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Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach.

, , , и . InfQ@VALUETOOLS, том 825 из Communications in Computer and Information Science, стр. 97-110. Springer, (2017)

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Markov analysis of the PRMA protocol for local wireless networks., и . Wireless Networks, 4 (4): 297-306 (1998)Explicit Loss Inference in Multicast Tomography., , , и . IEEE Trans. Inf. Theory, 52 (8): 3852-3855 (2006)Joint Operator Replication and Placement Optimization for Distributed Streaming Applications., , , и . VALUETOOLS, ACM, (2016)MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing., , , и . CCGRID, стр. 314-323. IEEE, (2021)Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach., , и . IEEE CLOUD, стр. 115-122. IEEE Computer Society, (2013)A Multi-level Elasticity Framework for Distributed Data Stream Processing., , , и . Euro-Par Workshops, том 11339 из Lecture Notes in Computer Science, стр. 53-64. Springer, (2018)Network tomography on general topologies., , , и . SIGMETRICS, стр. 21-30. ACM, (2002)A General Model for Virtual Machines Resources Allocation in Multi-tier Distributed Systems., и . ICAS, стр. 162-167. IEEE Computer Society, (2009)Hierarchical Scaling of Microservices in Kubernetes., , и . ACSOS, стр. 28-37. IEEE, (2020)A scalable analytical framework for deriving optimum scheduling and routing in underwater sensor networks., , , и . MASS, стр. 127-135. IEEE Computer Society, (2012)