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Optimizing cloud provisioning for scientific workflow applications is a challenging problem, since the workflows generally contain dependency between tasks and require specific deadlines. Usually, cloud providers offer many options to the consumers. These options include the number of virtual machines, the type of each virtual machine and the purchasing method for each machine. Currently, cloud provisioning...
One of the most important characteristics of a cloud system is elasticity in resources provisioning. Cloud fabric often composes of massive and heterogeneous types of resources allowing the sciences and engineering applications in many domains to collaboratively utilize the infrastructure. As the cloud systems are designed for a large number of users, a large volume of data, and various types of applications,...
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.