Paper Info
Title
Scalability analysis of embarassingly parallel applications on large clusters
Abstract
This work presents a scalability analysis of embarrassingly parallel applications running on cluster and multi-cluster machines. Several applications can be included in this category. Examples are Bag-of-tasks (BoT) applications and some classes of online web services, such as index processing in online web search. The analysis presented here is divided in two parts: first, the impact of front end topology on scalability is assessed through a lower bound analysis. In a second step several task mapping strategies are compared from the scalability standpoint.
Year
DOI
Venue
2010
10.1109/IPDPSW.2010.5470724
Parallel & Distributed Processing, Workshops and Phd Forum
Keywords
Field
DocType
Web services,parallel processing,topology,bag-of-tasks applications,cluster machines,embarassingly parallel applications,front end topology,index processing,lower bound analysis,multicluster machines,online Web services,scalability analysis,task mapping strategies,Cluster Computation,Embarassingly Parallel Applications,Scalability
Front and back ends,Cluster (physics),Upper and lower bounds,Computer science,Task mapping,Parallel computing,Embarrassingly parallel,Master/slave,Web service,Scalability,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-6533-0
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Fabrício A. B. da Silva1405.85
Hermes Senger26410.35