Name
Abstract | ||
|---|---|---|
Grid computing is a new paradigm that enables the distributed coordination of resources and services which are geographically dispersed, span multiple trust domains and are heterogeneous. Network infrastructure monitoring, while vital for activities such as service selection, exhibits inherent scalability problems: in principle, in a Grid composed of n resources, we need to keep record of n2 end-to-end paths. We introduce an approach to network monitoring that takes into account scalability: a Grid is partitioned into domains, and network monitoring is limited to the measurement of domain-to-domain connectivity. However, partitions must be consistent with network performance, since we expect that an observed network performance between domains is representative of the performance between the Grid Services included into domains. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1028493.1028501 | Middleware for Grid Computing |
Keywords | Field | DocType |
grid computing,account scalability,grid services,observed network performance,network monitoring,inherent scalability problem,network performance,network infrastructure monitoring,n resource,domain-to-domain connectivity,heterogeneous network | Network service,Grid computing,Network information system,Computer science,Data grid,Computer network,Network simulation,Semantic grid,Network monitoring,Distributed computing,Intelligent computer network | Conference |
ISBN | Citations | PageRank |
1-58113-950-0 | 3 | 0.43 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Andreozzi | 1 | 109 | 10.46 |
| Augusto Ciuffoletti | 2 | 139 | 17.40 |
| Antonia Ghiselli | 3 | 84 | 7.41 |