Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Easily implementable time series forecasting techniques for resource
  provisioning in cloud computing   Workload predictions in cloud computing is obviously an important topic. Most
of the existing publications employ various time series techniques, that might
be difficult to implement. We suggest here another route, which has already
been successfully used in financial engineering and photovoltaic energy. No
mathematical modeling and machine learning procedures are needed. Our computer
simulations via realistic data, which are quite convincing, show that a setting
mixing algebraic estimation techniques and the daily seasonality behaves much
better. An application to the computing resource allocation, via virtual
machines, is sketched out.

22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph