DocumentCode :
2174735
Title :
Analyzing Memory Requirements for Pervasive Grid Applications
Author :
Bertolli, Carlo ; Mencagli, Gabriele ; Vanneschi, Marco
Author_Institution :
Dept. of Comput. Sci., Univ. of Pisa, Pisa, Italy
fYear :
2010
fDate :
17-19 Feb. 2010
Firstpage :
297
Lastpage :
301
Abstract :
Pervasive Grid Computing Platforms include centralized computing nodes (e. g. parallel servers) as well as decentralized and mobile devices. Pervasive Grid applications include data- and computing-intensive components which can be mapped also onto decentralized and mobile nodes. The effective and practical success of this mapping resides also in deriving proper configurations of applications which consider the limited memory capabilities of those resources. In this paper we target this issue by showing how we can study and configure the memory requirements of an Emergency Management application. We present our solutions by using the ASSISTANT programming model for Pervasive Grid applications.
Keywords :
grid computing; mobile computing; parallel processing; storage management; ASSISTANT programming model; analyzing memory requirements; centralized computing nodes; computing-intensive components; data-intensive components; decentralized devices; decentralized nodes; emergency management application; memory capability; mobile devices; mobile nodes; parallel servers; pervasive grid applications; pervasive grid computing platforms; Application software; Concurrent computing; Disaster management; Floods; Grid computing; Memory management; Mobile computing; Parallel programming; Pervasive computing; Skeleton; Memory Management; Parallel Language; Parallel Processing; Structured Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
Conference_Location :
Pisa
ISSN :
1066-6192
Print_ISBN :
978-1-4244-5672-7
Electronic_ISBN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2010.71
Filename :
5452453
Link To Document :
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