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To eliminate harmful ordering, it works to rearrange statements in increasing or decreasing order of contention.
This validates our argument that arbitrary choice of increasing or decreasing order of contention does not matter.
In this paper, we make an arbitrary choice of reordering in decreasing order of contention and experiments show that these two strategies match each other.
We observe and formulate harmful ordering under transaction pipeline and propose to rearrange statements in decreasing order of contention to eliminate harmful ordering.
We deduce to reorder transaction execution in order of contention and further propose two mechanisms to extract reordering blocks and identify the degree of contention of objects.
From Figure 4, it is apparent that when there are few number of users in the network, roughly on the order of contention window size, it is beneficial to use higher value of α because it can maintain higher ℑ.
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This is because at this time, statements are somewhat reordered in increasing rather than the desired decreasing order of degree of contention and thus still eliminates harmful ordering.
First, we observe and formulate harmful ordering of statements in transaction code and propose to eliminate harmful ordering by rearranging statements in decreasing order of the degree of contention.
Modern earthquake risk in the New Madrid Seismic Zone which experienced three powerful quakes 200 years ago but nothing on that order since remains a bone of contention.
To resolve harmful ordering, we propose PARE, a pipeline-aware reordered execution, to improve application performance by rearranging statements in order of their degrees of contention.
In "Reordering Transaction Execution to Boost High Frequency Trading Applications," authors propose a pipeline-aware reordered execution to improve application performance by rearranging statements in order of their degrees of contention.
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