Autonomic management of non-functional concerns in distributed & parallel application programming

An approach to the management of non-functional concerns in massively parallel and/or distributed architectures that marries parallel programming patterns with autonomic computing is presented. The necessity and suitability of the adoption of autonomic techniques are evidenced. Issues arising in the...

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Bibliographic Details
Published in:2009 IEEE International Symposium on Parallel & Distributed Processing pp. 1 - 12
Main Authors: Aldinucci, M., Danelutto, M., Kilpatrick, P.
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2009
Subjects:
Algorithm design and analysis
algorithmic skeleton
autonomic management
behavioural skeleton
Clouds
Clustering algorithms
Computer architecture
Computer science
design pattern
Distributed computing
Environmental management
grid
parallel computing
Parallel programming
Programming profession
Skeleton
ISBN:9781424437511, 1424437512
ISSN:1530-2075
Online Access:Get full text
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Summary:An approach to the management of non-functional concerns in massively parallel and/or distributed architectures that marries parallel programming patterns with autonomic computing is presented. The necessity and suitability of the adoption of autonomic techniques are evidenced. Issues arising in the implementation of autonomic managers taking care of multiple concerns and of coordination among hierarchies of such autonomic managers are discussed. Experimental results are presented that demonstrate the feasibility of the approach.
ISBN:9781424437511
1424437512
ISSN:1530-2075
DOI:10.1109/IPDPS.2009.5161034