fog computing 2021




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

Fog computing is a decentralized computing infrastructure in which data, compute, storage and applications are located somewhere between the data source and the cloud. Like edge computing, fog computing brings the advantages and power of the cloud closer to where data is created and acted upon.

Fog computing uses the concept of ‘fog nodes. ‘ These fog nodes are located closer to the data source and have higher processing and storage capabilities. Fog nodes can process the data far quicker than sending the request to the cloud for centralized processing

Fog computing helps to create low-latency network connections between devices and their analytics endpoints. This architecture, in turn, reduces the amount of bandwidth needed when compared to the cloud. It can also be used in scenarios where there is no bandwidth connection needed to transfer data.

Application management in fog computing environments: A taxonomy, review and future directions
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The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart environments in various domains. The IoT-enabled cyber-physical systems associated with smart city, healthcare, Industry 4.0 and Agtech handle a huge volume of data and require

Classification of optimization problems in fog computing
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Fog computing combines cloud services with geographically distributed resources near the network edge to offer computational offloading possibilities to end devices, featuring low latency. Optimization of various metrics (latency, bandwidth, energy consumption etc.) plays In recent decade, the number of devices involved with the Internet of Things (IoT) phenomena has increased dramatically. Parallel to this, fog computing paradigm has been introduced in order to support the computational demand of latency-sensitive and real-timeA key application of the Internet of Things (IoT) paradigm lies within industrial contexts. Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry 4.0, promises to revolutionize production and manufacturing through the use of large

Design and application of fog computing and Internet of Things service platform for smart city
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Fog computing and Internet of Things technology play a prominent role in the construction of smart cities, which can greatly promote the exchange and management of urban information. Emerging network technologies such as fog computing and the Internet of

A secure authenticated and key exchange scheme for fog computing
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Fog computing architecture is used in various environments such as smart manufacturing, vehicular ad hoc networks. However, as an extension of cloud computing inheriting security challenges of cloud computing is inevitable. Recently, Jia et al. proposed an authenticated Fog computing is an emerging paradigm in provisioning computing and storage resources for the Internet-of-Things (IoT) devices. In a fog computing system, all devices can offload their data or computationally intensive tasks to nearby fog nodes, instead of to the distant As the extension of cloud computing and a foundation of IoT, fog computing is experiencing fast prosperity because of its potential to mitigate some troublesome issues, such as network congestion, latency, and local autonomy. However, privacy issues and the subsequent

On the classification of fog computing applications: A machine learning perspective
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Currently, Internet applications running on mobile devices generate a massive amount of data that can be transmitted to a Cloud for processing. However, one fundamental limitation of a Cloud is the connectivity with end devices. Fog computing overcomes this limitation and Powered by a number of smart devices distributed throughout the whole network, the Internet of Things (IoT) is supposed to provide services computing for massive data from devices. Fog computing an extension of cloud-based IoT-oriented solutions, has emerged

COMITMENT: A fog computing trust management approach
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As an extension of cloud computing fog computing is considered to be relatively more secure than cloud computing due to data being transiently maintained and analyzed on local fog nodes closer to data sources. However, there exist several security and privacy Industrial cyber-physical-social systems (CPSSs), a prominent data-driven paradigm, tightly couple and coordinat social space into cyber-physical systems (CPSs) within industrial environments. With the proliferation of cloud- fog computing cloud- fog computing becomes Abstract Edge/ Fog Computing enables mobility support, location awareness and low latency by offloading cloud resources and services to the edge. Researchers and practitioners have embraced Edge/ Fog Computing as a new approach that has the potential for a profound

Blockchain and fog computing for cyberphysical systems: The case of smart industry
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Blockchain and fog computing are being evaluated as potential support for software and a wide spectrum of critical applications. This article presents the knowledge of blockchain and fog computing required to improve cyberphysical systems. Emerging challenges and issues

Network-aware optimization of distributed learning for fog computing
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Fog computing promises to enable machine learning tasks to scale to large amounts of data by distributing processing across connected devices. Two key challenges to achieving this are (i) heterogeneity in devices compute resources and (ii) topology constraints on which

Comparison of alternative architectures in fog computing
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Since the proliferation of fog computing various distributed architectures have been proposed to extend the cloud to the edge of the network. However, so far there exists no study that compares different fog computing architectures, and produces quantitative results

