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Attention-Based Deep Reinforcement Learning for Edge User Allocation.

, , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 590-604 (February 2024)

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Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments., , , , , , and . CoRR, (2024)Attention-Based Deep Reinforcement Learning for Edge User Allocation., , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 590-604 (February 2024)Reconstruction and applications of consensus yeast metabolic network based on RNA sequencing., , , and . FEBS open bio, 6 (4): 264--275 (April 2016)A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing., , and . ICSOC (2), volume 14420 of Lecture Notes in Computer Science, page 127-142. Springer, (2023)A Survey: Transformation for Integrating Relational Database with Semantic Web., , , , and . ICMSS, page 66-73. ACM, (2019)A Novel Approach to Extracting Posts Qualification from Internet., , , and . GRMSE (1), volume 698 of Communications in Computer and Information Science, page 213-221. Springer, (2016)Microservice Pre-Deployment Based on Mobility Prediction and Service Composition in Edge., , , and . ICWS, page 569-578. IEEE, (2021)Dual-Channel Autoencoder with Key Region Feature Enhancement for Video Anomalous Event Detection., , , and . Neural Process. Lett., 56 (3): 186 (June 2024)MobileEdgeSim: A Tool for Simulating Microservice-Oriented Mobile Edge Computing., , , , and . Internetware, ACM, (2024)A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling., , , , , and . ICWS, page 299-309. IEEE, (2023)