25 citations · 53 across the 9 of their papers we have counts for
9 papers
Effectiveness and predictability of in-network storage cache for scientific workflows
Caitlin Sim, Kesheng Wu, Alex Sim +6
Large scientific collaborations often have multiple scientists accessing the same set of files while doing different analyses, which create repeated accesses to the large amounts o…
Analyzing Transatlantic Network Traffic over Scientific Data Caches
Z. Deng, A. Sim, K. Wu +6
Large scientific collaborations often share huge volumes of data around the world. Consequently a significant amount of network bandwidth is needed for data replication and data ac…
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
Julian Bellavita, Alex Sim, Kesheng Wu +4
The XRootD system is used to transfer, store, and cache large datasets from high-energy physics (HEP). In this study we focus on its capability as distributed on-demand storage cac…
Access Trends of In-network Cache for Scientific Data
Ruize Han, Alex Sim, Kesheng Wu +6
Scientific collaborations are increasingly relying on large volumes of data for their work and many of them employ tiered systems to replicate the data to their worldwide user comm…
Quantum Networks for High Energy Physics
Andrei Derevianko, Eden Figueroa, Julián MartÍnez-Rincón +12
Quantum networks of quantum objects promise to be exponentially more powerful than the objects considered independently. To live up to this promise will require the development of…
Analyzing scientific data sharing patterns for in-network data caching
Elizabeth Copps, Huiyi Zhang, Alex Sim +6
The volume of data moving through a network increases with new scientific experiments and simulations. Network bandwidth requirements also increase proportionally to deliver data w…