Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the energy efficiency of client-centric data consistency management
  under random read/write access to Big Data with Apache HBase   The total estimated energy bill for data centers in 2010 was \$11.5 billion,
and experts estimate that the energy cost of a typical data center doubles
every five years. On the other hand, computational developments have started to
lag behind storage advancements, therein becoming a future bottleneck for the
ongoing data growth which already approaches Exascale levels. We investigate
the relationship among data throughput and energy footprint on a large storage
cluster, with the goal of formalizing it as a metric that reflects the trading
among consistency and energy. Employing a client-centric consistency approach,
and while honouring ACID properties of the chosen columnar store for the case
study (Apache HBase), we present the factors involved in the energy consumption
of the system as well as lessons learned to underpin further design of
energy-efficient cluster scale storage systems.

30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
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
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics