1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center

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 “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.

• Type: Conference
• Year: 2008
• Where: ICAC
• Authors: Xiaoyun Zhu, Donald Young, Brian J. Watson, Zhikui Wang, Jerry Rolia, Sharad Singhal, Bret McKee, Chris Hyser, Daniel Gmach, Rob Gardner, Tom Christian, Ludmila Cherkasova
• Keywords: Application Owners, Autonomic Computing, Data Center, ICAC 2008, Service Level