![International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30675 | Volume – 4 | Issue – 3 | March-April 2020 Page 730
The Highest level is the Cloud Computing Layer which
receives the information from the Middle Layer known as
Fog computing consists of Proxy Servers. The Highest level
Layer is used to manage and mining the data. The Middle
Layer provides many servicessuchascalcualtion,savingand
networking at the edge in IOT devices.
The Last Layer or the Lowest Layer includes m-Proxy
Servers with the limited amount of resources which are
setup at the store or public facility like café’s from the
sensors so that IOT devices can collect information’s.
As the calculation is done at near edge on IOT devicessothat
it reduces the amount of data transferring to the cloud and
provide services to many devices with wireless connection.
For Example, Traffic Control or reduces accident at the
highly prone areas from the Cameras and Sensorsetata side
of road in Real-time. So that sensors can detect near by
objects which are approaching to it closely that can includes
pedestrians and vehiclesand measurethedistancethespped
of the objects. So that the sensors can send the signal or
information to the smart traffic lightstoprovideappropriate
information.
Also, Fog Computing refers to decentralized computation at
the edge of the network. By using the functionality of
distributing the data at the edge so that the result will be
sent to the cloud not the raw data itself. It helps to increase
the bandwidth and computational power in the cloud.
Companies using Cloud Computingforanalyticsoftenneedit
fast. So that the most relevant and recent data can be
accessed in real time. As the Company not need to depend
upon the globe analyzing in the cloud and sent it back to
them instead computation can be done closer to home.
Taking a scenario to analyze to what data do we actually
need. So taking the example of Airplanes which are
connected with important sensors which are meant to
prevent system failure. There are large amount of sensors
attach with Airplanes which produces upto40TBofdata per
hour of flight. If we calculate this data withandmultiplywith
the numbers of flight hours per day that will result into
astonish These sensors provides important information in
Flight but the data not being used for analyticsonfuel saving
and other efficiencies would not be benefical for being
aggregated in the cloud.
So similarly the smart or self-driving cars arealsoconnected
with sensors which generates large amount of data which is
to be monitor by the IOT devices constantly. If the data
consistency in terms of Calculation is slow then it will leads
to failure and even more unimaginable painful. Situation for
the passengers or the person. So to prevent these situations
fog computing leads to manage and computation the data in
the devices itself also
3. Fog computing vs. Cloud computing
Fog Computing provides a mechanism which reduces
the amount of data sent to cloud.
Cloud Computing does not need to provide any
reduction in data while sending or transforming the
data.
Fog Computing conservers more bandwidth.
Cloud Computing conserves less as compared to Fog
Computing.
Fog Computing data is highly secured.
Cloud Computing data is less secured as compared to
Fog Computing.
Fog Computing provides low latency rate and high
response time.
Cloud computing doesn’t provide low latency rate and
response time might be slower as because of large
amount of data.
Fog Computing consists of Decentralized in Geo
Distribution network.
Cloud Computing consists of Centralized in Geo
Distribution network.
Number of nodes are very large in Fog Computing but
high in Operating Expenses.
Number of nodes are few in Cloud Computing but lowin
Operating Expenses.
Cloud computing has become a popular model for reducing
cost of business, improvise quality of services, and provide
good & secure computing [1].
4. Edge Computing
It is a concept that contrast with Cloud computing. It
communicates with the “edge data center ” which is located
near the devices and then works with the cloud. It is also a
Computing Topology concept.Itissimplyusedtoprocessthe
data where ever or near by the point where data is present
in the devices whereas by the implementation/use of cloud
computing organization access different application of any
communication system using network or internet [2].
There are so many reasons that organizations are turning to
cloud services these days- first it is a cost effectivemethod in
which you can eliminate capital expenses of buying
hardware and software, data centers set-up and run [3].
Fog Computing is also referred to as edge computing and
processing the data which is collected from the various
devices before sending it to the cloud so that the amount of
transmission itself without receiving device control
information form the cloud. So that the data transmission
not be delay in the devices and can be controlledinreal time.
It benefits in terms of all the connections established with
low latency connections and increased in the process
efficiency. It makes the data filter so that it can be uploaded
without any junk or not needed. Provides the bettersecurity
and privacy control.
