Title:
Optimizing Dynamic Producer/Consumer Style Applications in Embedded Environments

dc.contributor.author Zhou, Dong en_US
dc.contributor.author Pande, Santosh
dc.contributor.author Schwan, Karsten
dc.date.accessioned 2005-06-17T17:39:03Z
dc.date.available 2005-06-17T17:39:03Z
dc.date.issued 2002 en_US
dc.description.abstract Many applications in pervasive computing environments are subject to resource constraints in terms of limited bandwidth and processing power. As such applications grow in scale and complexity, these constraints become increasingly difficult to predict at design and deployment times. Runtime adaptation is hence required for the dynamics in such constraints. However, to maintain the lightweightness of such adaptation it is important to statically gather relevant program information to reduce the runtime overhead of dynamic adaptation. This paper presents methods that use both static program analysis and runtime profiling to support the adaptation of producer/consumer-style pervasive applications. It demonstrates these methods with a network traffic-centric cost model and a program execution time-centric cost model. A communication bandwidth critical application and a computation intensive application are used to demonstrate the significant performance improvement opportunities offered by these methods under the presence of respective resource constraints. en_US
dc.format.extent 278952 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6525
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries CC Technical Report; GIT-CC-02-09 en_US
dc.subject Pervasive computing
dc.subject Producer-consumer
dc.subject Peer-to-peer systems
dc.subject Program analysis
dc.subject Runtime profiling
dc.subject Dynamic adaptation
dc.title Optimizing Dynamic Producer/Consumer Style Applications in Embedded Environments en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Pande, Santosh
local.contributor.author Schwan, Karsten
local.contributor.corporatename College of Computing
local.relation.ispartofseries College of Computing Technical Report Series
relation.isAuthorOfPublication 6239fe5b-32c4-4067-9614-1ccca3374873
relation.isAuthorOfPublication a89a7e85-7f70-4eee-a49a-5090d7e88ce6
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 35c9e8fc-dd67-4201-b1d5-016381ef65b8
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