David Carrera
Malgorzata Steinder
ABSTRACT
In this paper we address the problem of managing heterogeneous workloads in a virtualized data center. We consider two different workloads: transactional applications and long-running jobs. We present a technique that permits collocation of these workload types on the same physical hardware. Our technique dynamically modifies workload placement by leveraging control mechanisms such as suspension and migration, and strives to optimally trade off resource allocation among these workloads in spite of their differing characteristics and performance objectives. Our approach builds upon our previous work on dynamically placing transactional workloads. This paper extends our framework with the capability to manage long-running workloads. We achieve this goal by using utility functions, which permit us to compare the performance of various workloads, and which are used to drive allocation decisions. We demonstrate that our technique maximizes heterogeneous workload performance while providing service differentiation based on high-level performance goals.
- D. Carrera, M. Steinder, I. Whalley, J. Torres, and E. Ayguadé. Managing SLAs of heterogeneous workloads using dynamic application placement. Technical Report RC 24469, IBM Research, Jan. 2008.Google Scholar
Digital Library
- D. Carrera, M. Steinder, I. Whalley, J. Torres, and E. Ayguadé. Utility-based placement of dynamic web applications with fairness goals. In 11th IEEE/IFIP Network Operations and Management Symposium (NOMS 2008), Salvador Bahia, Brazil, 2008.Google ScholarCross Ref
- E. D. Jensen, C. D. Locke, and H. Tokuda. A time-driven scheduling model for real-time operating systems. In IEEE Real-Time Systems Symposium, pages 112--122, 1985.Google Scholar
- C. B. Lee and A. E. Snavely. Precise and realistic utility functions for user-centric performance analysis of schedulers. In HPDC '07: Proceedings of the 16th international symposium on High performance distributed computing, pages 107--116, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- M. Steinder, I. Whalley, D. Carrera, I. Gaweda, and D. Chess. Server virtualization in autonomic management of heterogeneous workloads. In 10th IEEE/IFIP Symposium on Integrated Management (IM 2007), Munich, Germany, 2007.Google ScholarCross Ref
- Sun Microsystems. Behavior of mixed workloads consolidated using Solaris Resource Manager software. Technical report, May 2005.Google Scholar
Index Terms
Managing SLAs of heterogeneous workloads using dynamic application placement
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