Buffers with Benefits: Elastic Memory Hierarchies for Memory-Intensive Applications

• Applicant: Professor Dr. Maximilian Schüle
• Subject Area: Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 568456166

The overall objective of this project is to enable in-memory database systems to benefit from an elastic memory hierarchy. This approach is disruptive not only due to its inclusion of disruptive memory technologies such as NVRAM, HBM, PIM and NMC components, but especially due to a selection process of appropriate components and technologies used in the elastic memory hierarchy such as memory compression, GPU acceleration, or the use of remote memory resources. The actual configuration of the memory hierarchy for a given use case will be based on a multi-criterial analysis of tradeoffs between various non-functional parameters of a system. Here, we anticipate that the system follows to the principles of Autonomic Computing: Being adaptive to non-functional properties and to changes in the availability of the memory hierarchy components.

• DFG Programme: Priority Programmes
• Subproject of: SPP 2377: Disruptive Main-Memory Technologies