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Experiment results show that PARE can improve transaction throughput and reduce transaction latency on HFT applications by up to an order of magnitude than the state-of-the-art CC mechanism.
Experiments demonstrate that PARE outperforms the state-of-the-art concurrency control mechanism significantly on HFT applications in terms of both transaction throughput and latency, and the overhead is limited on typical OLTP benchmarks.
Hashgraph by Swirlds We have built a state-of-the-art distributed ledger technology that enables the creation of applications with high transaction throughput, low consensus latency, fairness in transaction order, and enterprise-grade security, without the burdensome costs of proof-of-work.
DBMS thrashing is indicated by the existence of a sharp drop in transaction throughput.
The model aims at improving transaction throughput at the same time as maintaining a reliable user service.
Figure 4 shows the transaction throughput of three methods as the workload (number of clients) was scaled up.
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Along x-axis, there are varying number of concurrent users and along the y-axis, there is a throughput (transactions per second).
Figures 8 and 9 show the average transaction utility and cell throughput for pure FTP traffic.
With inaccurate transaction size information, cell throughput starts declining right away, as can be seen in Figure 12.
On the other hand, the throughput of transaction pipeline increases by 25% from 1 worker to 32 workers and MVCC does not scale at all.
We implemented this mechanism on an open source database system OceanBase [19] and showed that this method can provide good performance in terms of throughput of transaction processing since the overhead of disk and network was reduced.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com