Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