MAFC: Multi-agent fog computing model for healthcare critical tasks management
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In healthcare applications, numerous sensors and devices produce massive amounts of data which are the focus of critical tasks. Their management at the edge of the network can be done by Fog computing implementation. However, Fog Nodes suffer from lake of

QoS-aware service provisioning in fog computing
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Fog computing has emerged as a complementary solution to address the issues faced in cloud computing . While fog computing allows us to better handle time/delay-sensitive Internet of Everything (IoE) applications (eg smart grids and adversarial environment), there Currently, technology greatly benefits the area of healthcare. Modern computers can quickly process a large volume of patient health records. Due to recent advances in the area of Internet of Things and healthcare, patient data can be dispersed in multiple locations. As a Load scheduling has been a major challenge in distributed fog computing environments for meeting the demands of decision-making in real-time. This research proposes an quantumized approach for scheduling heterogeneous tasks in fog computingbased

Fog computing systems: State of the art, research issues and future trends
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Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide

ABDKS: attribute-based encryption with dynamic keyword search in fog computing
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Attribute-based encryption with keyword search (ABKS) achieves both fine-grained access control and keyword search. However, in the previous ABKS schemes, the search algorithm requires that each keyword between the target keyword set and the ciphertext keyword set With the advent of new technologies, such as software-defined networks (SDN) and fog computing and the development of communication technology and the vehicular industry, there has been a remarkable growth in intelligent transportation systems (ITS) in recent Fog Computing (FC) utilizes the resources close to the edge of the network. It supports real time applications such as healthcare, industrial systems, and intelligent traffic signs. FC needs data to be cached in various intermediate nodes to be easily found by the network

Securing communication between fog computing and iot using constrained application protocol (coap): A survey
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Nowadays, cloud computing and IoT devices are widely used and involved in our life. However, the current cloud computing paradigm still have some limitation mainly related to the latency, location, and mobility. Thus, to overcome such limitations, Fog Computing was

A novel fog computing approach for minimization of latency in healthcare using machine learning
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In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog computing technology emerges as an Abstract Global-scale Internet of Things (IoT) applications commonly process a huge amount of data and quickly provide useful information (to users) and instructions to monitor or control the physical world; most of these services are required to be of low latency while satisfyingAs most vehicles remain parked 95% of its time, this suggests that leveraging the use of On- board Units (OBUs) in parked vehicles would provide communication and computation services to other mobile and fixed nodes for delivery of services such as multimedia

Fog computing for healthcare 4.0 environments
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Over the last few decades, we have witnessed various trends in industry standards and applications. For example, Industry 1.0 focused on mechanical engineering and automation, whereas Industry 2.0 focused on electrical energy. The third generation is Industry 3.0

A novel trust mechanism based on Fog Computing in Sensor Cloud System
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Tian Wanga,b, Guangxue Zhanga, MD Zakirul Alam Bhuiyanc, Anfeng Liud, Weijia Jiae, Mande Xief,* a College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China b School of Computer Science and Educational Software, Guangzhou University

Fog computing : security challenges and countermeasures
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Innovative technologies such as cloud computing systems provide global cooperative services for end users and medium-large companies. Fog computing extends cloud computing storage networking and computing capabilities to edge and backbone servers onFog computing has become a popular concept in the application of internet of things (IoT). With the superiority in better service providing, the edge cloud has become an attractive solution to IoT networks. The data outsourcing scheme of IoT devices demands privacy Tool condition monitoring (TCM) during the manufacturing process is of great significance for ensuring product quality and plays an important role in intelligent manufacturing. Current TCM systems deployed in the local device or cloud computing environment unable meet the Abstract The potent concept of fog computing is currently attracting many researchers as it brings cloud services closer to the end-user Despite its compelling advantages, fog computing is still an evolving paradigm that demands further research

Fog computing mitigate limitations of cloud computing
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In todays world, cloud computing is the most exciting and advanced technology. It came into existence with lots of advantages, but cloud-only computing has some disadvantages also like latency in real-time data processing, network congestion, less bandwidth utilization, fault Currently, technology greatly benefits the area of healthcare. Modern computers can quickly process a large volume of patient health records. Due to recent advances in the area of Internet of Things and healthcare, patient data can be dispersed in multiple locations. As a Load scheduling has been a major challenge in distributed fog computing environments for meeting the demands of decision-making in real-time. This research proposes an quantumized approach for scheduling heterogeneous tasks in fog computingbased

Fog computing systems: State of the art, research issues and future trends
free download

Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide

ABDKS: attribute-based encryption with dynamic keyword search in fog computing
free download

Attribute-based encryption with keyword search (ABKS) achieves both fine-grained access control and keyword search. However, in the previous ABKS schemes, the search algorithm requires that each keyword between the target keyword set and the ciphertext keyword set With the advent of new technologies, such as software-defined networks (SDN) and fog computing and the development of communication technology and the vehicular industry, there has been a remarkable growth in intelligent transportation systems (ITS) in recent Fog Computing (FC) utilizes the resources close to the edge of the network. It supports real time applications such as healthcare, industrial systems, and intelligent traffic signs. FC needs data to be cached in various intermediate nodes to be easily found by the network

Securing communication between fog computing and iot using constrained application protocol (coap): A survey
free download

Nowadays, cloud computing and IoT devices are widely used and involved in our life. However, the current cloud computing paradigm still have some limitation mainly related to the latency, location, and mobility. Thus, to overcome such limitations, Fog Computing was

A novel fog computing approach for minimization of latency in healthcare using machine learning
free download

In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog computing technology emerges as an Abstract Global-scale Internet of Things (IoT) applications commonly process a huge amount of data and quickly provide useful information (to users) and instructions to monitor or control the physical world; most of these services are required to be of low latency while satisfyingAs most vehicles remain parked 95% of its time, this suggests that leveraging the use of On- board Units (OBUs) in parked vehicles would provide communication and computation services to other mobile and fixed nodes for delivery of services such as multimedia

Fog computing for healthcare 4.0 environments
free download

Over the last few decades, we have witnessed various trends in industry standards and applications. For example, Industry 1.0 focused on mechanical engineering and automation, whereas Industry 2.0 focused on electrical energy. The third generation is Industry 3.0

A novel trust mechanism based on Fog Computing in Sensor Cloud System
free download

Tian Wanga,b, Guangxue Zhanga, MD Zakirul Alam Bhuiyanc, Anfeng Liud, Weijia Jiae, Mande Xief,* a College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China b School of Computer Science and Educational Software, Guangzhou University

Fog computing : security challenges and countermeasures
free download

Innovative technologies such as cloud computing systems provide global cooperative services for end users and medium-large companies. Fog computing extends cloud computing storage networking and computing capabilities to edge and backbone servers onFog computing has become a popular concept in the application of internet of things (IoT). With the superiority in better service providing, the edge cloud has become an attractive solution to IoT networks. The data outsourcing scheme of IoT devices demands privacy Tool condition monitoring (TCM) during the manufacturing process is of great significance for ensuring product quality and plays an important role in intelligent manufacturing. Current TCM systems deployed in the local device or cloud computing environment unable meet the Abstract The potent concept of fog computing is currently attracting many researchers as it brings cloud services closer to the end-user Despite its compelling advantages, fog computing is still an evolving paradigm that demands further research

Fog computing mitigate limitations of cloud computing
free download

In todays world, cloud computing is the most exciting and advanced technology. It came into existence with lots of advantages, but cloud-only computing has some disadvantages also like latency in real-time data processing, network congestion, less bandwidth utilization, fault

Digital Certificate Verification Scheme for Smart Grid using Fog Computing (FONICA). Sustainability 202 1 2549
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Smart Grid (SG) infrastructure is an energy network connected with computer networks for communication over the internet and intranets. The revolution of SGs has also introduced new avenues of security threats. Although Digital Certificates provide countermeasures

PF-BVM: A Privacy-aware Fogenhanced Blockchain Validation Mechanism.
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Keywords: Privacy, Fog Computing Blockchain, IoT, Validation, Trust. Abstract Fog computing is one of the recently emerged paradigms that needs to be improved to serve Internet of Things (IoT) environments of the future. In

Resource Management Techniques in Vehicular Fog Computing : A Brief Survey
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Fog Computing is a promising solution designed to address the delay and the overuse of radio resources required for cloud access. To reduce latency and optimize the bandwidth usage, the cloud is to be placed on the network edge. This definition has recently been

Anti-Leakage Client-Side Deduplication with Ownership Management in Fog Computing .
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In commercial fog computing block-level client-side deduplication (BC-Dedu) can be used to save storage space and network bandwidth. However, the existing BC-Dedu schemes cannot support ownership management, which leads to the degradation of forward and

Fog Computing : A New Model Of Internet Based Computing
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Fog computing is a new model in the field of information and communication technology. Fog computing is also known as fog network or fogging. It is an extension of cloud computing and helps to increase the working speed of it. Fog computing works in-between

