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About

Arie Shoshani is a pioneering researcher in scientific data management, whose work has fundamentally shaped how massive datasets from experimental physics are stored, organized, and accessed. His primary research areas include tertiary storage systems, multidimensional data indexing, and access coordination for large-scale scientific applications. Shoshani's major contributions center on developing efficient methods for managing petabytes of data on robotic tape systems—a critical challenge for fields like High Energy Physics (HEP). His seminal 2003 paper on "Multidimensional indexing and query coordination for tertiary storage management" (65 citations) introduced innovative techniques for organizing and retrieving data from slow, hierarchical storage without compromising query performance. He also led the development of the STAGS (Storage Access Coordination System), which intelligently coordinates the caching of file bundles from tape to disk, dramatically improving data access times for HEP experiments generating hundreds of terabytes annually. With key works spanning from 1995 to 2003, Shoshani's research remains foundational for modern scientific data infrastructures, enabling researchers to efficiently analyze experimental data that would otherwise be inaccessible due to storage bottlenecks.