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Contracting Wide-area Network Topologies to Solve Flow Problems Quickly.

, , , , , and . NSDI, page 175-200. USENIX Association, (2021)

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Dynamic Power Allocation Under Arbitrary Varying Channels - An Online Approach., , , , and . INFOCOM, page 145-153. IEEE, (2009)Dynamic abstraction in reinforcement learning via clustering., , , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks., , , and . ICALP (2), volume 7392 of Lecture Notes in Computer Science, page 586-597. Springer, (2012)Basis Function Adaptation in Temporal Difference Reinforcement Learning., , and . Ann. Oper. Res., 134 (1): 215-238 (2005)Truthful Online Scheduling with Commitments., , , , , and . EC, page 715-732. ACM, (2015)Kerveros: Efficient and Scalable Cloud Admission Control., , , , , , , , , and 1 other author(s). OSDI, page 227-245. USENIX Association, (2023)Morpheus: Towards Automated SLOs for Enterprise Clusters., , , , , , , , , and 1 other author(s). OSDI, page 117-134. USENIX Association, (2016)Virtual Machine Allocation with Lifetime Predictions., , , , , , , , , and 4 other author(s). MLSys, mlsys.org, (2023)ERA: A Framework for Economic Resource Allocation for the Cloud., , , , , , , , , and . WWW (Companion Volume), page 635-642. ACM, (2017)Efficient online scheduling for deadline-sensitive jobs: extended abstract., , , and . SPAA, page 305-314. ACM, (2013)