This website has been inspired by two projects aiming at organizing other kinds of data to make it more accessible to researchers: the ALPS Website referencing hundreds of papers in the field of learning-augmented algorithms, and the Scheduling Zoo allowing to find results about specific problems in theoretical scheduling.

Related resources include of course surveys on similar datasets, among which we can cite:

• A recent survey on workload datasets, in more general contexts, whose authors maintain a list of datasets on GitHub.

We also link several projects aiming at collecting various workload datasets and still updated. These initiatives host and regroup datasets collected using the same tool, converted to the same format or published on the same location. The goal of this page is to gather such relevant information in the same place and make it easily searchable, without aiming at hosting actual datasets.

• The Parallel Workload Archive host tens of datasets under the common Standard Workload Format.
• The Grid Workload Archive host several datasets under the common Grid Workload Format.
• The Darshan project hosts several workload datasets collected using the same Darshan tool.
• The JSSPP workshop hosts several workload datasets submitted to this venue.