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

Author

Aldinucci, Marco ; Danelutto, Marco ; Kilpatrick, Peter

Author_Institution

Dept. Comput. Sci., Univ. of Torino, Torino, Italy

fYear

2009

fDate

23-29 May 2009

Firstpage

1

Lastpage

12

Abstract

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.

Keywords

parallel programming; software fault tolerance; software management; autonomic computing; autonomic management; distributed application programming; nonfunctional concerns; parallel application programming; parallel programming patterns; Algorithm design and analysis; Clouds; Clustering algorithms; Computer architecture; Computer science; Distributed computing; Environmental management; Parallel programming; Programming profession; Skeleton; algorithmic skeleton; autonomic management; behavioural skeleton; clouds; design pattern; distributed computing; grid; parallel computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on

Conference_Location

Rome

ISSN

1530-2075

Print_ISBN

978-1-4244-3751-1

Electronic_ISBN

1530-2075

Type

conf

DOI

10.1109/IPDPS.2009.5161034

Filename

5161034