As interest in adopting Cloud computing for various applications is rapidly growing, it is important to understand how these applications and systems will perform when deployed on Clouds. Due to the scale and complexity of shared resources, it is often hard to analyze the performance of new scheduling and provisioning algorithms on actual Cloud testbeds. Therefore, simulation tools are becoming more and more important in the evaluation of the Cloud computing model. Simulation tools allow researchers to rapidly evaluate the efficiency, performance and reliability of their new algorithms on a large heterogeneous Cloud infrastructure. However, current solutions lack either advanced application models such as message passing applications and workflows or scalable network model of data center. To fill this gap, we have extended a popular Cloud simulator (CloudSim) with a scalable network and generalized application model, which allows more accurate evaluation of scheduling and resource provisioning policies to optimize the performance of a Cloud infrastructure.
History
Publication title
Proceedings of the 4th IEEE/ACM International Conference on Utility and Cloud Computing
Editors
R Buyya, S Pallickara, G Fox
Pagination
105-113
ISBN
978-1-4577-2116-8
Department/School
School of Information and Communication Technology
Publisher
Institute of Electrical and Electronics Engineers
Place of publication
United States of America
Event title
4th IEEE/ACM International Conference on Utility and Cloud Computing
Event Venue
Melbourne, Australia
Date of Event (Start Date)
2011-12-05
Date of Event (End Date)
2011-12-07
Rights statement
Copyright 2011 IEEE
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified