No compromises: distributed transactions with consistency, availability, and performance

By A. Dragojevic, Dushyanth Narayanan, Edmund B. Nightingale, Matthew J. Renzelmann, A. Shamis, Anirudh Badam, Miguel Oom Temudo de Castro. Symposium on Operating Systems Principles, 2015

354 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/1220e4a011c46804d4369b5580dc7fb6e387af54

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Citations in the corpus

NetChain: Scale-Free Sub-RTT Coordination (2018, background): “State-of-the-art in-memory transaction processing systems such as FaRM [5] and DrTM [6], which can process hundreds of millions of transactions per second with a latency of tens of microseconds, crucially depend on fast distributed locking to mediate concurrent access to data partitioned in multiple”
Untangling Blockchain: A Data Processing View of Blockchain Systems (2017, background): “Many data processing systems are taking advantage of new hardware to boost their performance [93], [94], [95].”
RDMA over Commodity Ethernet at Scale (2016, methodology): “As we have shown in RDMA has been used to build systems including storage, key-value stores, and distributed transaction systems [17, 26, 28, 37].”
Design Guidelines for High Performance RDMA Systems (2016, background): “Recent advances include several key-value storage systems [24, 13, 20, 30, 28] and distributed transaction processing systems [30, 12, 14, 11].”
Datacenter RPCs can be General and Fast (2018, background): “This is a challenging tra c pattern that resembles distributed online transaction processing (OLTP) workloads, which operate on small data items [25, 61, 37, 64].”