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Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS.

, , , , and . IEEE J. Sel. Areas Commun., 35 (11): 2501-2511 (2017)

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DeviceMien: network device behavior modeling for identifying unknown IoT devices., , and . IoTDI, page 106-117. ACM, (2019)Risks and Challenges of Training Classifiers for IoT., , and . ICIOT, volume 12993 of Lecture Notes in Computer Science, page 15-28. Springer, (2021)Improving Inter-domain Routing through Multi-agent Reinforcement Learning., , and . INFOCOM Workshops, page 1129-1134. IEEE, (2020)Update Algebra: Toward Continuous, Non-Blocking Composition of Network Updates in SDN., , , , and . INFOCOM, page 1081-1089. IEEE, (2019)On guidelines for safe route redistributions., and . INM@SIGCOMM, page 274-279. ACM, (2007)Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface., , , , , and . AAAI, page 1674-1681. AAAI Press, (2019)Detecting network-wide and router-specific misconfigurations through data mining., , , , and . IEEE/ACM Trans. Netw., 17 (1): 66-79 (2009)Online Learning-Assisted VNF Service Chain Scaling with Network Uncertainties., , , and . CLOUD, page 205-213. IEEE Computer Society, (2017)Distributed Route Aggregation on the Global Network., , , and . CoNEXT, page 161-172. ACM, (2014)NetStar: A Future/Promise Framework for Asynchronous Network Functions., , , , and . IEEE J. Sel. Areas Commun., 37 (3): 600-612 (2019)