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Issue No.04 - July/August (2010 vol.30)
pp: 25-28
José E. Moreira , IBM Thomas J. Watson Research Center
<p>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.</p>
servers, data center, cost of computing, energy-proportional computing, and hardware
José E. Moreira, "The Case for Full-Throttle Computing: An Alternative Datacenter Design Strategy", IEEE Micro, vol.30, no. 4, pp. 25-28, July/August 2010, doi:10.1109/MM.2010.74
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.
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