pay based on what they use. However, the growing demand drastically
    increases the energy consumption of data centers, which has become a critical
    issue.

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