Abstract
AbstractThe Use of Cloud computing for solving complex scientific workflow applications has become very popular nowadays. The cloud infrastructure is equipped with elastic, heterogeneous and cost-efficient resource provision features. It enhances the computing by offering user an on-demand services through Internet. Scheduling these workflow applications under user-defined budget constraint is one of the main challenge in cloud environment. Also taking failure of computing resource into consideration, it becomes imperative to generate reliable schedule while meeting other scheduling attributes like cost, time and deadline. This paper presents a hybrid wind-driven optimization algorithm (HWDO) to generate reliable workflow schedule by maintaining budget within specified limit. The algorithm is simulated using WorkflowSim with real-world scientific applications. The results achieved substantiate 9–17% reliable schedule than other algorithms by meeting the budget constraint. KeywordsCloud computingWorkflow schedulingWind-driven optimizationReliabilityBudgetFailure factor
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.
