File system metadata is the data in charge of maintaining namespace, permission semantics
and location of file data blocks. Operations on the metadata can account for up to 80% of …

Scientific communities are increasingly adopting deep learning (DL) models in their
applications to accelerate scientific discovery processes. However, with rapid growth in the …

Digital twin railway is a pivotal foundation for the intelligent construction and maintenance of
railway engineering projects within extensive open spaces. Its essence is the integrated …

Currently, big sensor data arise in a wide spectrum of Industry 4.0, Internet of Things, and
Smart City applications. In such subject domains, sensors tend to have a high frequency and …

Scientific applications often require high-bandwidth shared storage to perform joint
simulations and collaborative data analytics. Shared memory pools provide a chance to …

In recent years, big data has been one of the hottest development directions in the
information field. With the development of artificial intelligence technology, mobile smart …

This paper presents Mosiqs, a persistent memory object storage framework with metadata
indexing and querying for scientific computing. We design Mosiqs based on the key idea …

Affix-oriented metadata search is one of the essential fuzzy search capabilities that allow
users to find data of interest in their voluminous data set with incomplete query conditions …

Increasing data volumes, particularly in science and engineering, has resulted in the
widespread adoption of parallel and distributed file systems for data storage and access …

While it is now routine to search for data on a personal computer or discover data online,
there is no such equivalent method for discovering data on large parallel and distributed file …