Fiat / Cambridge University Press / 5PM / X LP C / Microsoft / /
Continent
Europe / /
Country
Jordan / /
Currency
USD / /
Event
Product Issues / Product Recall / /
Facility
Adam Wierman California Institute of Technology Lachlan L. H. Andrew Swinburne University / Carnegie Mellon University / University of California at Berkeley / /
IndustryTerm
Online computation / enterprise data center applications / unfair metrical task systems / performance management / online algorithms literature / offline algorithm / offline optimal solution / renewable energy sources / energy-efficient data centers / theoretic based algorithms / myopic algorithm / load-dependent energy consumption / online manner / proportional computing / classical algorithms / server energy consumption / energy savings / energy cost models / energy / idle server / processor sharing systems / energy costs / connection-intensive internet services / energy consumption / metrical task systems / energy cost / offline solution / active server / search engines / electricity bill / energy saving / energy management / online algorithm / on-line algorithm / energy efficiency / Early systems / computing / server energy / Online Algorithms / energy increases / virtualized computing environments / cloud computing / data centers implementing cloud services / fixed energy cost / /
Organization
California Institute of Technology / Cambridge University / University of California / Technology Lachlan L. H. Andrew Swinburne University of Technology Abstract / Carnegie Mellon University / Univ. of Melbourne / Adam Wierman California Institute / /
Person
R. Das / C. Lefurgy / Adam Wierman / M. Harchol-Balter / E. F. Camacho / C. Bordons / A. Gandhi / J. Cipar / V / Minghong Lin / /
Position
The data center cost model We model a data center / Pm Pm / Model / /
Dynamic right-sizing for power-proportional data centers Minghong Lin and Adam Wierman California Institute of Technology Lachlan L. H. Andrew Swinburne University of Technology