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Access Trends of In-network Cache for Scientific Data. (arXiv:2205.05563v1 [cs.NI])
May 12, 2022, 1:11 a.m. | Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey Newman
cs.LG updates on arXiv.org arxiv.org
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 communities. Each user in the community often selects a
different subset of data for their analysis tasks; however, members of a
research group often are working on related research topics that require
similar data objects. Thus, there is a significant amount of data sharing
possible. In this work, we study the access …
More from arxiv.org / cs.LG updates on arXiv.org
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