Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Query Log Compression for Workload Analytics   Analyzing database access logs is a key part of performance tuning, intrusion
detection, benchmark development, and many other database administration tasks.
Unfortunately, it is common for production databases to deal with millions or
even more queries each day, so these logs must be summarized before they can be
used. Designing an appropriate summary encoding requires trading off between
conciseness and information content. For example: simple workload sampling may
miss rare, but high impact queries. In this paper, we present LogR, a lossy log
compression scheme suitable use for many automated log analytics tools, as well
as for human inspection. We formalize and analyze the space/fidelity trade-off
in the context of a broader family of "pattern" and "pattern mixture" log
encodings to which LogR belongs. We show through a series of experiments that
LogR compressed encodings can be created efficiently, come with provable
information-theoretic bounds on their accuracy, and outperform state-of-art log
summarization strategies.

19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th