Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Workload Classification & Software Energy Measurement for Efficient
  Scheduling on Private Cloud Platforms   At present there are a number of barriers to creating an energy efficient
workload scheduler for a Private Cloud based data center. Firstly, the
relationship between different workloads and power consumption must be
investigated. Secondly, current hardware-based solutions to providing energy
usage statistics are unsuitable in warehouse scale data centers where low cost
and scalability are desirable properties. In this paper we discuss the effect
of different workloads on server power consumption in a Private Cloud platform.
We display a noticeable difference in energy consumption when servers are given
tasks that dominate various resources (CPU, Memory, Hard Disk and Network). We
then use this insight to develop CloudMonitor, a software utility that is
capable of >95% accurate power predictions from monitoring resource consumption
of workloads, after a "training phase" in which a dynamic power model is
developed.

16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat