Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Support vector regression model for BigData systems   Nowadays Big Data are becoming more and more important. Many sectors of our
economy are now guided by data-driven decision processes. Big Data and business
intelligence applications are facilitated by the MapReduce programming model
while, at infrastructural layer, cloud computing provides flexible and cost
effective solutions for allocating on demand large clusters. In such systems,
capacity allocation, which is the ability to optimally size minimal resources
for achieve a certain level of performance, is a key challenge to enhance
performance for MapReduce jobs and minimize cloud resource costs. In order to
do so, one of the biggest challenge is to build an accurate performance model
to estimate job execution time of MapReduce systems. Previous works applied
simulation based models for modeling such systems. Although this approach can
accurately describe the behavior of Big Data clusters, it is too
computationally expensive and does not scale to large system. We try to
overcome these issues by applying machine learning techniques. More precisely
we focus on Support Vector Regression (SVR) which is intrinsically more robust
w.r.t other techniques, like, e.g., neural networks, and less sensitive to
outliers in the training set. To better investigate these benefits, we compare
SVR to linear regression.

36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
19
The categories of this paper are: eess
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph