NDLI: T-Part: Partitioning of Transactions for Forward-Pushing in Deterministic Database Systems

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T-Part: Partitioning of Transactions for Forward-Pushing in Deterministic Database Systems

Content Provider	ACM Digital Library
Author	Feng, Tsai-Yu Liao, Meng-Kai Pi, Shao-Kan Lin, Yu-Shan Wu, Shan-Hung
Abstract	Deterministic database systems have been shown to yield high throughput on a cluster of commodity machines while ensuring the strong consistency between replicas, provided that the data can be well-partitioned on these machines. However, data partitioning can be suboptimal for many reasons in real-world applications. In this paper, we present T-Part, a transaction execution engine that partitions transactions in a deterministic database system to deal with the unforeseeable workloads or workloads whose data are hard to partition. By modeling the dependency between transactions as a T-graph and continuously partitioning that graph, T-Part allows each transaction to know which later transactions on other machines will read its writes so that it can push forward the writes to those later transactions immediately after committing. This forward-pushing reduces the chance that the later transactions stall due to the unavailability of remote data. We implement a prototype for T-Part. Extensive experiments are conducted and the results demonstrate the effectiveness of T-Part.
Starting Page	1553
Ending Page	1565
Page Count	13
File Format	PDF
ISBN	9781450335317
DOI	10.1145/2882903.2915227
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Deterministic database systems Transaction partitioning Forward pushing Transaction processing
Content Type	Text
Resource Type	Article

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