DynamicCloudSim: Simulating heterogeneity in computational clouds
Affiliation:
1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2. College of electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China;3. The Department of Electrical and Computer Engineering, Concordia University, Montreal H3G 1M8, Canada;1. Heidelberg Collaboratory for Image Processing, Heidelberg University, Heidelberg, Germany;2. Image and Pattern Analysis Group, Heidelberg University, Heidelberg, Germany;1. Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia;2. Institute of Informatics and Telecommunications, NCSR “Demokritos”, Athens, Greece
Abstract:
Simulation has become a commonly employed first step in evaluating novel approaches towards resource allocation and task scheduling on distributed architectures. However, existing simulators fall short in their modeling of the instability common to shared computational infrastructure, such as public clouds. In this work, we present DynamicCloudSim which extends the popular simulation toolkit CloudSim with several factors of instability, including inhomogeneity and dynamic changes of performance at runtime as well as failures during task execution. As a validation of the introduced functionality, we simulate the impact of instability on scientific workflow scheduling by assessing and comparing the performance of four schedulers in the course of several experiments both in simulation and on real cloud infrastructure. Results indicate that our model seems to adequately capture the most important aspects of cloud performance instability. The source code of DynamicCloudSim and the examined schedulers is available at https://code.google.com/p/dynamiccloudsim/.
