Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud
  Microservices   Cloud applications are increasingly shifting from large monolithic services,
to complex graphs of loosely-coupled microservices. Despite their advantages,
microservices also introduce cascading QoS violations in cloud applications,
which are difficult to diagnose and correct.
  We present Sage, a ML-driven root cause analysis system for interactive cloud
microservices. Sage leverages unsupervised learning models to circumvent the
overhead of trace labeling, determines the root cause of unpredictable
performance online, and applies corrective actions to restore performance. On
experiments on both dedicated local clusters and large GCE clusters we show
that Sage achieves high root cause detection accuracy and predictable
performance.

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The categories of this paper are: quant-ph
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The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
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
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The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph