Analysis of Workflow Execution in Cloud

Abstract

However, it is still a challenge to conduct scientific workflow executions in an energy-aware fashion across cloud platforms
or even inside a cloud platform, since the cloud platform expansion will make the energy consumption a big concern. In
this paper, we propose an Energy-aware Resource Allocation method, named En-Real, to address the above challenge.
Basically, we leverage the dynamic deployment of virtual machines for scientific workflow executions. Specifically, an
energy consumption model is presented for applications deployed across cloud computing platforms, and a corresponding
energy-aware resource allocation algorithm is proposed for virtual machine scheduling to accomplish scientific workflow
executions. We can able to be monitoring the system workflow via cloud. We can perform most of the operations through
cloud.