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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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Copyright@IDL-2017


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