These categories will encourage agencies to concentrate on optimizing their core centers across total cost of ownership metrics, while striving to reach the government-wide goal of closing 40% of non-core data centers.
In conjunction with the
. Power usage effectiveness (PUE) must be lower than 3.0
. Data center must be metered for use of electricity
. Agency must have sufficient information to calculate a cost of operating system per hour (COSH) score
. Virtualization must be at least 40% - Virtualization is defined as a technology that allows multiple, software-based machines, with different operating systems, to run in isolation, side-by-side, on the same physical machine.
. There must be at least a ratio of 10 servers per full time equivalent (FTE)
. Power capacity must be at least 30 watts per square foot
. Facility utilization must be between 20% and 80% of the data center space
. Data center must meet at least the Tier One standards defined by the
. Data center must be agency owned, leased or in the cloud
Total Cost of Ownership (TCO) Model
Under the guidance of the
The primary TCO model's primary capabilities are:
. Aggregates data center costs and calculates the cost of delivering an operating system, whether virtual or physical. This allows agencies to compare data center costs to alternative hosting solutions and provides an overall snapshot of cost models.
. Provides information and analysis for CIOs to make educated, cost-based decisions on what data centers to optimize and consolidate, assess the impact of potential optimization and consolidation decisions, and to determine where to most cost effectively deploy applications across their portfolio.
. Provides an executive level dashboard for agencies to analyze different scenarios to calculate the potential return on consolidation/optimization investments - e.g. how much will increasing virtualization save the agency?
As recommended by commercial and public sector best practice, the TCO Model uses the operating system (OS) as the base commodity for measuring efficiency and cost. It breaks down costs associated with data center ownership to the cost per OS per hour (COSH) level. Commoditization of data center resources at the OS level allows for direct, apples to apples comparison with other agencies and across agency sub-components, as well as with cloud-based Infrastructure, outsourcing and other infrastructure options. Agencies can make better, more informed consolidation and optimization decisions by using the TCO Model to analyze alternatives and associated projected costs. It enables agencies to weigh specific factors against of series of optimization and consolidation actions which, if taken, should enable improved mission service delivery.
As agencies have gained experience with the tool and its applicability to IT planning, they have requested updates and changes. GSA and the
The FDCCI has made significant strides identifying, analyzing and optimizing Federal data centers across government. To date, over 484 data centers have been closed, with another 855 scheduled for closure by the end of FY 13. Data Center consolidation is an important part of broader federal IT reform focused on optimizing investments and resulting operational efficiencies that improve mission results. GSA is providing valuable, practical tools and support to agencies that enable accurate, complete data center inventories and analysis. While there is much to be accomplished in the years ahead, we are assembling a more complete, accurate and transparent inventory of data center assets than has previously existed.
n1 This definition excludes facilities exclusively devoted to communications and network equipment (e.g., telephone exchanges and telecommunications rooms).
Read this original document at: http://oversight.house.gov/wp-content/uploads/2013/07/McClure-Final.pdf
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