Paper Info
Title
A User-Based Model of Grid Computing Workloads
Abstract
A computational grid is a large scale federated infrastructure where users execute several types of applications with different submission rates. On the evaluation of solutions for grids, there are not much effort on using realistic workloads for experiments, and most of the time users' activities and applications are not well represented. In this work, we propose a user-based grid workload model which is based on clustering users according to their behaviour in the system and their applications. The results show that according to a new metric proposed, the model quality increases when using clustering and extracting models for the group of users with similar behaviour. Moreover, we compare our user-based modelling with a state-of-the-art system-based modelling approach. We show that by using our user-based model the system load can be easily changed by varying the number of users in the grid, creating different evaluation scenarios without affecting individual users' behaviour. On the other hand, varying the number of users in the system-based model does not affect the system load and change the way individual user's behave on the system, which can result in unrealistic users' activities.
Year
DOI
Venue
2012
10.1109/Grid.2012.13
GRID
Keywords
Field
DocType
system load,user-based modelling,system-based model,model quality increase,user-based model,similar behaviour,clustering user,user-based grid workload model,individual user,computational grid,grid computing workloads,probability distribution,data models,grid computing,data mining,computational modeling,measurement
Data modeling,Grid computing,Workload,Computer science,Data grid,Real-time computing,Model quality,Probability distribution,Cluster analysis,Grid,Distributed computing
Conference
Citations 
PageRank 
References 
3
0.38
15
Authors
2
Name
Order
Citations
PageRank
Marcus Carvalho1545.16
Francisco Brasileiro238827.99