Solutions that provide a quick ROI along with significant technological benefits do exist. The trick is finding these solutions and proving that the ROI model is valid for almost every case.
"Server offload” moves computationally intensive (CPU and memory) processing that would normally be handled by servers to an external platform. This report explains how modern offload technologies in Application Delivery Controllers can drastically reduce expenses in traditional and virtualized architectures, with a fast ROI.
Whether you are looking to consolidate physical resources and create a virtualized data center, or you’re sticking with a tried-and-true traditional architecture, the ability to forestall additional capital expenditures through the implementation of server offload techniques can only improve your financial efficiency—while maintaining or even improving availability, capacity, and performance.
Assume 100 servers, each costing an average of US $2,500, consume 150 watts of power at an average cost of 10.6 cents per KwH1 , and cost the organization $2882 a year in administrative costs. As this paper will show, reducing the number of servers from 1,000 to 600, while servicing the same number of users at the same performance levels, results in a full return on a $200,000 investment in about 10 months. The savings that achieve this ROI come from the reduction in power and management costs those 400 servers would have required. Future savings can be calculated by reducing the projected growth in server count and applying the same cost savings to those servers as well.
ROI of Application Delivery Controllers in Traditional and Virtualized Environments.pdf 299.50 kB
