Saint-Malo / San Antonio / Montreal / Austin / Philadelphia / Kolding / Monterey / New Orleans / San Diego / /
Company
Hewlett-Packard / Distributed Computing Systems / IBM / Nokia / Compaq / Intel / Microsoft / Toshiba / /
Continent
Americas / /
Country
France / Canada / Denmark / United States / /
Currency
USD / /
Event
Product Issues / /
Facility
Carnegie Mellon University / /
IndustryTerm
weighted energy component / adaptive mobile applications / faster server / battery energy / energy conservation / pervasive computing / shared computing environment / execution systems / particular server / data-intensive cluster computing / Spectra helps applications / mobile hardware / file server / energy scenario / energy use / adaptive applications / energy supply / client energy usage / Speech recognition energy usage / energy remaining / energy savings / energy usage / energy / pervasive computing environments / target applications / energy-performance tradeoff / operation energy demand / greater processing power / energy consumption / energy management support / plentiful wireless bandwidth / shows energy use / less energy / energy efficiency / computing / application energy usage / client processor / increased energy use / closed-source applications / energy needs / few recent systems / little infrastructure / remote infrastructure / wireless network / Application energy consumption / Remote execution using wireless networks / consistency when network / sive computing / service discovery protocol / less obtrusive computing devices / predicted energy usage / energy benefits / Pervasive applications / legacy applications / remote server / application energy use / resource-hungry applications / energy cost / storage-area network / large applications / energy measurements / resourcepoor mobile device / possible remote server / /
OperatingSystem
Linux / /
Organization
U.S. government / Assoc. for Mach / Carnegie Mellon University / United States Navy / Defense Advanced Projects Research Agency / National Science Foundation / U.S. Navy / /
Person
Jie Yang / Rob Frederking / Jan Harkes / Ralf Brown / Shafeeq Sinnamohideen / Spectra / /
Position
video player / Butler / Pangloss-Lite language translator / Walker / natural language translator / General / /
Balancing Performance, Energy, and Quality in Pervasive Computing Jason Flinn†‡ , SoYoung Park† , and M. Satyanarayanan†‡ † Carnegie Mellon University, ‡ Intel Research Pittsburgh Abstract