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Performance Evaluation of Embedded Processor
in MapReduce Cloud Computing Applications
Christoforos Kachris 1,∗ , Georgios Sirakoulis 1 , and Dimitrios Soudris 2
1 Department of Electrical and Computer Engineering,
Democritus University of Thrace, Xanthi, Greece
{ckachris,gsirak}@ee.duth.gr
2 Department of Electrical and Computer Engineering,
National Technical University of Athens, Athens, Greece
dsoudris@microlab.ntua.gr
Abstract. Current data centers consume huge amount of power to face the
increasing network traffic. Therefore energy efficient processors are required
that can process the cloud applications efficiently without consuming excessive
power. This paper presents a performance evaluation of the processors that are
mainly used in high performance embedded systems in the domain of cloud
computing. Several representative applications based on the widely used
MapReduce framework are mapped in the embedded processor and are
evaluated in terms of performance and energy efficiency. The results shows that
high performance embedded processors can achieve up to 7.8x better energy
efficiency than the current general purpose processors in typical MapReduce
applications.
Keywords: cloud computing, green computing, embedded processors,
mapreduce, data centers.
1
Introduction
Over the last few years, the exponential increase of the Internet traffic, mainly driven
from emerging applications like streaming video, social networking and cloud
computing has created the need for more powerful warehouse data centers. These data
centers are based on thousands of high performance servers interconnected with high
performance switches. Most of the applications that are hosted in the data center
servers (e.g. cloud computing applications, search engines, etc.) are extremely data-
intensive and require high interaction between the servers in the data center.
A main concern in the design and deployment of a data centers is the power
consumption. Many data consume a tremendous amount of electricity; some consume
the equivalent of nearly 180,000 homes [1]. Greenpeace's Make IT Green report [2],
The research project is implemented within the framework of the Action «Supporting
Postdoctoral Researchers» of the Operational Program "Education and Lifelong Learning"
(Action's Beneficiary: General Secretariat for Research and Technology), and is co-financed
by the European Social Fund (ESF) and the Greek State.
 
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