Bahl, Paramvir

RADAR: an in-building RF-based user location and tracking system

Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064)

Indoor and Outdoor Localization TechnologiesHuman Mobility and Location-Based Analysis

Cited by 8,380

The case for vm-based cloudlets in mobile computing

Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing

IoT and Edge/Fog ComputingCloud Computing and Remote Desktop Technologies

Cited by 3,660

MAUI: making smartphones last longer with code offload

Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., & Bahl, P. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services

Green IT and SustainabilityParallel Computing and Optimization Techniques

Cited by 2,281

Real-Time Video Analytics: The Killer App for Edge Computing

Ananthanarayanan, G., Bahl, P., Bodik, P., Chintalapudi, K., Philipose, M., Ravindranath, L., & Sinha, S. (2017) · Computer

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 496

Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices

Chen, T. Y.-H., Ravindranath, L., Deng, S., Bahl, P., & Balakrishnan, H. (2015) · Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 358

VideoEdge: Processing Camera Streams using Hierarchical Clusters

Hung, C.-C., Ananthanarayanan, G., Bodik, P., Golubchik, L., Yu, M., Bahl, P., & Philipose, M. (2018) · 2018 IEEE/ACM Symposium on Edge Computing (SEC)

IoT and Edge/Fog ComputingAdvanced Database Systems and Queries

Cited by 287

Low Latency Geo-distributed Data Analytics

Pu, Q., Ananthanarayanan, G., Bodik, P., Kandula, S., Akella, A., Bahl, P., & Stoica, I. (2015) · Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 246

Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments

Grassi, G., Jamieson, K., Bahl, P., & Pau, G. (2017) · Proceedings of the Second ACM/IEEE Symposium on Edge Computing

Smart Parking Systems ResearchVideo Surveillance and Tracking Methods

Cited by 73