1 IDL - International Digital Library Of Technology & Research Volume 1, Issue 6, June 2017
Available at: www.dbpublications.org
International e-Journal For Technology And Research-2017
Fog Computing – Enhancing the Maximum Energy Consumption of Data Servers. Priyanka Chettiyar1, Prabadevi B2and Jeyanthi N3 School of Information Technology, Vellore Institute of Technology, Vellore, Tamil Nadu. priyanka.mannarsamy@vit.ac.in prabadevi.b@vit.ac.in njeyanthi@vit.ac.in
Abstract Fog Computing and IoT systems make use of end-user premises devices as local servers. Here, we are identifying the scenarios for which running applications from NDCs are more energy-efficient than running the same applications from MDC. With the complete survey and analysis of various energy consumption factors such as different flow-variants and time-variants with respect to the Network Equipment we found two energy consumption use cases and respective results. Parameters such as current Load, Pmax, Cmax, Incremental Energy etc evolved with respect to system structure and various data related parameters leading to the conclusion that the NDC utilizes relatively reduced factor of energy comparative to the MDC. The study reveals that NDC as a part of Fog makeweights the MDCs to accompany respective applications, especially in the scenarios where IoT based applications are used where end users are the source data providers and can maximize the server utilization.
Index Terms— Centralized Data Servers, Cmax, Energy expenditure, Fog Computing, Nano Data Servers, Pmax.
1.
INTRODUCTION
loud computing and respective cloud relative
Capplications are on increasing demand and growing
demand
and
growth
of
various
smart
devices
communicating and making the world more connected,
swiftly in this digital sector of technology. Studies
well known as IoT. Recent surveys have expressed the
until date reflects cloud computing as the highly energy
fact that soon nobody can stop IoT from transforming
efficient for processing any job instead of running it
the traditional technology to digital world rapidly. Cloud
locally. Nevertheless, when energy utilization evaluated
computing appeared where application services easily
with respect to network topology and some other factors
made available to end users as frameworks, platforms
such as power consumption due to interactive cloud
and softwares. Cloud computing, still cannot be termed
services at the end user side; energy consumption
as “A platform for all” as it lags various issues to meet
seemed to be varying with respect to various use cases.
the requirements of IoT applications.
The pervasiveness of universality for the increasing IDL - International Digital Library
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