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Live migration / Fat client / Thin client / Client / X Window System / VM / Virtual machine / System software / Software / Computing


Dimorphic Computing: Sustainable Performance Through Thick and Thin Andrés Lagar-Cavilla† , Niraj Tolia? , Rajesh Balan? , Eyal de Lara† , M. Satyanarayanan? , David O’Hallaron? † University of Toronto, ? Carneg
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Document Date: 2009-06-16 20:58:10

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File Size: 33,31 KB

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City

Phoenix / Los Angeles / Boston / /

Company

ACM Press / VMWare / /

Event

Natural Disaster / /

Facility

Carnegie Mellon University / University of Toronto / /

IndustryTerm

open-source tool / local computing resources / execution site / higher network / machine learning algorithms / thick and thin client computing / migration technology / computing / block device / scientific computing / dimorphic computing / thin client computing / /

MarketIndex

case 100 / /

Organization

Carnegie Mellon University / U.S. Securities and Exchange Commission / University of Toronto / /

Person

Niraj Tolia / Rajesh Balan / A KCELIK / V / /

Position

model of computing / model of dimorphic computing / J. High resolution forward / /

Product

AgentISR / /

ProvinceOrState

Arizona / Massachusetts / /

Technology

Virtual Machine / machine learning algorithms / finite state machine / thin client / migration technology / Gigabit / simulation / Operating Systems / WAN / disk cache / CAD / /

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