scholarly journals Healthcare Informatics and Monitoring System based on Fog Computing

2019 ◽  
Vol 9 (1) ◽  
pp. 6988-6991
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
Wearable Sensors ◽  
Medical Practitioner ◽  
Multiple Time ◽  
End User ◽  
Time Domain Data ◽  
Three Layer Architecture ◽  
Risk Patients

Wireless sensor networks and internet of things are widely used in healthcare industry. In today’s scenario wearable sensors become very popular devices to monitor patients at high risk. Patients who are suffering from long lasting sickness visits hospital at multiple time for their regular check-up. Treatment from this kind of system increases the expenditure in overall for the patients. However, with recent technological innovation such as cloud and fog computing, with minimal expense on storage and computing facilities these problems are overcome. In this paper, we provide an analysis of fog computing role over cloud computing to monitor patient’s health to provide context aware services without delay to the end user when it required to patient and medical practitioner. Three layer architecture is proposed for real time domain data storage, processing and communication. This increase the capability of cloud computing with the integration to fog computing for current and future use application.

scholarly journals Reliablity in the Fog Computing

10.29007/nc47 ◽  
2018 ◽  
Author(s):  
Manu Sharma
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
Cloud Environment ◽  
End User ◽  
Computing Technology ◽  
Digital Innovation ◽  
Security Issues ◽  
Remote Server ◽  
The World

In the world of Digital Innovation “Cloud Computing” is not just a word or a technology but a paramount to the organizations now days. Because it is not easy to store, compute the data on an internet and central remote server to manage a huge bulk of data and information. It is well known that cloud computing provides data, storage of data, computation of data to the end user also by providing the services to the end users by the different applications. So, now the Fog Computing Is generally a concept to extend the cloud computing technology as it also does the same function which cloud computing functionality as well. It is not the replacement but the enhanced version of cloud which provides a security on the cloud environment by isolating user’s data which is saved on the Edge Devices. Fog Computing enables a user to save their data to nearby devices. In this paper the security issues also the technology which is used for security in this enhanced concept of cloud is mentioned.

A Study on Capabilities and Challenges of Fog Computing

2019 ◽  
pp. 249-273
Author(s):  
R. Priyadarshini ◽  
N. Malarvizhi ◽  
E. A. Neeba
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
End Users ◽  
Information Measure ◽  
New Paradigm ◽  
Control Activity ◽  
Management Functions ◽  
Future Topics

Fog computing is a new paradigm believed to be an extension of cloud computing and services to the sting of the network. Similarly, like Cloud, Fog provides computing, data, storage, and various application services to the connected end-users. Fog computing uses one or a lot of combined end users or nearby end users edge devices to perform the configuration, communication, storage, control activity, and management functions over the infrastructure supported. This new paradigm solves the latency and information measure limitation issues encountered from the cloud computing. Primarily, the architecture of the fog computing is discussed and analyzed during this work and then indicates the connected potential security and trust problems. Then, however such problems are tackled within the existing literature is systematically reportable. Finally, the open challenges, analysis, trends, and future topics of security and trust in fog computing are mentioned.

Introduction to Fog Computing

2019 ◽  
pp. 1-35
Author(s):  
Stojan Kitanov ◽  
Toni Janevski
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
High Mobility ◽  
End Users ◽  
Mobile Edge Computing ◽  
New Paradigm ◽  
Research Directions ◽  
Intelligent Networking ◽  
High Scalability

Pushing computing, control, data storage, and processing into the cloud has been a key trend in the past decade. However, the cloud alone encounters growing limitations, such as reduced latency, high mobility, high scalability, and real-time execution in order to meet the upcoming computing and intelligent networking demands. A new paradigm called fog computing has emerged to overcome these limits. Fog extends cloud computing and services to the edge of the network. It provides data, computing, storage, and application services to end-users that can be hosted at the network edge. It reduces service latency, and improves QoS/QoE, that results in superior user experience. This chapter is about introduction and overview of fog computing, comparison between fog computing and cloud computing, fog computing and mobile edge computing, possible fog computing architecture, applications of fog computing, and possible research directions.

Confidentiality and Safekeeping Problems and Techniques in Fog Computing

2021 ◽  
pp. 1855-1873
Author(s):  
Nida Kauser Khanum ◽  
Pankaj Lathar ◽  
G. M. Siddesh
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Fog Computing ◽  
Video Stream ◽  
Security And Privacy ◽  
Surveillance Video ◽  
Speech Data ◽  
Real Time Applications ◽  
Privacy Issues ◽  
Intrusion Detection And Prevention

Fog computing is an extension of cloud computing, and it is one of the most important architypes in the current world. Fog computing is like cloud computing as it provides data storage, computation, processing, and application services to end-users. In this chapter, the authors discuss the security and privacy issues concerned with fog computing. The issues present in cloud are also inherited by fog computing, but the same methods available for cloud computing are not applicable to fog computing due to its decentralized nature. The authors also discuss a few real-time applications like healthcare systems, intelligent food traceability, surveillance video stream processing, collection, and pre-processing of speech data. Finally, the concept of decoy technique and intrusion detection and prevention technique is covered.

