Title
Trading Cycles for Information: Using Replication to Schedule Bag-of-Tasks Applications on Computational Grids
Abstract
Scheduling independent tasks on heterogeneous environments, like grids, is not trivial. To make a good scheduling plan on this kind of environments, the scheduler usually needs some information such as host speed, host load, and task size. This kind of information is not always available and is often difficult to obtain. In this paper we propose a scheduling approach that does not use any kind of information but still delivers good performance. Our approach uses task replication to cope with the dynamic and heterogeneous nature of grids without depending on any information about machines or tasks. Our results show that task replication can deliver good and stable performance at the expense of additional resource consumption. By limiting replication, however, additional resource consumption can be controlled with little effect on performance.
Year
DOI
Venue
2003
10.1007/978-3-540-45209-6_26
LECTURE NOTES IN COMPUTER SCIENCE
Field
DocType
Volume
Resource consumption,Fixed-priority pre-emptive scheduling,Scheduling (computing),Computer science,Bag of tasks,Limiting,Grid resources,Distributed computing,OurGrid
Conference
2790
ISSN
Citations 
PageRank 
0302-9743
89
4.35
References 
Authors
14
3
Name
Order
Citations
PageRank
Daniel Paranhos Da Silva11437.25
Cirne, Walfredo2139580.29
Francisco Vilar Brasileiro372147.10