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2007
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Capacity Management and Demand Prediction for Next Generation Data Centers

9 years 15 days ago
Capacity Management and Demand Prediction for Next Generation Data Centers
Advances in server, network, and storage virtualization are enabling the creation of resource pools of servers that permit multiple application workloads to share each server in the pool. This paper proposes and evaluates aspects of a capacity management process for automating the efficient use of such pools when hosting large numbers of services. We use a trace based approach to capacity management that relies on i) a definition for required capacity, ii) the characterization of workload demand patterns, iii) the generation of synthetic workloads that predict future demands based on the patterns, and iv) a workload placement recommendation service. A case study with 6 months of data representing the resource usage of 139 workloads in an enterprise data center demonstrates the effectiveness of the proposed capacity management process. Our results show that when consolidating to 8 processor systems, we predicted future per-server required capacity to within one processor 95% of the t...
Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Alf
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ICWS
Authors Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Alfons Kemper
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