A Framework for Self-adaptive Collaborative Computing on Reconfigurable Platforms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00382326" target="_blank" >RIV/67985556:_____/12:00382326 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
A Framework for Self-adaptive Collaborative Computing on Reconfigurable Platforms
Original language description
As the number and complexity of computing devices in the environment around us increases, it is interesting to see how we could exploit that and glue them together to create larger co-operative distributed systems. This paper describes a framework for dynamically aggregating and configuring processing resources in order to meet local requirements and constraints. The capability of this framework is demonstrated by a case study using an adaptive least mean squares filter (ALMS) application. ALMS improvesconvergence of least mean squares filters at the cost of more resources, and allows us to demonstrate abilities of the framework such as task offloading and run-time adaptation to available resources.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Parallel Computing
ISBN
978-1-61499-040-6
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
579-586
Publisher name
IOS Press BV
Place of publication
Amsterdam
Event location
Ghent
Event date
Aug 30, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—