Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
This presentation include some of limitations of cloud computing that motivate cisco to come up with new fog computing .Fog is nothing but cloud or we can say it is an extension of the cloud.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
automation in it's next level,applications of fog computing,need of fog computing,fog vs cloud, Internet of things,fog vs cloud vs IOT ,existing cloud system, proposed system presentation conclusion
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
An increasing number of Consumer and Internet Internet of Things applications require some form of edge computing characterised by low latency, peer-to-peer communication, and mobility. Fog computing has recently emerged as the paradigm to address the needs of edge computing in IoT applications. Fog computing complements Cloud computing to allow the design and implementation of IoT systems that scale better, are more reactive and in which local communication and decision is enabled whenever possible.
This presentation introduces the key concepts behind Fog Computing, compare and contrast it with Cloud Computing and explain how the VORTEX platform enables Fog computing architectures.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
This presentation include some of limitations of cloud computing that motivate cisco to come up with new fog computing .Fog is nothing but cloud or we can say it is an extension of the cloud.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
automation in it's next level,applications of fog computing,need of fog computing,fog vs cloud, Internet of things,fog vs cloud vs IOT ,existing cloud system, proposed system presentation conclusion
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
An increasing number of Consumer and Internet Internet of Things applications require some form of edge computing characterised by low latency, peer-to-peer communication, and mobility. Fog computing has recently emerged as the paradigm to address the needs of edge computing in IoT applications. Fog computing complements Cloud computing to allow the design and implementation of IoT systems that scale better, are more reactive and in which local communication and decision is enabled whenever possible.
This presentation introduces the key concepts behind Fog Computing, compare and contrast it with Cloud Computing and explain how the VORTEX platform enables Fog computing architectures.
Drones and Fog Computing - New Frontiers of IoT and Digital Transformation -...Biren Gandhi
Technology is considered one of the biggest drivers of Digital Transformation and Digital Disruption. Out of many frontiers of recent technological advancements, this talk focused on IoT, Drones and Fog Computing as key innovation accelerators for Digital Strategy.
In this presentation, Naveen introduces fog computing and how it can enable the functioning of IoT devices. Naveen's interest area lies in improving network security in IoT devices.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
The Internet of Things arrived last decade when the number of devices (that can connect) outnumbered the world population. We have now entered a new age. The evolution from #virtualization to #cloud to #IoT and #BigData a consequence of the Moore Nielsen prediction and the rise of Fog Computing. The role of #OpenSource and #OpenStandards and the importance of the new trend: Open Data as the only way to keep sanity in Big Data. This is my presentation at the IEEE International Conference on Cloud Engineering in Boston on Pi Day 2014
Fog computing may help to save energy in cloud computingieeepondy
Fog computing may help to save energy in cloud computing
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
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IEEE PROJECTS 2016-2017
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DEYPOS: DEDUPLICATABLE DYNAMIC PROOF OF STORAGE FOR MULTI-USER ENVIRONMENTSNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
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NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Fog computing is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
Fog Computing is a paradigm that extends Cloud Computing and services to the edge of the network, similar to Cloud, Fog provides data, compute, storage, and application services to end-users.
Azure service bus based on cloud computingarun Prabha
Azure is Microsoft’s cloud computing platform, a growing collection of integrated services—analytics, computing, database, mobile, networking, storage and web—for moving faster, achieving more and saving money. It is an infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft-managed and Microsoft partner hosted data centers.
In this session we will look at the Azure Service Bus and its capabilities to deliver low cost massive scale messaging. We will also look at some demo’s of how to use the service bus and some real world use cases. We will cover Service Bus Relay, Messaging and Event Hubs.
This session will be an intermediate session where we will look at the product features, common use cases and some samples.
Making communication across boundaries simple with Azure Service BusParticular Software
There are times when you should consider setting up secure communications between your software components across network boundaries.
Here are just a few:
* Your application is enormous (e.g., the global deployment of a marketing site targeting billions of people)
* Remoteness (e.g., your company has branch office locations around the globe)
* Your network constraints prevent communication (e.g., your machines in Azure Cloud Services are unable to talk to each other directly)
* You don't know the network conditions (e.g., IoT or mobile devices)
Yves Goeleven and Sean Feldman show how to overcome such challenges using Azure Service Bus.
