Name
Abstract | ||
|---|---|---|
The increasing demand for high performance computing resources has led to new forms of collaboration of distributed systems, such as grid computing systems. Moreover, the need for interoperability among different grid systems through the use of common protocols and standards has become increased in the last few years. In this paper we describe and evaluate scheduling techniques for multiple grid scenarios. In particular, they consist of the proposed ''bestBrokerRank'' broker selection policy and two different variants. The first one uses the resource information in aggregated forms as input, and the second one also uses the broker average bounded slowdown as a dynamic performance metric. From our evaluations performed with simulation tools, we state that, although the aggregation algorithms lose resource information accuracy, the broker selection policies using aggregated resource data do not penalize their performance significantly. Moreover, we show that the best performance results are obtained with the coordinated policy using dynamic performance information, in addition to aggregated resource information. Therefore, we conclude that delegating part of the scheduling responsibilities to the underlying scheduling layers promotes separation of concerns and is a good way to balance the performance among the different grid systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.future.2009.07.009 | Future Generation Comp. Syst. |
Keywords | Field | DocType |
resource management,broker selection policy,high performance computing resource,aggregated resource information,job scheduling,grid computing,dynamic performance metric,grid broker selection strategy,best performance result,resource data aggregation,different grid system,broker selection,grid computing system,aggregated resource data,multiple grid scenario,dynamic performance information,distributed system,resource manager,data aggregation,separation of concern | Resource management,Grid computing,Interoperability,Scheduling (computing),Computer science,Performance metric,Separation of concerns,Job scheduler,Grid,Distributed computing | Journal |
Volume | Issue | ISSN |
26 | 1 | Future Generation Computer Systems |
Citations | PageRank | References |
26 | 1.00 | 47 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Rodero | 1 | 452 | 37.95 |
| Francesc Guim | 2 | 105 | 9.24 |
| Julita Corbalan | 3 | 174 | 12.00 |
| Liana Fong | 4 | 264 | 23.53 |
| S. Masoud Sadjadi | 5 | 282 | 20.78 |