Resource Management and Systems Software for Enterprise Computing

The evolving complexity of systems software and hardware is making system management a serious concern in numerous enterprises. While the hardware and software procurement costs are themselves quite low, their Total Cost of Operation (TCO) due to the involvement of personnel, and issues such as energy consumption, delivery and cooling, is constituting a large part of the operating budget of data centers and supercomputing environments. Our research is developing self-* (self-tuning, self-healing, and self-managed) techniques for autonomic management of high-end servers and clusters towards the goal of making them easier to use and deploy, while optimizing their performance, power and reliability characteristics in software.