25 citations
- Lawrence Berkeley National LaboratoryUS7 papers
- University of California San DiegoUS6 papers
- University of California, BerkeleyUS5 papers
- California Institute of TechnologyUS4 papers
- Argonne National LaboratoryUS1 paper
- Fermi National Accelerator LaboratoryUS1 paper
- Middlebury CollegeUS1 paper
- San Diego Center for Spinal DisordersUS1 paper
- San Diego Supercomputer CenterUS1 paper
- UC San Diego Health SystemUS1 paper
- University of Maryland, College ParkUS1 paper
- University of Nebraska–LincolnUS1 paper
6 papers · 1 filter
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…
Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations
Frank Würthwein, Jonathan Guiang, Aashay Arora +10
Unique scientific instruments designed and operated by large global collaborations are expected to produce Exabyte-scale data volumes per year by 2030. These collaborations depend…
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…
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…
Software-Defined Network for End-to-end Networked Science at the Exascale
Inder Monga, Chin Guok, John MacAuley +7
Domain science applications and workflow processes are currently forced to view the network as an opaque infrastructure into which they inject data and hope that it emerges at the…