Presentation an Approach for Placement Phase in Mapping Algorithm

Abstract

The data requirements of both scientific and commercial applications have been increasing drastically in recent years. Just a couple of years ago, the data requirements for an average scientific application were measured in terabytes, whereas today we use petabytes to measure them. Moreover, these data requirements continue to increase rapidly every year, and in less than a decade they are expected to reach the exabyte (1 million terabytes) scale.. In this work, the data duplication technique has not been used by us. That’s because of increase in costs and expenses of using a cloud system.In this paper, an approach to mapping workflow tasks and data between cloud system data centers has been presented. This approach encompasses 2 phases: both of which both have been given enough input to appropriately map tasks and data between data centers in such a way that the total time for task execution and data movement becomes minimal. In other words, the goal of mentioned approach is to present a trade-off between these two Goals. Simulations have demonstrated that the said approach can fulfill stated goals effectively.

Keywords:Distributed system, scientific application, application, data requirements