Network planning with deep reinforcement learning
Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin
Abstract
Network planning is critical to the performance, reliability and cost of web services. This problem is typically formulated as an Integer Linear Programming (ILP) problem. Today's practice relies on hand-tuned heuristics from human experts to address the scalability challenge of ILP solvers.
Topics & Concepts
HeuristicsReinforcement learningComputer scienceScalabilityInteger programmingReliability (semiconductor)Linear programmingMathematical optimizationArtificial intelligenceNetwork planning and designDistributed computingComputer networkAlgorithmMathematicsPower (physics)Operating systemDatabasePhysicsQuantum mechanicsSoftware-Defined Networks and 5GAdvanced Optical Network TechnologiesNetwork Traffic and Congestion Control