Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predictive Auto-scaling with OpenStack Monasca   Cloud auto-scaling mechanisms are typically based on reactive automation
rules that scale a cluster whenever some metric, e.g., the average CPU usage
among instances, exceeds a predefined threshold. Tuning these rules becomes
particularly cumbersome when scaling-up a cluster involves non-negligible times
to bootstrap new instances, as it happens frequently in production cloud
services.
  To deal with this problem, we propose an architecture for auto-scaling cloud
services based on the status in which the system is expected to evolve in the
near future. Our approach leverages on time-series forecasting techniques, like
those based on machine learning and artificial neural networks, to predict the
future dynamics of key metrics, e.g., resource consumption metrics, and apply a
threshold-based scaling policy on them. The result is a predictive automation
policy that is able, for instance, to automatically anticipate peaks in the
load of a cloud application and trigger ahead of time appropriate scaling
actions to accommodate the expected increase in traffic.
  We prototyped our approach as an open-source OpenStack component, which
relies on, and extends, the monitoring capabilities offered by Monasca,
resulting in the addition of predictive metrics that can be leveraged by
orchestration components like Heat or Senlin. We show experimental results
using a recurrent neural network and a multi-layer perceptron as predictor,
which are compared with a simple linear regression and a traditional
non-predictive auto-scaling policy. However, the proposed framework allows for
the easy customization of the prediction policy as needed.

33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th