The high demand for largely scalable systems is constantly rising as well as the amount of data that has to be processed. Traditional system approaches like scale-up or scale-out are reaching their limits more and more often. Disaggregated systems with their very high scalability offer a solution. However, they come at the cost of a lot of data transfer via network. We demonstrate a possibility to optimize for redundant data access through our pipeline grouping approach in disaggregated systems.