Modelo de determinacion de tco de un datacenter

UPTIME INSTITUTE WHITE PAPER A Simple Model for Determining True Total Cost of Ownership for Data Centers

W H I T E PA P E R

A Simple Model for Determining True Total Cost of Ownership for Data Centers
Version 2.1, March 31, 2008
By Jonathan Koomey, Ph.D. with Kenneth Brill, Pitt Turner, John Stanley, and Bruce Taylor

(Editor’s Note: The independent research and writing of this whitepaper was commissioned and underwritten by IBM Deep Computing Capacity On Demand (DCCoD) (http://www.ibm.com/servers/deepcomputing/cod). The drafts of this paper and the spreadsheet for the True Total Cost of Ownership model were reviewed by the senior technical staff of the Uptime Institute (Institute) and other industry experts from both the IT hardware manufacturing and large-scale enterprisedata center user communities. As is the policy of the Institute, with the first published edition of this paper, the Institute invites and encourages serious critique and comment, and, with the permission of reviewers, those comments that the author believes advance the research may be incorporated into a subsequent update. These comments should be addressed directly to the primary author, JonathanKoomey at jgkoomey@stanford.edu)

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UPTIME INSTITUTE WHITE PAPER A Simple Model for Determining True Total Cost of Ownership for Data Centers

Executive Summary
Data centers are mission-critical components of all large enterprises and frequently cost hundreds of millions of dollars to build, yet few high-level executives understand the true cost of building and operating such facilities.Costs are typically spread across the IT, networking, and facilities/corporate real-estate departments, which makes management of these costs and assessment of alternatives difficult. This paper presents a simple approach to enable C-suite executives to assess the true total costs of building, owning, and operating their data center physical facilities (what we are here calling the True TCO). Thebusiness case in this paper focuses on a specific type of data center facility: a high-performance computing (HPC) facility in financial services. However, the spreadsheet model (available for download at http://www. uptimeinstitute.org/TrueTCO) can be easily modified to reflect any company’s particular circumstances. Illustrative results from this true data center TCO model demonstrate whypurchasing high-efficiency computing equipment for data centers can be much more cost effective than is widely believed.

the first to our knowledge to create a comprehensive framework for calculating both the IT and facilities costs with assumptions documented in a transparent way. The contribution of such “open-source” transparency, combined with the spreadsheet model itself being publiclyavailable free from the Institute’s web pages, will allow others to use and build on the results. For simplicity, we focused this inquiry on a new high-density HPC data center housing financial and analytics applications, such as derivatives forecasting, risk and decision analysis and Monte Carlo simulations. We choose this financial services HPC example because such applications are bothcompute-intensive and growing rapidly in the marketplace.

This Paper
1. Presents a simple spreadsheet tool for modeling the true total cost of ownership (True TCO) that can be used by financial analysts and high-level managers to understand all the components of data center costs, including both capital and operating expenses (CapEx/OpEx). 2. Documents assumptions in a transparent way so that others caneasily understand, use, and critique the results. 3. Suggests that purchasers of servers and other IT hardware explore options for improving the efficiency of that equipment (even if it increases the initial purchase price) to capture the substantial infrastructure cost savings associated with such efficiency improvements.

Data and Methods
The data center in our example is assumed to have 20...