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Living Edge Lab Resources

Publications

Find our published journal and conference papers and CMU Tech Reports

Videos

See demos and presentation videos describing our work

Software

Student Projects

Find the 2015-2023 student project archive in edge computing, edge-native applications, and wearable cognitive assistance from the Mobile and Pervasive Computing course (CS 15-821)

Recent Content

Papers and Reports

All Papers and Reports
Dong, Qifei, Xiangliang Chen, and Mahadev Satyanarayanan. "Creating Edge AI from Cloud-based LLMs." Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications. 2024.
Bala, M., Eiszler, T., Chen, X., Harkes, J., Blakley, J., Pillai, P., & Satyanarayanan, M. (2023, December). Democratizing Drone Autonomy via Edge Computing. In 2023 IEEE/ACM Symposium on Edge Computing (SEC) (pp. 40-52). IEEE.
Klatzky, R. L., & Satyanarayanan, M. (2023). Psychological Science Meets Wearable Cognitive Assistance. Current Directions in Psychological Science, 32(6), 446-453.
Blakley, James, Marc Meunier, Thomas Eiszler, Jan Harkes, and Mahadev Satyanarayanan. "The Just-In-Time Cloudlet." CMU Technical Report CMU-CS-23-138 (2023).
Chanh Nguyen and Mahadev Satyanarayanan. 2023. Optimizing User Experience in Wearable Cognitive Assistance through Model Specialization. In Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications (SmartWear '23). Association for Computing Machinery, New York, NY, USA, 14–20.
Shilpa George, Haithem Turki, Ziqiang Feng, Deva Ramanan, Padmanabhan Pillai, and Mahadev Satyanarayanan. 2023. Low-Bandwidth Self-Improving Transmission of Rare Training Data. In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom '23). Association for Computing Machinery, New York, NY, USA, Article 86, 1–15.
Sturzinger, Eric M., Shilpa A. George, and Mahadev Satyanarayanan. "Tactical agility for AI-enabled multi-domain operations." Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V. Vol. 12538. SPIE, 2023.
Ziqiang Feng and Mahadev Satyanarayanan. 2023. Semantic Fast-Forwarding for Video Training Set Construction. In Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile '23). Association for Computing Machinery, New York, NY, USA, 29–35.
Mahadev Satyanarayanan, Jan Harkes, and James Blakley. Towards Reproducible Execution of Closed-Source Applications from Internet Archives 2023. In Proceedings of the 2023 ACM Conference on Reproducibility and Replicability (ACM REP '23). Association for Computing Machinery, New York, NY, USA, 15–26.
Hammad, N., Eiszler, T., Gazda, R., Cartmell, J., Harpstead, E., & Hammer, J. (2023, April). V-Light: Leveraging Edge Computing For The Design of Mobile Augmented Reality Games. In Proceedings of the 18th International Conference on the Foundations of Digital Games (pp. 1-10).
Blakley, J., Haas, S., Firoiu, V., Iyer, M., Beveridge, D., Girish Narkhede, George, S., Eiszler, T., Harkes, J., Scott, J. R., & Mahadev Satyanarayanan. "Deploying Edge-based Virtual Desktop Infrastructure", Carnegie Mellon University Technical Report, CMU-CS-23-101, January 2023.
Satyanarayanan, M., Feng, Z., George, S., Harkes, J., Iyengar, R., Turki, H., & Pillai, P. (2022). Accelerating Silent Witness Storage. IEEE Micro, 42(6), 39-47.
Satyanarayanan, Mahadev, Jan Harkes, Jim Blakley, Marc Meunier, Govindarajan Mohandoss, Kiel Friedt, Arun Thulasi, Pranav Saxena, and Brian Barritt. "Sinfonia: Cross-Tier Orchestration for Edge-Native Applications." Frontiers in the Internet of Things (2022): 5
“Sinfonia: Cross-Tier Orchestration for Edge-Native Applications", Mahadev Satyanarayanan, Jan Harkes, Jim Blakley,Marc Meunier, Govindarajan Mohandoss, Kiel Friedt,Arun Thulasi, Pranav Saxena, Brian Barritt, Carnegie Mellon University Technical Report, CMU-CS-22-125, July 2022.
Segmenting Latency in a Private 4G LTE Network”, Sophie Smith, Ishan Darwhekar, James Blakley, Thomas Eiszler, Jan Harkes, Carnegie Mellon University Technical Report CMU-CS-22-115, May 2022.
Satyanarayanan, Mahadev, Nigel Davies, and Nina Taft. "Balancing privacy and serendipity in cyberspace." Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications. 2022.
Gazda, R., Roy, M., Blakley, J., Sakr, A., & Schuster, R. (2021, December). Towards Open and Cross Domain Edge Emulation–The AdvantEDGE Platform. In 2021 IEEE/ACM Symposium on Edge Computing (SEC) (pp. 339-344). IEEE.
Feng, Z., George, S., Turki, H., Iyengar, R., Pillai, P., Harkes, J. and Satyanarayanan, M. Improving Edge Elasticity via Decode Offload, 2021 CMU Technical Report
Pham, T. A., Wang, J., Iyengar, R., Xiao, Y., Pillai, P., Klatzky, R., and Satyanarayanan, M. Ajalon: Simplifying the authoring of wearable cognitive assistants, 2021 Wiley Publication
Olguín Muñoz, M., Klatzky, R., Wang, J., Pillai, P., Satyanarayanan, M., & Gross, J. (2021). Impact of delayed response on wearable cognitive assistance. Plos one, 16(3), e0248690.
Satyanarayanan, M., Beckmann, N., Lewis, G. A., & Lucia, B. (2021). The role of edge offload for hardware-accelerated mobile devices. GetMobile: Mobile Computing and Communications, 25(2), 5-13.
Blakley, J. R., Iyengar, R., & Roy, M. (2020). Simulating Edge Computing Environments to Optimize Application Experience. School of Computer Science Carnegie Mellon University, Technical Report CMU-CS-20-135.
George, S., Eiszler, T., Iyengar, R., Turki, H., Feng, Z., Wang, J., ... & Satyanarayanan, M. (2020). OpenRTiST: end-to-end benchmarking for edge computing. IEEE Pervasive Computing, 19(4), 10-18.
Satyanarayanan, M., Eiszler, T., Harkes, J., Turki, H., & Feng, Z. (2020). Edge computing for legacy applications. IEEE Pervasive Computing, 19(4), 19-28.
Wang, J., Feng, Z., George, S., Iyengar, R., Pillai, P., & Satyanarayanan, M. (2019, November). Towards scalable edge-native applications. In Proceedings of the 4th ACM/IEEE Symposium on Edge Computing (pp. 152-165).

Articles and Blogs

Additional Resources

The Open Edge Computing InitiativeThe Open Edge Computing (OEC) Initiative is a collective effort by multiple companies, driving the business opportunities and technologies surrounding edge computing. The Living Edge Lab is a key leader and contributor to the OEC.