Abstract: Systems and methods receive an asset identification and one or more criterion to at least one of a locale, a market, a target, or an experiment and process a graph having a plurality of sub-graphs to define an asset having one or more desired variants. The asset is then published having the one or more desired variants. Multiple entities are represented as a single entity, which can be used for localization of the asset (e.g., image, video, custom data) or pages. By associating one entity (e.g., an image) across all variations of the entity, the needed storage space for the plurality of assets (e.g., images or videos) is reduced.

Abstract: Systems and methods receive an asset identification and one or more criterion to at least one of a locale, a market, a target, or an experiment and process a graph having a plurality of sub-graphs to define an asset having one or more desired variants. The asset is then published having the one or more desired variants. Multiple entities are represented as a single entity, which can be used for localization of the asset (e.g., image, video, custom data) or pages. By associating one entity (e.g., an image) across all variations of the entity, the needed storage space for the plurality of assets (e.g., images or videos) is reduced.

Abstract: Some examples relate to prefetching data in a distributed storage system. In an example, a first storage node may receive I/O requests sent by a host system, for sequential data of a storage volume distributed across a plurality of storage nodes. The first storage node may determine whether the host system is aware or unaware of layout information of the storage volume. If the host system is unware, the first storage node may prefetch the sequential data of the storage volume from other nodes of the plurality of storage nodes. If the host system is aware, the first storage node may indicate to a second storage node that the I/O requests by the host system are for the sequential data of the storage volume.