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The data scale, science analysis and processing complexity in scientific community are growing exponentially in the "big data" era. Cloud computing paradigm has been widely adopted to provide unprecedented scalability and resources on demand, while scientific workflow management systems (SWFMSs) have been proven essential to scientific computing and services computing. Uniting the advantages...
Scientific workflow management systems have been around for many years and provide essential support such as management of data and task dependencies, job scheduling and execution, provenance tracking, etc. to scientific computing. While we are entering into a """"big data"""" era, it is necessary for scientific workflow systems to integrate with Cloud platforms...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.