SolidSessionBench: Realistic Query Sequences for User-Oriented Decentralized Environments

To build user-facing applications on decentralized data, clientside decentralized query engines offer a natural integration point. However, optimizing queries in these environments is challenging due to a lack of prior knowledge regarding data distribution and availability. By repeatedly interacting with the same engine from the same user, applications allow the engine to overcome this knowledge gap by exploiting patterns in previously issued queries. However, evaluating these techniques accurately is difficult because public query logs are scarce, and existing benchmarks rely on static, template-based structures that fail to capture realistic behavioral variability. To fill this gap, we introduce an evidence-based simulation of client query usage patterns as a reusable benchmark enabling realistic and reproducible evaluation of client-side optimization techniques. We demonstrate its utility by evaluating clientside caching strategies for link traversal query processing. By comparing our sequence-based approach against traditional, non-sequence-based workloads, we highlight how realistic sequence simulation heavily influences performance evaluations. Ultimately, our benchmark reveals important performance dynamics, such as the impact of session switching and query refinement, that traditional workloads do not. We conclude that modeling realistic user interactions provides an essential foundation for accurately evaluating client-side optimization techniques in decentralized environments.

@inproceedings{eschauzier_iswc_resource_solidsessionbench_2026,
  author = {Eschauzier, Ruben and Taelman, Ruben},
  title = {SolidSessionBench: Realistic Query Sequences for User-Oriented Decentralized Environments},
  booktitle = {Proceedings of the 25th International Semantic Web Conference},
  year = {2026},
  month = oct,
  url = {https://rubeneschauzier.github.io/simulated-query-sequence-paper/build/main.pdf}
}