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Dynamic Timestamp Allocation for Reducing Transaction Aborts.

, , , , , , , and . IEEE CLOUD, page 269-276. IEEE Computer Society, (2018)

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Chariots: A Scalable Shared Log for Data Management in Multi-Datacenter Cloud Environments., , , and . EDBT, page 13-24. OpenProceedings.org, (2015)Janus: A Hybrid Scalable Multi-Representation Cloud Datastore., , , and . IEEE Trans. Knowl. Data Eng., 30 (4): 689-702 (2018)A System Infrastructure for Strongly Consistent Transactions on Globally-Replicated Data., , , , and . IEEE Data Eng. Bull., 40 (4): 3-14 (2017)Leader or Majority: Why have one when you can have both? Improving Read Scalability in Raft-like consensus protocols., , , , , , and . HotCloud, USENIX Association, (2017)A Pluggable Autoscaling Service for Open Cloud PaaS Systems., , , , , and . UCC, page 191-194. IEEE Computer Society, (2012)Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores., , , and . SIGMOD Conference, page 1279-1294. ACM, (2015)M-DB: A Continuous Data Processing and Monitoring Framework for IoT Applications., , , and . iThings/GreenCom/CPSCom/SmartData, page 1096-1105. IEEE, (2019)Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns., , , , , , , , and . BigComp, page 1-6. IEEE Computer Society, (2015)Typhon: Consistency Semantics for Multi-Representation Data Processing., , , and . CLOUD, page 648-655. IEEE Computer Society, (2017)Multi-representation Based Data Processing Architecture for IoT Applications., , , and . ICDCS, page 2234-2239. IEEE Computer Society, (2017)