Fog computing is defined as a decentralized infrastructure that places storage and processing components at the edge of the cloud, where data sources such as application users and sensors exist.It is an architecture that uses edge devices to carry out a substantial amount of computation (edge computing), storage, and communication locally and routed over the Internet backbone.To achieve real-time automation, data capture and analysis has to be done in real-time without having to deal with the high latency and low bandwidth issues that occur during the processing of network data In 2012, Cisco introduced the term fog computing for dispersed cloud infrastructures.. In 2015, Cisco partnered with Microsoft, Dell, Intel, Arm and Princeton University to form the OpenFog Consortium.The consortium's primary goals were to both promote and standardize fog computing. These concepts brought computing resources closer to data sources.Fog computing also differentiates between relevant and irrelevant data. While relevant data is sent to the cloud for storage, irrelevant data is either deleted or transmitted to the appropriate local platform. As such, edge computing and fog computing work in unison to minimize latency and maximize the efficiency associated with cloud-enabled enterprise systemsFog computing consists of various componets such as fog nodes.Fog nodes are independent devices that pick up the generated information. Fog nodes fall under three categories: fog devices, fog servers, and gateways. These devices store necessary data while fog servers also compute this data to decide the course of action. Fog devices are usually linked to fog servers. Fog gateways redirect the information between the various fog devices and servers. With Fog computing, local data storage and scrutiny of time-sensitive data become easier. With this the amount and the distance of passing data to the cloud is reduced, therefore reducing the security challenges.Fog computing enables data processing based on application demands, available networking and computing resources. This reduces the amount of data required to be transferred to the cloud, ultimately saving network bandwidth.Fog computing can run independently and ensure uninterrupted services even with fluctuating network connectivity to the cloud. It performs all time-sensitive actions close to end users which meets latency constraints of IoT applications.
IoT applications where data is generated in terabytes or more, where a quick and large amount of data processing is required and sending data to the cloud back and forth is not feasible, are good candidates for fog computing. Fog computing provides real-time processing and event responses which are critical in healthcare. Besides, it also addresses issues regarding network connectivity and traffic required for remote storage, processing and medical record retrieval from the cloud.
Security and Privacy Issues of Fog Computing: A SurveyHarshitParkar6677
Abstract. Fog computing is a promising computing paradigm that ex-
tends cloud computing to the edge of networks. Similar to cloud comput-
ing but with distinct characteristics, fog computing faces new security
and privacy challenges besides those inherited from cloud computing. In
this paper, we have surveyed these challenges and corresponding solu-
tions in a brief manner.
A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing IJECEIAES
Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.
The Future of Fog Computing and IoT: Revolutionizing Data ProcessingFredReynolds2
Sending a business e-mail, watching a YouTube video, making an online video call meeting, or playing a video game online requires considerable data flow. It necessitates such massive data flow in the direction of servers in data centers. Cloud computing prefers remote data processing and substantial storage systems to develop online apps we use daily. But we must know that other decentralized cloud computing systems exist. Fog computing technology is growing wildly in popularity. As per fog technology experts, the global fog technology market will reach nearly $2.3 billion at the end of 2032. The market for fog technology was $196.7 million at the end of 2022.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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2. CONTENTS
Abstract
Introduction
Existing System
Proposed System
Characteristics of Fog Computing
Cloud Vs. Fog
Scenarios
Architecture
Applications
Examples of Fog Computing
Advantages
Disadvantages
Future Enhancement
Conclusion
References
3. • FOG Computing is an advanced or extended version of cloud computing
where the computing takes place at the edge of the network. There are many
companies currently spending a lot of research on this topic like Cisco etc.
• It is similar to cloud computing, but is far denser in geographical distribution
and location and its proximity to end users is more, which means they provide
a faster end-user experience than cloud computing and have better
performance.
• The questions about its complexity, practical feasibility, cost and performance
are arising in different research communities. There is also a major concern
about it's reliability or durability in performing all sorts of operations
performed by cloud computing systems.
ABSTRACT
4. INTRODUCTION
• CISCO recently delivered the vision of Fog computing to enable applications
on billions of connected devices to run directly at the network edge.
Customers can develop, manage and run software applications on Cisco
framework of networked devices, including hardened routers and switches.
Cisco brings the open source Linux and network operating system together in
a single networked device.
• Fog computing, also known as fog networking, is a decentralized
computing infrastructure in which computing resources and application
services are distributed in the most logical, efficient place at any point along
the continuum from the data source to the cloud. The goal of fog computing is
to improve efficiency and reduce the amount of data that needs to be
transported to the cloud for data processing, analysis and storage. This is often
done for efficiency reasons, but it may also be carried out for security
and compliance reasons.
5.
6. • A simple three level hierarchy as shown in above figure.
• In this framework, each smart things and intefaces is attached to one of
Fog devices. Fog devices could be interconnected and each of them is
linked to the Cloud.
Contd…
7. • Cloud computing has provided many opportunities for enterprises by
offering their customers a range of computing services. Current “pay-as-
you-go” Cloud computing model becomes an efficient alternative to
owning and managing private data centers for customers facing Web
applications
EXISTING SYSTEM
8. DISADVANTAGES
Existing data protection mechanisms such as encryption was failed in securing
the data from the attackers.
It does not verify whether the user was authorized or not.
Cloud computing security does not focus on ways of secure the data from
unauthorized access.
9. • Unlike traditional data centers, Fog devices are geographically distributed over
heterogeneous platforms, spanning multiple management domains. Cisco is
interested in innovative proposals that facilitate service mobility across
platforms, and technologies that preserve end-user and content security and
privacy across domains.
