Dimorphic Computing

Dimorphic computing is a new model of computing that switches between thick and thin client modes of execution in a completely automated and transparent manner. It accomplishes this without imposing any language or structural requirements on applications. This model greatly improves the performance...

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Main Authors: LAGAR-CAVILLA, H. Andreas, Tolia, Niraj, BALAN, Rajesh Krishna, De Lara, Eyal, Satyanarayanan, Mahadev, O'Halloran, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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ADF
Online Access:https://ink.library.smu.edu.sg/sis_research/1209
http://repository.cmu.edu/pdl/43/
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-22082010-12-22T08:24:06Z Dimorphic Computing LAGAR-CAVILLA, H. Andreas Tolia, Niraj BALAN, Rajesh Krishna De Lara, Eyal Satyanarayanan, Mahadev O'Halloran, David Dimorphic computing is a new model of computing that switches between thick and thin client modes of execution in a completely automated and transparent manner. It accomplishes this without imposing any language or structural requirements on applications. This model greatly improves the performance of applications that alternate between phases of compute- or data-intensive processing and intense user interaction. For such applications, the thin client mode allows efficient use of remote resources such as compute servers or large datasets. The thick client mode enables crisp interactive performance by eliminating the harmful effects of Internet latency and jitter, and by exploiting local graphical hardware acceleration. We demonstrate the feasibility and value of dimorphic computing through AgentISR, a prototype that exploits virtual machine technology. Experiments with AgentISR confirm that the performance of a number of widely-used scientific and graphic arts applications can be significantly improved without requiring any modification. 2006-04-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1209 http://repository.cmu.edu/pdl/43/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Interactive response network latency network delay network bandwidth vitual machines thin client thick client graphics hardware agents migration Maya QuakeViz ADF Kmenc15 Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Interactive response
network latency
network delay
network bandwidth vitual machines
thin client
thick client
graphics hardware
agents
migration
Maya
QuakeViz
ADF
Kmenc15
Software Engineering
spellingShingle Interactive response
network latency
network delay
network bandwidth vitual machines
thin client
thick client
graphics hardware
agents
migration
Maya
QuakeViz
ADF
Kmenc15
Software Engineering
LAGAR-CAVILLA, H. Andreas
Tolia, Niraj
BALAN, Rajesh Krishna
De Lara, Eyal
Satyanarayanan, Mahadev
O'Halloran, David
Dimorphic Computing
description Dimorphic computing is a new model of computing that switches between thick and thin client modes of execution in a completely automated and transparent manner. It accomplishes this without imposing any language or structural requirements on applications. This model greatly improves the performance of applications that alternate between phases of compute- or data-intensive processing and intense user interaction. For such applications, the thin client mode allows efficient use of remote resources such as compute servers or large datasets. The thick client mode enables crisp interactive performance by eliminating the harmful effects of Internet latency and jitter, and by exploiting local graphical hardware acceleration. We demonstrate the feasibility and value of dimorphic computing through AgentISR, a prototype that exploits virtual machine technology. Experiments with AgentISR confirm that the performance of a number of widely-used scientific and graphic arts applications can be significantly improved without requiring any modification.
format text
author LAGAR-CAVILLA, H. Andreas
Tolia, Niraj
BALAN, Rajesh Krishna
De Lara, Eyal
Satyanarayanan, Mahadev
O'Halloran, David
author_facet LAGAR-CAVILLA, H. Andreas
Tolia, Niraj
BALAN, Rajesh Krishna
De Lara, Eyal
Satyanarayanan, Mahadev
O'Halloran, David
author_sort LAGAR-CAVILLA, H. Andreas
title Dimorphic Computing
title_short Dimorphic Computing
title_full Dimorphic Computing
title_fullStr Dimorphic Computing
title_full_unstemmed Dimorphic Computing
title_sort dimorphic computing
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/sis_research/1209
http://repository.cmu.edu/pdl/43/
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