A Framework of Scientific Workflow Management Systems for Multi-tenant Cloud Orchestration Environment

The volumetric growth of data complexity is increasing day by day. The computational world is becoming massive and needs scalable and efficient systems. Data management is an important stage to accelerate the petabytes processing. Such environment requires scientific work flows to compose and manage those volumetric data sets. Scientific Workflow is different than general workflow. It deals with scheduling, algorithms, data flow, process, operational procedures and specially data intensive systems. The popularity of Software as a Service (SaaS) is due to the feature of multi-tenancy. The study of scientific workflow in the context of multi-tenant cloud orchestration environment provides control flow, data flow, and new requirements of system development and discovery of new services. We explore a framework of scientific workflow for multi-tenant cloud orchestration environment that deals with semantic-based workflow as well as policy-based workflow.