Name
Abstract | ||
|---|---|---|
Bag-of-Tasks applications are parallel applications composed of independent tasks. Examples of Bag-of-Tasks (BoT) applications include Monte Carlo simulations, massive searches (such as key breaking), image manipulation applications and data mining algorithms. This paper analyzes the scalability of Bag-of-Tasks applications running on master-slave platforms and proposes a scalability-related measure dubbed input file affinity. In this work, we also illustrate how the input file affinity, which is a characteristic of an application, can be used to improve the scalability of Bag-of-Tasks applications running on master-slave platforms. The input file affinity was considered in a new scheduling algorithm dubbed Dynamic Clustering, which is oblivious to task execution times. We compare the scalability of the Dynamic Clustering algorithm to several other algorithms, oblivious and non-oblivious to task execution times, proposed in the literature. We show in this paper that, in several situations, the oblivious algorithm Dynamic Clustering has scalability performance comparable to non-oblivious algorithms, which is remarkable considering that our oblivious algorithm uses much less information to schedule tasks. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.parco.2008.09.013 | Parallel Computing |
Keywords | Field | DocType |
non-oblivious algorithm,input file affinity,scalability analysis,dynamic clustering,improving scalability,dynamic clustering algorithm,master-slave platform,bag-of-tasks application,new scheduling algorithm,data mining algorithm,oblivious algorithm,task execution time,bag-of-tasks applications,master–slave platforms,computer science,monte carlo simulation,scheduling algorithm | Image manipulation,Monte Carlo method,Dynamic clustering,Computer science,Scheduling (computing),Parallel computing,Theoretical computer science,Data mining algorithm,Bag of tasks,Master/slave,Scalability | Journal |
Volume | Issue | ISSN |
35 | 2 | Parallel Computing |
Citations | PageRank | References |
15 | 0.57 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabrício A. B. da Silva | 1 | 40 | 5.85 |
| Hermes Senger | 2 | 64 | 10.35 |