Abstract | ||
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The capacity to ensure the seamless mobility with the end-to-end quality of service (QoS) represents a vital criterion of success in the grid use. In this paper we hence posit a method of monitoring interconnection network of the grid (cluster, local grid and aggregate grids) in order to control its QoS. Such monitoring can guarantee a persistent control of the system state of health, a diagnostic and an optimization pertinent enough for better real time exploitation. A better exploitation is synonymous with identifying networking problems that affect the application domain. This can be carried out by control measurements as well as mono and multi scale for such metrics as: the bandwidth, CPU speed and load. The solution proposed, which is a management generic solution independently from the technologies, aims to automate human expertise and thereby more autonomy. |
Year | DOI | Venue |
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2008 | 10.1109/ICCCN.2008.ECP.160 | ICCCN |
Keywords | Field | DocType |
quality of service,unified modeling language,computer integrated manufacturing,real time,real time systems,bandwidth,qos,grid,artificial neural networks | Computer science,Quality of service,Computer-integrated manufacturing,Computer network,Real-time computing,Bandwidth (signal processing),Condition monitoring,Application domain,Interconnection,Instructions per second,Grid,Distributed computing | Conference |
ISSN | ISBN | Citations |
1095-2055 E-ISBN : 978-1-4244-2390-3 | 978-1-4244-2390-3 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
I. Elloumi | 1 | 1 | 1.50 |
Sahobimaholy Ravelomanana | 2 | 6 | 1.26 |
Manel Jelliti | 3 | 1 | 1.04 |
Michelle Sibilla | 4 | 29 | 9.07 |
Thierry Desprats | 5 | 71 | 16.66 |