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Application-specific, dynamic reservation of 5G compute and network resources by using reinforcement learning.

, , , , , , and . NAI@SIGCOMM, page 19-25. ACM, (2022)

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FactionFormer: Context-Driven Collaborative Vision Transformer Models for Edge Intelligence., , , , and . SMARTCOMP, page 349-354. IEEE, (2023)Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It?, , , , , , and . ECCV Workshops (1), volume 13801 of Lecture Notes in Computer Science, page 430-448. Springer, (2022)AppSlice: A system for application-centric design of 5G and edge computing applications., , and . NoF, page 1-5. IEEE, (2021)M-Lock: Accelerating Distributed Transactions on Key-Value Stores through Dynamic Lock Localization., , , and . IEEE CLOUD, page 179-187. IEEE Computer Society, (2013)LARA: Latency-Aware Resource Allocator for Stream Processing Applications., , , and . PDP, page 68-77. IEEE, (2024)AQuA: A New Image Quality Metric for Optimizing Video Analytics Systems., , , and . ACM Trans. Embed. Comput. Syst., 22 (4): 74:1-74:29 (July 2023)Edge-based fever screening system over private 5G., , , , and . CoRR, (2022)LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs., , and . CoRR, (2023)Edge-based fever screening system over private 5G., , , , and . SEC, page 386-391. IEEE, (2021)Scale Up while Scaling Out Microservices in Video Analytics Pipelines., , , and . MCSoC, page 584-591. IEEE, (2023)