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Tom Sawyer Software Continues Green Push with Virtualized Servers

Tom Sawyer Software Adopts Server Virtualization as a Green Solution for its Information Technology Environment

Oakland, CA, December 12, 2008—Tom Sawyer Software, the leading provider of high-performance data visualization, layout, and analysis solutions, announces the deployment of an IT virtualization project as part of its ongoing strategy to go green. Virtualization enables a single server to do the job of several computers. The virtual consolidation of IT infrastructure increases energy efficiency, provides environmental sustainability, and reduces Tom Sawyer's greenhouse gas emissions by over fifty percent.

Server virtualization, a recent trend in greening solutions, is popular because of its dramatic contribution to reducing energy demands while increasing service capacity. According to the United States Environmental Protection Agency's (EPA) report to Congress in 2007, the nation's servers and data centers alone make up 1.5 percent of United States' energy consumption. Included in this percentage is 85 to 95 percent server idle time, during which servers consume almost as much energy as when they are active. It is projected that within the next five years, the total amount of energy consumed by data centers in the U. S. will double.

IT Managers like John Urness at Tom Sawyer Software are on the lookout to reduce their energy consumption. Urness states, "Even though we, as a software company, have a limited impact on the environment compared to that of manufacturing industries, it's crucial to stay environmentally conscious. We're committed to finding new solutions to maximize energy efficiency and reduce our carbon footprint."

Giving Urness his complete support, Tom Sawyer Software CEO Brendan Madden explains, "For years, we've been pushing our employees to do everything possible to help preserve the environment, from driving hybrid cars and turning off computers and lights every evening, to composting and recycling paper and water bottles. The small things that most people forget can have a huge impact on our environment. With our IT virtualization project, we're taking Tom Sawyer's green philosophy to a whole new level by producing significant results that we can measure."

Before its move towards a virtualized IT environment, Tom Sawyer was frequently adding new servers to its array, consuming an additional 30,000 KWh with each new purchase. To curtail this ever-escalating pattern, Tom Sawyer invested in VMware virtualization software. This software consolidates Tom Sawyer's array of servers, including those that are underutilized, into one or more host servers. Through the virtualization project, Tom Sawyer expects to cut fifty percent of its server energy consumption over the next five years. Furthermore, minimizing the number of physical servers eradicates server-generated heat, eliminates cooling energy expenditures, and contributes to the overall reduction of Tom Sawyer's greenhouse gas emissions.

Greenhouse gas emissions, which consist of carbon dioxide, water vapor, and other trace gases, are the leading cause of human-induced global warming. These emissions negatively enhance the greenhouse effect by changing the energy transference in the earth's atmosphere and traps heat and radiation on earth.

While the IT virtualization project aims to reduce Tom Sawyer Software's greenhouse gas emissions, its employees will continue to take extra strides to go green.

About Tom Sawyer Software

Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.

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