It is deeper and faster and also with great business agility
with quick development and deployment of applications
5. Future of Fog Computing
Providing with more and better Hardware devices so that
the market place can be evolved much faster like the iTune
App Stores or Google Play Store but with the focus on IOT
devices. Their must be direction for expanding and
identifying the new areas of researchandprovidesmore real
time cases. It will make a major impact in the IT
infrastructure and the network with emerging 5G and AI
interactions.](https://image.slidesharecdn.com/153fogcomputinganempiricalstudy-200602114429/85/Fog-Computing-An-Empirical-Study-2-320.jpg)
![International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30675 | Volume – 4 | Issue – 3 | March-April 2020 Page 731
6. Conclusion
In this paper, there is a discussion with the emerging
technology and network handling called Fog Computing
which handles the data from the IOT devices to process and
computation so that the real time response is fast. Also it
makes cloud computing concepts clear which helps to
maintain the relevant and crucial data in thenetwork.AS the
Fog Computing filters the data at the edge of the smart
devices before sending to the Cloud. So that spaces can be
utilise as much as possible for better responses and fast
processes.
7. References
[1] Kharb L. et al. A Comprehensive Study of Security in
Cloud Computing, International Journal ofEngineering
& Technology, 7 (4) (2018) 3897-3901. DOI:
10.14419/ijet. v7i4.20742
[2] Chahal D. et al. Technological Race Dependency on
Cloud Computing, International Journal for Scientific
Research & Development, Volume 5 Issue 11 –
NOVEMBER 2019.
[3] 3. Chahal D. et al. Data security in Cloud Computing,
International Journal of EngineeringScienceInvention,
Volume 6 Issue 12, December 2017 (PP. 31-36).](https://image.slidesharecdn.com/153fogcomputinganempiricalstudy-200602114429/85/Fog-Computing-An-Empirical-Study-3-320.jpg)
Fog Computing An Empirical Study
- 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD30675 | Volume – 4 | Issue – 3 | March-April 2020 Page 729 Fog Computing: An Empirical Study Vikas Vashisth1, Harshit Gupta1, Dr. Deepak Chahal2 1MCA Student, 2Professor, 1,2Department of IT, Jagan Institute of Management Studies, Rohini, New Delhi, India ABSTRACT In the Field of Internet of Things (IOT) the devices by themselves can recognize the environment and conduct a certain functions by itself. IOT Devices majorly consist with sensors. Cloud Computing which is based in sensor networks manages huge amount of data which includes transferring and processing which takes delayed in serviceresponse time. As the growth of sensor network is increased, the demand to control and process the data on IOT devices is also increasing. KEYWORDS: Computing, IOT, Server, Layer How to cite this paper: Vikas Vashisth | Harshit Gupta | Dr. Deepak Chahal "Fog Computing: An Empirical Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-4 | Issue-3, April 2020, pp.729-731, URL: www.ijtsrd.com/papers/ijtsrd30675.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) 1. INTRODUCTION To manage the large amount of data a newtypeofcomputing model was introduced in January 2014 by CISCO named Fog Computing. In simple terms, fog computing is cloud computing plus Internet of Things. Fog Computing is a model in which data is processed and applications which are concentrated in devices at the network edge rather than existing almost entirely in the cloud. In general rather than sending the data directly to the cloud from the smart devices it can be manage locally in the smart devices. Fog Computing reducesthelatencyasa result of local computation while minimizing security risks. Fog Computing is a distributed computing wherethestorage and networks, closer to users and anywhere the cloud to things continuum that connects the cloud to things on the edge. This bridge connect the devices to cloud that generateddata like cars, routers or surveillance cameras. It makes IOT and other applications that require real-time interactions. Fog Computing creates that extension of cloud functionality when you need it and brings that functionality closer to where latency is very important. In the future 5G networks assure that latency will decrease as low as possible like in sub-milliseconds so that the fastest network facility can be provided. For that 5G networksmust support Fog computing. Fog Computing is a platform which is virtually generated that gives the functionality to process, manage and other network services to the data between the cloud computing and a device. Some Advantages of Fog Computing are as follows: 1. It reduces the load on the network as the amountofdata which is travelling through a network is reduced because of the computation is conducted at a network edge near IOT devices. 2. It is reliable as it provides the mobility functionality to all the smart phones, laptops andmanymorephysical or virtual with IOT applications. 3. In the fog computing structure, devices provide context awareness relating to data created by the sensor with them. The device plays a role in combining the data at a sensor using position application context. 2. Architecture of Fog Computing Fig 1: Working of Fog Computing IJTSRD30675
