Paper Info
Title
Ramps: Next Generation Platform for Real Time and Resilient IoT Analytics using MmWave and Programmable Switches
Abstract
ABSTRACTReal time IoT analytics remains a challenging problem due to the distributed nature of the analytics platform (comprising sensors, edge server(s), and actuators), which raises three fundamental challenges of (i) how to map computations to a distributed and heterogeneous compute fabric, (ii) how to communicate multi-Gbps of data wirelessly between sensors and edge servers for high analytics accuracy, and (iii) how to effectively share the communication channel between multiple sensor-edge network streams. To meet these challenges, we envision an analytics platform that will tightly couple the application stack, the network stack, and emerging networking technologies, namely mmWave wireless and programmable switches, to meet both the computation and communication demands for real time IoT analytics.
Year
DOI
Venue
2021
10.1145/3493652.3505631
Middleware Conference
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Vishal Shrivastav110.75
Dimitrios Koutsonikolas202.03
Saurabh Bagchi32022144.72