Power and energy containers for multicore servers

Estimating Power/Energy Consumption in Database Servers

The explosive growth in the size of data centers, coupled with the wide-spread use of virtualization technology has brought power and energy consumption as major concerns for data center administrators. Provisioning decisions must take into consideration not only target application performance but also the power demands and total energy consumption incurred by the hardware and software. Failure...

Exploring Energy Efficiency for GPU-Accelerated POWER Servers

Mitigating the Cost, Performance, and Power Overheads Induced by Load Variations in Multicore Cloud Servers

Hong, Yu-Ju. Ph.D., Purdue University, December 2013. Mitigating the cost, performance, and power overheads induced by load variations in multicore cloud servers. Major Professor: Mithuna Thottethodi. Load variations whether in space or time pose a significant challenge to system designers. These load variations may induce inefficiencies such as load imbalance and overprovisioning, resulting in...

Energy Conservation for Servers

Introduction Power management has been thoroughly studied for applications running on battery-powered platforms [3,5]. We take the position that power management is equally important for server environments, where high performance and reliability have traditionally been the most important design and evaluation factors. This position breaks with tradition and argues for considering energy consum...

Architecture for Scalable, Distributed Database System built on Multicore Servers

Many scientific fields routinely generate huge datasets. In many cases, these datasets are not static but rapidly grow in size. Handling these types of datasets, as well as allowing sophisticated queries necessitates efficient distributed database systems that allow geographically dispersed users to access resources and to use machines simultaneously in anytime and anywhere. In this paper we pr...