* [Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters](http://www.cs.duke.edu/courses/cps399.28/current/papers/sigmod07-YangDasdanEtAl-map_reduce_merge.pdf)
* [MDCC: Multi-Data Center Consistency](https://amplab.cs.berkeley.edu/wp-content/uploads/2013/03/mdcc-eurosys13.pdf)
* [The Dangers of Replication and a Solution](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.21.2707&rep=rep1&type=pdf)
* [Towards a Next Generation Data Center Architecture: Scalability and Commoditization](http://research.microsoft.com/pubs/79348/presto27-greenberg.pdf)
* [GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered (2026)](https://arxiv.org/abs/2603.02081) by Jiale Lao and Immanuel Trummer
GenDB uses an LLM-powered agent to synthesize query execution code tailored to particular data, workloads, and hardware, making the case for query processing that is generated rather than maintained as a general-purpose engine.
* [Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines (2026)](https://arxiv.org/abs/2603.02001) by Johannes Wehrstein, Timo Eckmann, Matthias Jasny, and Carsten Binnig
This paper presents an autonomous pipeline that synthesizes a database engine for a fixed OLAP workload, using iterative performance evaluation and validation to turn LLM code generation into a high-performance system-building process.
* :scroll: [A Solution to the Network Challenges of Data Recovery in Erasure-coded Distributed Storage Systems: A Study on the Facebook Warehouse Cluster](network-challenges-of-data-recovery-in-erasure-coded-distributed-storage-systems.pdf)
* :scroll: [Freenet: A Distributed Anonymous Information Storage and Retrieval System](freenet-a-distributed-anonymous-information-and-retrieval-system.pdf)
* :scroll: [RADOS: A Scalable, Reliable Storage Service for Petabyte-scale Storage Clusters](rados-a-scalable-reliable-storage-service-for-petabyte-scale-storage-clusters.pdf)