Application &Analysis of Word Flow CountonVariousWorkflow Management in Cloud Environment& Big Data

Abstract

Workflow Management System (WfMs)become the heart of today’s business processes, which performs different set of tasks in a predefined order. WfMs defines, executes and automates various sets ofprocesses. The goal of improving organization’s efficiency, responsiveness and profitability are achieved by adapting WfMs. Its primary concern is to automate applications which require manual as well as machine dependent activities. In this paper we have discussed the various tools for generating WfMs and these tools have  comparedon the basis of operating system, databases, architecture and environment. The study  compares the performance of Pegasus and Oozie WfMswith the help of a word count use case.