A survey on fog computing for the Internet of Things (original) (raw)

A Review of Fog Computing Framework with IoT: Architecture, Integrations and Challenges

International Journal for Research in Applied Science and Engineering Technology -IJRASET, 2020

The classical centrally controlled cloud computing system faces several challenges as high latency, low capabilities, and networking inability with the explosive growth of Internet of Things (IoT) implementations. Fog computing takes the cloud closer to IoT devices in order to tackle these problems. Instead of being sent to the cloud, the fog supports local IoT data processing and shop. The fog provides quicker response and higher quality services than the cloud. Thus, fog computing can be seen as the best way to allow IoT to give many IoT users successful and safe services. In this review research work, we highlight the architecture of fog computing, the latest in the area of fog computing and its incorporation with IoT by underlining the advantages and difficulties of deployment. Eventually, there is a discussion of limitations and possible recommendations for fog computing and IoT research.

Fog Computing and the Internet of Things: A Review

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.

Role of Fog Computing in IoT based applications

Internet of things (IoT) services have been accepted and accredited globally for the past couple of years and have had increasing interest from researchers. Internet of Things (IoT), requires mobility support and geo-distribution in addition to location awareness and low latency. We argue that a new platform is needed to meet these requirements; a platform we call Fog

Fog Computing Fundamentals in the Internet-of-Things

Fog Computing in the Internet of Things, 2017

The functional separation of different system components has been used to address some critical challenges in architecture design. One of the well known approaches of physical separation of functional units is in client-server architectures. The server side of this separation is hidden inside the cloud infrastructure in the case of an Internet scale system. This model is serving a wide range of applications running over the Internet providing storage, computing power, and redundant services for reliability. However, in the new paradigm of the Internet-of-Things, the traditional separation partly fails to meet the set of system requirements. Fog computing is introduced as an intermediate layer between the clients and the Cloud. It brings computing, storage, management, and network services among others, closer to the sensor/actuator nodes. This book discusses the features of Fog computing, its advantages, internal details and present case studies to demonstrate it in real application scenarios. The focus of this chapter is to give an overview of Fog computing at a higher level.

Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey

IEEE Internet of Things Journal, 2021

A steady increase in Internet of Things (IoT) applications needing large-scale computation and long-term storage has lead to an over-reliance on Cloud computing. The resulting network congestion in Cloud, coupled with the distance of Cloud data centres from IoT, contribute to unreliable endto-end response delay. Fog computing has been introduced as an alternative to cloud, providing low-latency service by bringing processing and storage resources to the network edge. In this survey, we sequentially present the phases required in the implementation and realization of practical fog computing systems: (1) design & dimensioning of a fog infrastructure, (2) fog resource provisioning for IoT application use and IoT resource allocation to fog, (3) installation of fog frameworks for fog resource management, and (4) evaluation of fog infrastructure through simulation & emulation. Our focus is determining the implementation aspects required to build a practical large scale fog computing infrastructure to support the general IoT landscape.

A Review-Fog Computing and Its Role in the Internet of Things

Fog computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Dening characteristics of the Fog are: a) Low latency and location awareness; b) Widespread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Het-erogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid , Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).

The fog computing for internet of things: review, characteristics and challenges, and open issues

Bulletin of Electrical Engineering and Informatics

The internet of things (IoT) research envisions a world in which common place objects are linked to the internet and trade, store, process, and gather data from their surroundings. Due to their inherent resource limitations, IoT devices are typically unable to directly host application services, despite their increasing importance for facilitating the supply of data to enable electronic services. Since it can survive and work in tandem with centralized cloud systems and extends the latter toward the network edge, fog computing (FC) may be an appropriate paradigm to get around these restrictions. This paper reviews the overview of the IoT in terms of application and design parameters and FC. Meanwhile, this paper presents the architecture of fog computing for IoT (FC-IoT) in terms of communication, security, data quality, sensing and actuation management, codification, analysis, and decision-making. Additionally, this review provides several characteristics and challenges of FC-IoT. Finally, open issues for this paper have been discussed. This is an open access article under the CC BY-SA license.

360 Deg. Overview of Fog Computing

International Journal for Research in Applied Science and Engineering Technology, 2019

Fog Computing (introduced in 2012) is now considered to be the most prioritized choice for applications of Internet of Things. Fog Computing allows to move a part of the processing in the cloud to the network devices present along the node to the cloud. It makes communications and storage services in proximity to the end user. It is used to well support time dependent, location dependent, massive scale, and latency sensitive applications. Fog computing makes the task laid-back for cloud by filtering the needless data before forwarding the data to the cloud. This paper is assembled into two parts. The first part covers the basic outline and architecture of fog. The second part talks about the working of Fog Computing and its benefits and limitations.

A Review of Research Opportunities in Fog and IoT

International Journal of Innovative Research in Computer Science & Technology, 2021

Within cloud-to-things gamut, Fog is an embryonic design for storing data, performing computations, controlling applications that allocates many of such facilities to the end users. It is applicable to both wireline and mobile situations, spans software as well as hardware, sits on the edge of network as well as among end users and across access networks, and encompasses control as well as data planes. The review spots most noteworthy applications of fog computing. It supports an increasing number of applications as an architecture that includes fifth-generation (5G) wireless systems, Internet of Things (IoT), and integrated artificial intelligence (AI). The possibilities and problems of fog are summarized in this survey study, which focuses mainly on the networking environment of IoT. Fog is importance edge's stems from the conventional cloud's inadequacies as well as the development of new possibilities for the IoT, 5G, and embedded AI.

Envisioning Internet of Things using Fog Computing

International Journal of Advanced Computer Science and Applications, 2018

Internet of Things is the future of the Internet. It encircles a wide scope. There are currently billions of devices connected to the Internet and this trend is expecting to grow exponentially. Cisco predicts there are at present 20 billion connected devices. These devices, along with their varied data types, transmission rates and communication protocols connect to the Internet seamlessly. The futuristic implementation of Internet of Things across various scenarios demands the real time performance delivery. These range from RFID connected devices to huge data centers. Until date, there is no single communication protocol available for envisioning IoT. There is still no common, agreed upon architecture. Hence, huge challenges lie ahead. One of the ways to envision Internet of Things is to make use of Fog Networks. Fog is essentially a cloudlet, located nearer to the ground. It offers lower latency and better bandwidth conservation. The Fog or Fog computing is a recent concept. The OpenFog Consortium is a joint effort of many vendors. Its latest work is the background study for realizing Fog as a possible paltform for activating Internet of Things. This paper revolves around Envisioning Internet of Things using Fog computing. It begins with a detailed background study of Internet of Things and Fog Architecture. It covers applications and scenarios where such knowledge is highly applicable. The paper concludes by proposing Fog Computing as a possible platform for Internet of Things.