An Efficient Impersonation Attack Detection Method in Fog Computing
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Fog computing paradigm extends computing communication, storage, and network resources to the networks edge. As the fog layer is located between cloud and end-users, it can provide more convenience and timely services to end-users. However, in fog computing

Scheduling in Fog Computing : A Survey
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Fog computing provides computation, storage and network services for smart manufacturing. However, in a smart factory, the task requests, terminal devices and fog nodes have very strong heterogeneity, such as the different task characteristics of terminal equipment: fault

HEALTHCARE USING FOG COMPUTING WITH EDGE DEVICES
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ABSTRACT The Fog Computing (FC) is a developing processing innovation expects to bring distributed computing highlights near edge gadgets. The methodology is to diminish idleness necessity for medicinal services Internet-of-Things (IoT), edge gadgets. Medicinal

Proposed Methods for Establishing Load Balancing in Fog Computing : A Survey
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Activating application programs among millions of devices in the Internet of things in fog computing needs edge networks. Cloud and data fog computing provide computation, storage and application service for endusers. One of the significant features of fog

An analysis of standardized data for fog computing storage capacity using non-relational database
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Computer applications nowadays relies on physical storage either to store the computation information or for the application itself. As the application become more complex and being used day after day, the data will be growing causing issue with lack of free space especially

AN INVESTIGATION OF DIGITAL FORENSICS FOR SHAMOON ATTACK BEHAVIOUR IN FOG COMPUTING AND THREAT INTELLIGENCE FOR INCIDENT
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Cyber related crimes are increasing nowadays. Thus digital forensics has been employed in solving cybercrimes. Several researches have been done where they have analysed cyber related attacks, malware types, etc. Researches based on studying and analysing Advanced

Reinforcement Learning System for Application Placement in Fog Computing Environment
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The technology of the Internet and mobile devices led the rapid development of cloud computing and IoT. As a result, problems such as data growth and real-time sensitive data processing face the technological limitations of cloud computing . To solve these problems, a

A Comprehensive Method on Fog Computing using Internet-of-Things
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The Internet of Things (IoT) characterizes a significant transformation of the way in which our todays world is expected to interact. IoT is an emerging technology connecting the users towards number of things namely smart phones, smart TV, smart electronic goods like Air

PARTICLE SWARM OPTIMIZATION FOR DECTECTION AND CLASSIFICATION OF APT ATTACK IN FOG COMPUTING ENVIROMENT (IDF-FPSO)
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The hough there are several approaches to detect the malware attacks in cloud, the detection techniques could not be applied in FOG based environment. This is because of its possession of distinct features. As FOG computing has been evolving, it is mandatory to

Introduction to the Minitrack on Internet of Things Security: CyberAssurance for Edge, Software Defined, and Fog Computing Systems
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T Brooks, SK Chin Proceedings of the 54th Hawaii International 128.171.57.22 The objective of this mini-track is to increase the visibility of current research and emergent trends in Cyber-Assurance theory, application, embedded security and machine-learning for the Internet of Things (IoT), software-defined networks (SDN)/network function virtualization

A Study on Review and Analysis of Cloud, Fog and Edge Computing Platforms
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Now a days the need for data is rapidly increasing globally at faster rate, it is necessary to deal with data safely In order to deal with data, we require some of the services like cloud and fog computing . These two computing platforms provide firms to run the communication With the rapid growth of Internet-of-Things (IoT) applications, data volumes have been considerably increased. The processing resources of IoT nodes cannot cope with such huge workloads. Processing parts of the workload in clouds could solve this problem, but the

A Systematic Literature Review on Fog Computing
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The growth and usage of Fog computing is drastically growing in the field of cloud-based solutions. Rather than the required services provided by the Cloud to the Internet of Things (IoT) systems Fog has been used in variety of services. Fog Computing moves the storage

APPLICATION OF IMAGE PROCESSING IN FOG COMPUTING
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Abstract The Internet of Things devices incorporate sensors for sensing and sending data, and Cloud infrastructure, for data analysis. Instead of using Cloud infrastructure, Fog computing could be also used as it brings the data analysis closer to the sensing area. In

Security and Privacy issues of Fog Computing
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Fog processing is a promising registering worldview that extends distributed computing to the edge of systems. Like cloud computing yet with unmistakable attributes, haze registering faces new security, whats more, security challenges other than those acquired from