Name
Abstract | ||
|---|---|---|
In large-scale service monitoring, automated dynamic (re)distribution of running monitoring applications is likely to push the limits of scalability. In the aggregation nets approach, we associate each partition of a distributed application with an autonomous agent capable of relocating the partition fully or partially, or modifying it to accommodate the dynamics of its local environment. Coordinated agent behaviour is to result in maintaining acceptable performance for the whole application. Aggregation nets is a typical Grid application that relies on the availability of distributed computing power and a network sensing infrastructure that provides information for agent decision-making. In order to evaluate our approach, we emulate aggregation nets on top the physical network simulator, Berkeley ns. This paper describes our model of aggregation nets, and its implementation. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/CCGRID.2001.923226 | Brisbane, Qld. |
Keywords | DocType | ISBN |
computer network management,digital simulation,multi-agent systems,Berkeley ns,Grid application,agent decision-making,aggregation net simulation,autonomous agents,coordinated agent behaviour,distributed application,large-scale service monitoring,monitoring applications,scalability | Conference | 0-7695-1010-8 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Poylisher | 1 | 0 | 0.34 |
| Michael Luck | 2 | 1 | 1.41 |