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Elastic scalable transaction processing in LeanXcale

Authors: Jimenez-Peris, Ricardo; Burgos-Sancho, Diego; Ballesteros, Francisco; Patiño-Martinez, Marta; Valduriez, Patrick;

Elastic scalable transaction processing in LeanXcale

Abstract

Scaling ACID transactions in a cloud database is hard, and providing elastic scalability even harder. In this paper, we present our solution for elastic scalable transaction processing in LeanXcale, an industrial-strength NewSQL database system. Unlike previous solutions, it does not require any hardware assistance. Yet, it does scales linearly to 100s of servers. LeanXcale supports non-intrusive elasticity and can move data partitions without hurting the quality of service of transaction management. We show the correctness of LeanXcale transaction management. Finally, we provide a thorough performance evaluation of our solution on Amazon Web Services (AWS) shared cloud instances. The results show linear scalability, e.g., 5 million TPC-C NewOrder TPM with 200 nodes, which is greater than the TPC-C throughput obtained by the 9th highest result in all history using dedicated hardware used exclusively (not shared like in our evaluation) for the benchmark. Furthermore, the efficiency in terms of TPM per core is double that of the two top TPC-C results (also the only results in a cloud).

Countries
France, Spain
Keywords

Informática, NewSQL database system, Scalability, TPC-C, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Transaction processing, Cloud, Transaction management, Elasticity

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid