modeling and simulation of large scale Cloud computing environments
a self-contained platform for modeling Clouds, service brokers, provisioning, and allocations policies
support for simulation of network connections among the simulated system elements
facility for simulation of federated Cloud environment that inter-networks resources from both private and public domains
availability of a virtualization engine that aids in creation and management of multiple, independent, and co-hosted virtualized services on a data center node
flexibility to switch between space-shared and time-shared allocation of processing cores to virtualized services
Our proposed intra- and inter-cluster scheduling algorithms
reduce energy consumption by turning off redundant servers
and keeping under-utilized clusters in sleep mode. Preference
in migrating communicating VMs to same cluster ensures
bandwidth utilization and reduces dealy for communication.
The efficiency and the stability of our algorithms are verified
by simulating it inside a data center using CloudSim toolkit