Bret McKee

Publications (3)0.52 Total impact

• Source

  Available from: Xiaoyun Zhu

  Article: 1000 islands: an integrated approach to resource management for virtualized data centers

  Xiaoyun Zhu, Donald Young, Brian J. Watson, Zhikui Wang, Jerry Rolia, Sharad Singhal, Bret McKee, Chris Hyser, Daniel Gmach, Robert Gardner, Tom Christian, Ludmila Cherkasova
  [show abstract] [hide abstract]
  ABSTRACT: Recent advances in hardware and software virtualization offer unprecedented management capabilities for the mapping of virtual resources to physical resources. It is highly desirable to further create a “service hosting abstraction” that allows application owners to focus on service level objectives (SLOs) for their applications. This calls for a resource management solution that achieves the SLOs for many applications in response to changing data center conditions and hides the complexity from both application owners and data center operators. In this paper, we describe an automated capacity and workload management system that integrates multiple resource controllers at three different scopes and time scales. Simulation and experimental results confirm that such an integrated solution ensures efficient and effective use of data center resources while reducing service level violations for high priority applications.
  Cluster Computing 02/2009; 12(1):45-57. · 0.52 Impact Factor
• Source

  Available from: hp.com

  Article: Autonomic virtual machine placement in the data center

  Chris Hyser, Bret Mckee, Rob Gardner, Brian J Watson
  [show abstract] [hide abstract]
  ABSTRACT: We present a high level overview of a virtual machine placement system in which an autonomic controller dynamically manages the mapping of virtual machines onto physical hosts in accordance with policies specified by the user. By closely monitoring virtual machine activity and employing advanced policies for dynamic workload placement, such an autonomic solution can achieve substantial cost savings from better utilization of computing resources and less frequent overload situations. Abstract We present a high level overview of a virtual machine placement system in which an autonomic controller dynamically manages the mapping of virtual machines onto physical hosts in accordance with policies specified by the user. By closely monitoring virtual machine activity and employing advanced policies for dynamic workload placement, such an autonomic solution can achieve substantial cost savings from better utilization of computing resources and less frequent overload situations.
  03/2008;
• Article: 1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center

  Xiaoyun Zhu, Don Young, Brian J. Watson, Zhikui Wang, Jerry Rolia, Sharad Singhal, Bret McKee, Chris Hyser, Daniel Gmach, Rob Gardner, Tom Christian, Lucy Cherkasova
  [show abstract] [hide abstract]
  ABSTRACT: Recent advances in hardware and software virtualization offer unprecedented management capabilities for the mapping of virtual resources to physical resources. It is highly desirable to further create a "service hosting abstraction" that allows application owners to focus on service level objectives (SLOs) for their applications. This calls for a resource management solution that achieves the SLOs for many applications in response to changing data center conditions and hides the complexity from both application owners and data center operators. In this paper, we describe an automated capacity and workload management system that integrates multiple resource controllers at three different scopes and time scales. Simulation and experimental results confirm that such an integrated solution ensures efficient and effective use of data center resources while reducing service level violations for high priority applications.
  Autonomic Computing, International Conference on.