Title
Performability Assessment of a Government Process in the Cloud
Abstract
Governments can take advantage of cloud computing to deal with the pressures as well as challenges to reduce costs and improve service performance. In this context, the joint evaluation of performance and dependability (i.e., Performability) is very important, and stochastic modeling provides a prominent mechanism for assessing government services in the cloud and evaluation of distinct scenarios. This work proposes an approach based on stochastic Petri nets (SPN) for performability evaluation of Taxpayer Assistance Center (TAC) in the cloud. Performability techniques are considered, as failures in the process are taken into account and the respective impact in performance is analyzed. Results are presented to demonstrate the feasibility of the proposed approach, and they indicate that failures should not be neglected.
Year
DOI
Venue
2015
10.1109/SMC.2015.28
2015 IEEE International Conference on Systems, Man, and Cybernetics
Keywords
Field
DocType
stochastic Petri nets,government process,performability evaluation,cloud computing,e-government
Dependability,Taxpayer,Petri net,Unified Modeling Language,Computer science,Stochastic process,Stochastic Petri net,Distributed computing,Cloud computing,Government
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
15
6