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

Vehicular Fog Computing

2017 ◽  
Vol 1 (2) ◽  
pp. 15-23 ◽  
Author(s):  
Varun G. Menon ◽  
Joe Prathap
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Fog Computing ◽  
Security And Privacy ◽  
Future Research ◽  
Collision Warning ◽  
Efficient Resource ◽  
Hoc Networks

In recent years Vehicular Ad Hoc Networks (VANETs) have received increased attention due to its numerous applications in cooperative collision warning and traffic alert broadcasting. VANETs have been depending on cloud computing for networking, computing and data storage services. Emergence of advanced vehicular applications has led to the increased demand for powerful communication and computation facilities with low latency. With cloud computing unable to satisfy these demands, the focus has shifted to bring computation and communication facilities nearer to the vehicles, leading to the emergence of Vehicular Fog Computing (VFC). VFC installs highly virtualized computing and storage facilities at the proximity of these vehicles. The integration of fog computing into VANETs comes with a number of challenges that range from improved quality of service, security and privacy of data to efficient resource management. This paper presents an overview of this promising technology and discusses the issues and challenges in its implementation with future research directions.

Data Storage in the Fog Computing for Smart Environment Monitoring System (SEMS)

2019 ◽  
Vol 16 (8) ◽  
pp. 3196-3200
Author(s):  
M. Jalasri ◽  
S. Nalini ◽  
N. Magesh Kumar ◽  
J. Elumalai
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Fog Computing ◽  
Mobile App ◽  
Smart Environment ◽  
Air Quality Management ◽  
Environment Monitoring ◽  
Basic Parameters

Environment monitoring system for smart cities uses diverse kind of sensors which is used to accumulate the information for managing the resources efficiently. Environment monitoring system provides services such as automation of home, weather monitoring, air quality management and prediction of pollution. This paper presents the customized design on environment monitoring the basic parameters are temperature, humidity and CO2. These sensed data need to be stored and processed. In previous system, sensed data are stored using cloud computing. In proposed system, Fog computing is used to store the sensed data from smart environment monitoring system (SEMS) and transfer the data to the mobile app from the fog device which is more efficient than cloud computing.

scholarly journals A Survey on Data Integrity Methods in Cloud Storage

2020 ◽  
Author(s):  
Anil Kumar G
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Data Integrity ◽  
Data Consistency ◽  
Maintenance Cost ◽  
End User ◽  
Local Storage

Cloud computing offers different kind of servicesto the end user, so that end user can store the data and access iton demand where ever they need it. Now days IT industries areoutsourcing their data by storing it remotely in cloud forreducing the load on local storage there by reducing thehardware, software and maintenance cost. In spite of thesebenefits, the major problem with data storage is that there is noguarantee of data consistency and integrity, which has become amajor hurdle for using the services offered by cloud. So thispaper surveys existing schemes that proves data integrity andretrievability.

Fog Computing and Networking Architectures

2019 ◽  
pp. 53-67
Author(s):  
Minal Moharir ◽  
Bharat Rahuldhev Patil
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Airport Security ◽  
Low Latency ◽  
Use Case ◽  
Effective Solution ◽  
End User ◽  
Primary Motivation ◽  
Networking Architectures ◽  
Fog Network

The demerits of cloud computing lie in the velocity, bandwidth, and privacy of data. This chapter focuses on why fog computing presents an effective solution to cloud computing. It first explains the primary motivation behind the use of fog computing. Fog computing, in essence, extends the services of the cloud towards the edge of the network (i.e., towards the devices nearer to the customer or the end user). Doing so offers several advantages. Some of the discussed advantages are scalability, low latency, reducing network traffic, and increasing efficiency. The chapter then explains the architecture to implement a fog network, followed by its applications. Some commercial fog products are also discussed, and a use case for an airport security system is presented.

scholarly journals FOG computing and its various uses in different applications

2018 ◽  
Vol 7 (2.7) ◽  
pp. 345
Author(s):  
Chandra Sekhar Maganty ◽  
Kothamasu Kiran Kumar
Keyword(s):  
Cloud Computing ◽  
High Speed ◽  
Fog Computing ◽  
End User ◽  
New Era ◽  
Streaming Applications ◽  
Computing Model ◽  
Use Of Resources ◽  
To Come ◽  
Edge And Fog Computing

Cloud computing is the transformation, which involves storing large applications where data or information is exchanged among differ-ent platforms for giving good service to clients who belong to different organizations. It assures great use of resources by making data, software and infrastructure available with minimal cost along with security and reliability. Even though cloud computing gives many advantages, it has certain limitations like network congestion, fault tolerance, less bandwidth etc. To come out of this issue a new era computing model is introduced called Fog Computing. This new computing model can transfer fragile data without any delay to other devices in the network. The only difference between both is fog is located more close to the end user or the device and gives response to the client instantly. Moreover, it is beneficial to the real time streaming applications, internet of things which need reliable internet con-nectivity along with high speed. This paper is a review on Fog Computing, differences in edge and fog computing, use cases of fog and the architecture.

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