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The Case for Full-Throttle Computing: An Alternative Datacenter Design Strategy
July/August 2010 (vol. 30 no. 4)
pp. 25-28
José E. Moreira, IBM Thomas J. Watson Research Center
John Karidis, IBM Thomas J. Watson Research Center

The authors argue that the minimum cost of computing can be provided by consolidating real-time workloads onto relatively large servers, which can operate at high utilization while maintaining required response time, and then filling the remaining overhead capacity with batch-like workloads sold at a significantly reduced price.

1. L.A. Barroso and U. Hölzle, "The Case for Energy-Proportional Computing," Computer, vol. 40, no. 12, 2007, pp. 33-37.
2. X. Fan, W.-D. Weber, and L.A. Barroso, "Power Provisioning for a Warehouse-Sized Computer," Proc. ACM Int'l Symp. Computer Architecture (ISCA 07), ACM Press, 2007, pp. 13-23.
3. C.D. Patel and A.J. Shah, Cost Model for Planning, Development and Operation of a Data Center, tech. report HPL-2005-107R1, HP Laboratories, 2005.
4. J. Karidis, J.E. Moreira, and J. Moreno, "True Value: Assessing and Optimizing the Cost of Computing at the Data Center Level," Proc. 6th ACM Conf. Computing Frontiers, ACM Press, 2009, pp. 185-192.
5. W.P. Turner and K.G. Brill, "Cost Model: Dollars per kW Plus Dollars per Square Foot of Compute Floor," white paper, Uptime Inst., 2008.
6. M. Levin, Best Practices and Benchmarks in the Data Center, Mark Levin & Partners, LLC, 2006.
7. W. Vogels, "Beyond Server Consolidation," ACM Queue, vol. 6, no. 1, 2008, pp. 20-26.

Index Terms:
servers, data center, cost of computing, energy-proportional computing, and hardware
Citation:
José E. Moreira, John Karidis, "The Case for Full-Throttle Computing: An Alternative Datacenter Design Strategy," IEEE Micro, vol. 30, no. 4, pp. 25-28, July-Aug. 2010, doi:10.1109/MM.2010.74
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