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Mayflower: Improving Distributed Filesystem Performance Through SDN/Filesystem Co-Design.

, , , , and . ICDCS, page 384-394. IEEE Computer Society, (2016)

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Canopus: A Scalable and Massively Parallel Consensus Protocol., , and . CoNEXT, page 426-438. ACM, (2017)Netstore: leveraging network optimizations to improve distributed transaction processing performance., , , , and . ACTIVE@Middleware, page 1-10. ACM, (2017)Macroflows and Microflows: Enabling Rapid Network Innovation through a Split SDN Data Plane., , , , , , , and . EWSDN, page 79-84. IEEE Computer Society, (2012)Poly: A reliable and energy efficient topology control protocol for wireless sensor networks., , , , , and . Computer Communications, 34 (10): 1235-1242 (2011)An energy efficient Clique-based CDS discovery protocol for wireless sensor networks., , , , , and . CISS, page 1-6. IEEE, (2010)RCanopus: Making Canopus Resilient to Failures and Byzantine Faults., , , , and . CoRR, (2018)Evaluation and improvement of CDS-based topology control for wireless sensor networks., , , , , and . Wireless Networks, 19 (1): 31-46 (2013)Information theoretic feature space slicing for statistical anomaly detection., , , , , and . J. Network and Computer Applications, (2014)Scaling Bloom filter based multicast with hierarchical tree splitting., , and . ICC, page 2790-2795. IEEE, (2012)On mitigating sampling-induced accuracy loss in traffic anomaly detection systems., , , , , , and . Computer Communication Review, 40 (3): 4-16 (2010)