activity
20192021
most citedArtificial Intelligence at the Edge

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI20212 cited

PL2: Towards Predictable Low Latency in Rack-Scale Networks

Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh +4

High performance rack-scale offerings package disaggregated pools of compute, memory and storage hardware in a single rack to run diverse workloads with varying requirements, inclu…

cs.CY20207 cited

Infrastructure for Artificial Intelligence, Quantum and High Performance Computing

William Gropp, Sujata Banerjee, Ian Foster

High Performance Computing (HPC), Artificial Intelligence (AI)/Machine Learning (ML), and Quantum Computing (QC) and communications offer immense opportunities for innovation and i…

cs.CY2020

Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry

Sujata Banerjee, Yiling Chen, Kobbi Nissim +3

We are entering a new "data everywhere-anytime" era that pivots us from being tracked online to continuous tracking as we move through our everyday lives. We have smart devices in…

cs.CY20208 cited

Artificial Intelligence at the Edge

Elisa Bertino, Sujata Banerjee

The Internet of Things (IoT) and edge computing applications aim to support a variety of societal needs, including the global pandemic situation that the entire world is currently…

cs.DC20192 cited

SNF: Serverless Network Functions

Arjun Singhvi, Junaid Khalid, Aditya Akella +1

It is increasingly common to outsource network functions (NFs) to the cloud. However, no cloud providers offer NFs-as-a-Service (NFaaS) that allows users to run custom NFs. Our wor…