Research on Workflow Scheduling Algorithms in the Cloud - Process-Aware Systems - page 43

The main features of CloudSim are following:

1. Support for modeling and simulation of large scale Cloud computing data centers;
2. A self-contained platform for modeling Clouds, service brokers, provisioning, and
allocation polices;
3. Support for simulation of network connections among the simulated system ele-
ments;
4. Facility for simulation of federated Cloud environment that inter-networks re-
sources form both private and public domains.

Above these, the researchers can evaluate the hypothesis prior to a real deployment in
an environment with CloudSim, where one can reproduce tests, while they can also
test the new developmental methodologies and policies in cloud computing environ-
ment. CloudSim can bring us some benefits: ( ) to test the performance of their

provisioning and service delivery policies in a repeatable and controllable environ-
ment free of cost; and (

Ⅰ

) to tune the performance bottlenecks before real-world dep-
loyment on commercial Clouds.

Ⅱ

WorkflowSim 2

4.2

WorkflowSim extends the CloudSim simulation toolkit by introducing the support of
workflow preparation and execution with an implementation of a stack of workflow
parser, workflow engine and job scheduler. It supports a multi-layered model of fail-
ures and delays occurring in the various levels of the workflow management systems.
The architecture of WorkflowSim is shown in Figure 1.

Submit Host

Execute Site

Workflow
Mapper

Failure
Generator

Failure Monito r

Clustering Engine

Failure
Records

Worker
Nodes

Workflow Engine

Workflow
Scheduler

Jobs

Remote
Scheduler

Local
Queue

Jobs

Fig. 1. WorkflowSim Overview. The area surrounded by dotted lines is supported by CloudSim.
2 http://www.workflowsim.org