- 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30675 | Volume – 4 | Issue – 3 | March-April 2020 Page 730 The Highest level is the Cloud Computing Layer which receives the information from the Middle Layer known as Fog computing consists of Proxy Servers. The Highest level Layer is used to manage and mining the data. The Middle Layer provides many servicessuchascalcualtion,savingand networking at the edge in IOT devices. The Last Layer or the Lowest Layer includes m-Proxy Servers with the limited amount of resources which are setup at the store or public facility like café’s from the sensors so that IOT devices can collect information’s. As the calculation is done at near edge on IOT devicessothat it reduces the amount of data transferring to the cloud and provide services to many devices with wireless connection. For Example, Traffic Control or reduces accident at the highly prone areas from the Cameras and Sensorsetata side of road in Real-time. So that sensors can detect near by objects which are approaching to it closely that can includes pedestrians and vehiclesand measurethedistancethespped of the objects. So that the sensors can send the signal or information to the smart traffic lightstoprovideappropriate information. Also, Fog Computing refers to decentralized computation at the edge of the network. By using the functionality of distributing the data at the edge so that the result will be sent to the cloud not the raw data itself. It helps to increase the bandwidth and computational power in the cloud. Companies using Cloud Computingforanalyticsoftenneedit fast. So that the most relevant and recent data can be accessed in real time. As the Company not need to depend upon the globe analyzing in the cloud and sent it back to them instead computation can be done closer to home. Taking a scenario to analyze to what data do we actually need. So taking the example of Airplanes which are connected with important sensors which are meant to prevent system failure. There are large amount of sensors attach with Airplanes which produces upto40TBofdata per hour of flight. If we calculate this data withandmultiplywith the numbers of flight hours per day that will result into astonish These sensors provides important information in Flight but the data not being used for analyticsonfuel saving and other efficiencies would not be benefical for being aggregated in the cloud. So similarly the smart or self-driving cars arealsoconnected with sensors which generates large amount of data which is to be monitor by the IOT devices constantly. If the data consistency in terms of Calculation is slow then it will leads to failure and even more unimaginable painful. Situation for the passengers or the person. So to prevent these situations fog computing leads to manage and computation the data in the devices itself also 3. Fog computing vs. Cloud computing Fog Computing provides a mechanism which reduces the amount of data sent to cloud. Cloud Computing does not need to provide any reduction in data while sending or transforming the data. Fog Computing conservers more bandwidth. Cloud Computing conserves less as compared to Fog Computing. Fog Computing data is highly secured. Cloud Computing data is less secured as compared to Fog Computing. Fog Computing provides low latency rate and high response time. Cloud computing doesn’t provide low latency rate and response time might be slower as because of large amount of data. Fog Computing consists of Decentralized in Geo Distribution network. Cloud Computing consists of Centralized in Geo Distribution network. Number of nodes are very large in Fog Computing but high in Operating Expenses. Number of nodes are few in Cloud Computing but lowin Operating Expenses. Cloud computing has become a popular model for reducing cost of business, improvise quality of services, and provide good & secure computing [1]. 4. Edge Computing It is a concept that contrast with Cloud computing. It communicates with the “edge data center ” which is located near the devices and then works with the cloud. It is also a Computing Topology concept.Itissimplyusedtoprocessthe data where ever or near by the point where data is present in the devices whereas by the implementation/use of cloud computing organization access different application of any communication system using network or internet [2]. There are so many reasons that organizations are turning to cloud services these days- first it is a cost effectivemethod in which you can eliminate capital expenses of buying hardware and software, data centers set-up and run [3]. Fog Computing is also referred to as edge computing and processing the data which is collected from the various devices before sending it to the cloud so that the amount of transmission itself without receiving device control information form the cloud. So that the data transmission not be delay in the devices and can be controlledinreal time. It benefits in terms of all the connections established with low latency connections and increased in the process efficiency. It makes the data filter so that it can be uploaded without any junk or not needed. Provides the bettersecurity and privacy control. It is deeper and faster and also with great business agility with quick development and deployment of applications 5. Future of Fog Computing Providing with more and better Hardware devices so that the market place can be evolved much faster like the iTune App Stores or Google Play Store but with the focus on IOT devices. Their must be direction for expanding and identifying the new areas of researchandprovidesmore real time cases. It will make a major impact in the IT infrastructure and the network with emerging 5G and AI interactions.
- 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30675 | Volume – 4 | Issue – 3 | March-April 2020 Page 731 6. Conclusion In this paper, there is a discussion with the emerging technology and network handling called Fog Computing which handles the data from the IOT devices to process and computation so that the real time response is fast. Also it makes cloud computing concepts clear which helps to maintain the relevant and crucial data in thenetwork.AS the Fog Computing filters the data at the edge of the smart devices before sending to the Cloud. So that spaces can be utilise as much as possible for better responses and fast processes. 7. References [1] Kharb L. et al. A Comprehensive Study of Security in Cloud Computing, International Journal ofEngineering & Technology, 7 (4) (2018) 3897-3901. DOI: 10.14419/ijet. v7i4.20742 [2] Chahal D. et al. Technological Race Dependency on Cloud Computing, International Journal for Scientific Research & Development, Volume 5 Issue 11 – NOVEMBER 2019. [3] 3. Chahal D. et al. Data security in Cloud Computing, International Journal of EngineeringScienceInvention, Volume 6 Issue 12, December 2017 (PP. 31-36).