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A genomics research organization is building an application to analyze large datasets. Raw genomic data is stored in an Amazon S3 bucket, processed by multiple Amazon EC2 instances, and the results are stored in a separate S3 bucket. The application frequently transfers large amounts of data between the EC2 instances during analysis. The organization wants to reduce overall data transfer costs while maintaining efficient data processing. What should the solutions architect do to achieve this?