John Karidis
ABSTRACT
There are five main components to the cost of delivering computing in a data center: (i) the construction of the data center building itself; (ii) the power and cooling infrastructure for the data center; (iii) the acquisition cost of the servers that populate the data center; (iv) the cost of electricity to power (and cool) the servers; and (v) the cost of managing those servers. We first study the fundamental economics of operating such a data center with a model that captures the first four costs. We call these the physical cost, as it does not include the labor cost. We show that it makes economic sense to design data centers for relatively low power densities, and that increasing server utilization is an efficient way to reduce total cost of computation. We then develop a cost/performance model that includes the management cost and allows the evaluation of the optimal server size for consolidation. We show that, for a broad range of operating and cost conditions, servers with 4 to 16 processor sockets result in the lowest total cost of computing.
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Digital Library
- Xiabo Fan, Wolf-Dietrich Weber, Luiz A. Barroso. Power provisioning for a warehouse-size computer. In Proceedings of the ACM International Symposium on Computer Architecture. San Diego, CA, June 2007. Google ScholarDigital Library
- Kevin Lim, Parthasarathy Ranganathan, Jichuam Chang, Chadrakant Patel, Trevor Mudge, Steven Reinhardt. Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments. In Proceeding of the ACM International Symposium on Computer Architecture. Beijing, China, June 2008. Google ScholarDigital Library
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- Werner Vogels. Beyond Server Consolidation. ACM Queue vol. 6, no. 1 - January/February 2008. Google ScholarDigital Library
Index Terms
- True value: assessing and optimizing the cost of computing at the data center level
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