Paper Info
Title
EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of Cloud computing applications.
Abstract
Cloud computing allows the deployment and delivery of application services for users worldwide. Software as a Service providers with limited upfront budget can take advantage of Cloud computing and lease the required capacity in a pay-as-you-go basis, which also enables flexible and dynamic resource allocation according to service demand. One key challenge potential Cloud customers have before renting resources is to know how their services will behave in a set of resources and the costs involved when growing and shrinking their resource pool. Most of the studies in this area rely on simulation-based experiments, which consider simplified modeling of applications and computing environment. In order to better predict service's behavior on Cloud platforms, we developed an integrated architecture that is based on both simulation and emulation. The proposed architecture, named EMUSIM, automatically extracts information from application behavior via emulation and then uses this information to generate the corresponding simulation model. We performed experiments using an image processing application as a case study and found that EMUSIM was able to accurately model such application via emulation and use the model to supply information about its potential performance in a Cloud provider. We also discuss our experience using EMUSIM for deploying applications in a real public Cloud provider. EMUSIM is based on an open source software stack and therefore it can be extended for analysis behavior of several other applications. Copyright (c) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2013
10.1002/spe.2124
SOFTWARE-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
Cloud computing,emulation,simulation,performance prediction and validation
Journal
43
Issue
ISSN
Citations 
5
0038-0644
34
PageRank 
References 
Authors
1.25
16
4
Name
Order
Citations
PageRank
Rodrigo N. Calheiros13441141.17
Marco Aurélio Stelmar Netto214511.69
César A. F. De Rose3198287.05
Rajkumar Buyya4232081340.23