PROPOSED SYSTEM
10. ADVANTAGES
Fog can be distinguished from Cloud by its proximity to end-users.
The dense geographical distribution and its support for mobility.
It provides low latency, location awareness, and improves quality-of-
services(Qos) and real time applications.
11. CHARACTERISTICS OF FOG COMPUTING
Edge location, location awareness, and low latency : Fog computing support
endpoints with finest services at the edge of the network.
Geographical distribution : The services and application objective of the fog is
widely distributed.
Support for mobility : Using LISP protocol fog devices provide mobility
techniques like decouple host identity to location identity.
Real time interactions : fog computing requires real time interactions for speedy
service.
Heterogeneity : Fog nodes can be deployed in a wide variety of environments.
Interoperability : Fog components must be able to interoperate in order to give
wide range of services like streaming.
12. CLOUD vs. FOG
Fog – Solution to Cloud’s Limitations
• Reduction in data movement across the network resulting in reduced
congestion.
• Elimination of bottlenecks resulting from centralized computing
systems.
• Improved security of encrypted data as it stays closer to the end user.
15. The design of fog architecture or the key components of fog architecture are
discussed below:
• Heterogeneous Physical Resources
• Fog Abstraction Layer
• Fog Service Orchestration Layer
•Foglet Software Agent
•Distributed Database
•Policy-Based Service Orchestration
ARCHITECTURE OF FOG TECHNOLOGY
17. • Heterogeneous Physical Resources:
Heterogeneous in nature, ranging from high-speed links connecting enterprise
data centers and the core to multiple wireless access technologies towards the
edge. 3G/4G, LTE, Wi-Fi etc.
• Fog Abstraction Layer:
A uniform and programmable interface for seamless resource management an
d control.
The layer provides generic APIs for monitoring, provisioning and controlling
physical resources such as CPU, memory, network and energy.
18. • Fog Service Orchestration Layer:
Provides dynamic, policy-based life-cycle management of Fog services.
Managing services on a large volume of Fog nodes with a wide range of
capabilities is achieved with the following technology and components:
Foglet Software Agent,
Distributed Database, persistent storage to store policies and
resource meta-data,
Policy-Based Service Orchestration, provides policy-based
service routing, i.e., routes an incoming service request to the
appropriate service instance that confirms to the relevant business
policies.
19. Smart Grid:
Fog computing allows fast, machine-to-machine (M2M) handshakes and human
to machine interactions (HMI), which would work in cooperation with the
cloud.
Decentralized Smart Building Control:
Wireless sensors are installed to measure temperature, humidity, or levels of
various gaseous components in the building atmosphere.
Information can be exchanged among all sensors in the floor and the reading
can be combined to form reliable measurements.
Smart Cities:
Fog computing would be able to obtain sensor data on all levels, and integrate
all the mutually independent network entities within.
Health Care:
The cloud computing market for healthcare is expected to reach $5.4 billion by
2017, according to a Markets and Markets report, and fog computing would
allow this on a more localized level.
20. • Tech giants Cisco and IBM are the driving forces behind fog
computing, and link their concept to the emerging Internet of
Things (IoT).
• Fog has a direct correlation with IoT.
• According to CISCO, the important areas where fog would
play a vital role are the following :
APPLICATIONS OF FOG
21.
22. Connected cars
Fog computing is ideal for Connected Vehicles (CV) because real-time
interactions will make communications between cars, access points and traffic
lights as safe and efficient as possible.
At some point in time, the connected car will start saving lives by reducing
automobile accidents.
Fog computing will be the best option for all internet connected vehicles
because fog computing gives real time interaction.
24. In this subsection, we take Man-in-the-middle attack as
an example to expose the security problems in Fog Computing. In this attack,
gateways serving as Fog devices may be comprised or replaced by fake ones.
Man-In-The-Middle Attack:
25. Fog can be distinguished from Cloud by its proximity to end-users.
The dense geographical distribution and its support for mobility.
It provides low latency, location awareness, and improves quality-of-
services (QoS) and real time applications.
ADVANTAGES
Existing data protection mechanisms such as encryption was failed in
securing the data from the attackers.
It does not verify whether the user was authorized or not.
Cloud computing security does not focus on ways of secure the data from
unauthorized access.
DISADVANTAGES
26. Future work will expand on the Fog computing paradigm in Smart Grid. In
this scenario, two models for Fog devices can be developed. Independent
Fog devices consult directly with the Cloud for periodic updates on price
and demands, while interconnected Fog devices may consult each other.
Next, Fog computing based SDN in vehicular networks will receive due
attention.
FUTURE ENCHANCEMENT
27. Fog computing advantages for services in several domains, such as
Smart Grid, wireless sensor networks, Internet of Things (IoT) and
software defined networks (SDNs). We examine the state- of-the-art and
disclose some general issues in Fog computing including security,
privacy, trust, and service migration among Fog devices and between Fog
and Cloud.
CONCLUSION