evaluate the policies using a validated simulator that calculates the energy usage and response times of a Web server cluster serving traces culled from real-life Web server workloads.

I started my graduate program in Michigan with the hope of gaining some experi-ence in architecting computing platforms. To this end, I have gained a lot more than I expected. I would like to first acknowledge my Research Advisor Trevor Mudge for providing me with excellent direction and advice. He has introduced me to interesting problems that need to be solved by today’s system architects. My defense committee members have also helped me improve my research abilities. Dennis, I remember the first time we met when I was a fresh graduate student asking for guidance in respect to course work. I recall taking a class you taught in the first semester. That class has inspired me and lead me to believe that I made the right decision coming to graduate school. Steve, your collaboration and guidance in research, especially with system level simulation, has helped me realize issues that I could not identify before. I sincerely appreciate your efforts. And finally Scott, your comments on my work in many aspects have definitely helped me rethink the problem and look at it at a new angle. I would like to acknowledge my colleagues, Sangwon Yoon, Jisoo Yang, Mark Woh,

Virtualization technologies which are heavily relied on by the Cloud Computing environments provide the ability to transfer virtual machines (VM) between the physical systems using the technique of live migration mainly for improving the energy efficiency. Dynamic server consolidation through live

Energy-efficient communication has recently become a key challenge for both researchers and industries. In this paper, we propose a new model in which a Content Provider and an Internet Service Provider cooperate to reduce the total power consumption. We solve the problem optimally and compare

In this paper we describe T-MAC, a contention-based Medium Access Control protocol for wireless sensor networks. Applications for these networks have some characteristics (low message rate, insensitivity to latency) that can be exploited to reduce energy consumption by introducing an active

clusters. The goals are to provi-sion server resources for co-hosted services in a way that automati-cally adapts to offered load, improve the energy efficiency of server dusters by dynamically resizing the active server set, and respond to power supply disruptions or thermal events by degrading service

Procurement guidance for energy efficient server room and data centre equipment A PrimeEnergyIT Publication

frequency plots and ‘energy dot plots’, are available for the folding of single sequences. A variety of ‘bulk ’ servers give less information,but in a shorter time and for up to hundreds of sequences at once. The portal for the mfold web server is

SWISS-MODEL

capsules enable the deploy-ment of ad-hoc routing and data aggregation algorithms. Maté's concise, high-level program representation simplifies programming and allows large networks to be frequently re-programmed in an energy-efficient manner; in addition, its safe execution environment suggests a use