A Security Aware Resource Allocation Model for Cloud Based Healthcare Workflows

Objective: Cloud Computing is the new model in distributed computing that provides Software as a service (SaaS), Infrastructure as a service (IaaS), and Platform as a service (PaaS). Researchers utilize the services of cloud for running large scale data and other computation intensive applications like healthcare workflows. The major issue arises while allocating the cloud resources to the task in the workflows, in this paper an efficient scheduling method for work flow has been proposed. Analysis: The applications are modeled as workflows which include dependent tasks that are represented as a Directed Acyclic Graph (DAG) considering every node as a job. The known algorithms cannot solve the problem of resource allocation, and are categorized as NP hard problem. Findings: The proposed hybrid workflow scheduling algorithm which is the combination of Heterogeneous Earliest Finish Time (HEFT) and Security Aware and Budget Aware (SABA) algorithm helps to schedule the workflow efficiently with reduced makespan and required security services.