Cloud Data centers aim to provide reliable, sustainable and scalable services for all kinds of applications. Resource scheduling is one of keys to cloud services. To model and evaluate different scheduling policies and algorithms, we propose FlexCloud, a flexible and scalable simulator that enables users to simulate the process of initializing cloud data centers, allocating virtual machine requests and providing performance evaluation for various scheduling algorithms. FlexCloud can be run on a single computer with JVM to simulate large scale cloud environments with focus on infrastructure as a service; adopts agile design patterns to assure the flexibility and extensibility; models virtual machine migrations which is lack in the existing tools; provides user-friendly interfaces for customized configurations and replaying. Comparing to existing simulators, FlexCloud has combined features for supporting public cloud providers, load-balance and energy-efficiency scheduling. FlexCloud has advantage in computing time and memory consumption to support largescale simulations. The detailed design of FlexCloud is introduced and performance evaluation is provided.
Xu REF proposed a flexible and light-weight simulator, namely FlexCloud, for testing cloud resource scheduling algorithms.
FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)
Computer Science