Genesis of Cloud-Based IoT Systems for Smart Generation

2018 ◽  
pp. 1-9
Author(s):  
Gurjit Kaur ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Iot Applications ◽  
Open Issues

Internet of Things (IoT) and Cloud computing are exceptionally different innovations that have become the backbone of the smart world. This paradigm where IoT and Cloud are integrated is anticipated as an empowering influence to an extensive number of smart applications. In this chapter, the integration of Cloud and IoT is explored. This chapter also provides a picture of the integration of Cloud IoT applications. Finally, some future open issues are described.

Unleashing the Convergence of Cloud Computing With Internet of Things

2021 ◽  
pp. 1-22
Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Martin Mabeifam Ujakpa ◽  
Anton Limbo ◽  
Gloria E. Iyawa ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Vital Role ◽  
The Internet ◽  
Research Topics ◽  
Computer Research ◽  
Future Direction ◽  
The Internet Of Things ◽  
Open Issues

The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.

Security Assertion of IoT Devices Using Cloud of Things Perception

2019 ◽  
Vol 11 (4) ◽  
pp. 17-31
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Communication Systems ◽  
Future Internet ◽  
Computing Systems ◽  
Iot Security ◽  
Security Assurance ◽  
Iot Applications ◽  
The Future ◽  
Iot Devices

Adoption of Internet of Things (IoT) and Cloud of Things (CoT) in the current developing technology era are expected to be more and more invasive, making them important mechanism of the future Internet-based communication systems. Cloud of Things and Internet of Things (IoT) are two emerging as well as diversified advanced domains that are diversified in current technological scenario. Paradigm where Cloud and IoT are merged together is foreseen as disruptive and as an enabler of a large number of application scenarios. Due to the adoption of the Cloud and IoT paradigm a number of applications are gaining important technical attention. In the future, it is going to be more complicated a setup to handle security in technology. Information till now will severely get changed and it will be very tough to keep up with varying technology. Organisations will have to repeatedly switch over to new skill-based technology with respect to higher expenditure. Latest tools, methods and enough expertise are highly essential to control threats and vulnerability to computing systems. Keeping in view the integration of Cloud computing and IoT in the new domain of Cloud of things, the said article provides an up-to-date eminence of Cloud-based IoT applications and Cloud of Things with a focus on their security and application-oriented challenges. These challenges are then synthesized in detail to present a technical survey on various issues related to IoT security, concerns, adopted mechanisms and their positive security assurance using Cloud of Things.

scholarly journals Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 972 ◽  
Author(s):  
Yasin Kabalci ◽  
Ersan Kabalci ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Smart Cities ◽  
Future Research ◽  
Smart Environments ◽  
Important Research ◽  
Energy Internet ◽  
Iot Applications ◽  
Research Areas ◽  
Open Issues

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.

Sensing as a Service in Cloud-Centric Internet of Things Architecture

2015 ◽  
pp. 83-115 ◽  
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Internet Of Things ◽  
Mobile Devices ◽  
Service Provider ◽  
The Internet ◽  
Communication Overhead ◽  
Future Directions ◽  
Iot Applications ◽  
Cloud Servers ◽  
The Internet Of Things ◽  
Open Issues

Sensing-as-a-Service (S2aaS) is a cloud-inspired service model which enables access to the Internet of Things (IoT) architecture. The IoT denotes virtually interconnected objects that are uniquely identifiable, and are capable of sensing, computing and communicating. Built-in sensors in mobile devices can leverage the performance of IoT applications in terms of energy and communication overhead savings by sending their data to the cloud servers. Sensed data from mobile devices can be accessed by IoT applications on a pay-as-you-go fashion. Efficient sensing service provider search techniques are emerging components of this architecture, and they should be accompanied with effective sensing provider recruitment algorithms. Furthermore, reliability and trustworthiness of participatory sensed data appears as a big challenge. This chapter provides an overview of the state of the art in S2aaS systems, and reports recent proposals to address the most crucial challenges. Furthermore, the chapter points out the open issues and future directions for the researchers in this field.

Anomaly Detection in Cloud Computing and Internet of Things Environments

2021 ◽  
pp. 811-823
Author(s):  
Rachid Cherkaoui ◽  
Mostapha Zbakh ◽  
An Braeken ◽  
Abdellah Touhafi
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Detection Techniques ◽  
Security Issues ◽  
Detection Systems ◽  
Iot Applications ◽  
Computing Services ◽  
Efficient Integration ◽  
Cloud Computing Services

This chapter contains the state of the art of the latest security issues of cloud computing as well as security issues of internet of things (IoT) applications. It discusses the integration of IoT platforms with cloud computing services, security of the hosted data, intrusion and anomaly detection techniques used to detect attacks in virtualized networks. The chapter also discusses some of the lightweight anomaly detection techniques to use in integrated constrained devices' ecosystems with cloud computing environments. This chapter focuses on efficient integration of cloud hosting with IoT applications as well as integration of lightweight intrusion detection systems in the latter environments.

Autonomic Trust Management in Cloud-Based and Highly Dynamic IOT Applications

2016 ◽  
Vol 1 (5) ◽  
pp. 26-32
Author(s):  
Suneth Namal ◽  
Hasindu Gamaarachchi ◽  
Gyu Myoung Lee ◽  
Tai-Won Um
Keyword(s):  
Cloud Computing ◽  
Feedback Control ◽  
Internet Of Things ◽  
Life Style ◽  
Trust Management ◽  
Control Loop ◽  
Management Framework ◽  
Iot Applications ◽  
Iot Devices ◽  
The Way

In this paper, we propose an autonomic trust management framework for cloud based and highly dynamic Internet of Things (IoT) applications and services. IoT is creating a world where physical objects are seamlessly integrated in order to provide advanced and intelligent services for humanbeings in their day-to-day life style. Therefore, trust on IoT devices plays an important role in IoT based services and applications. Cloud computing has been changing the way how provides are looking into these issues. Many studies have proposed different techniques to address trust management although non of them addresses autonomic trust management in cloud based highly dynamic IoT systems. To our understanding, IoT cloud ecosystems help to solve many of these issues while enhancing robustness and scalability. On this basis, we came up with an autonomic trust management framework based on MAPE-K feedback control loop to evaluate the level of trust. Finally, we presents the results that verify the effectiveness of this framework.

Processing IoT Data

2021 ◽  
pp. 920-943
Author(s):  
Pijush Kanti Dutta Pramanik ◽  
Saurabh Pal ◽  
Aditya Brahmachari ◽  
Prasenjit Choudhury
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Fog Computing ◽  
Batch Processing ◽  
Time Response ◽  
Iot Applications

This chapter describes how traditionally, Cloud Computing has been used for processing Internet of Things (IoT) data. This works fine for the analytical and batch processing jobs. But most of the IoT applications demand real-time response which cannot be achieved through Cloud Computing mainly because of inherent latency. Fog Computing solves this problem by offering cloud-like services at the edge of the network. The computationally powerful edge devices have enabled realising this idea. Witnessing the exponential rise of IoT applications, Fog Computing deserves an in-depth exploration. This chapter establishes the need for Fog Computing for processing IoT data. Readers will be able to gain a fair comprehension of the various aspects of Fog Computing. The benefits, challenges and applications of Fog Computing with respect to IoT have been mentioned elaboratively. An architecture for IoT data processing is presented. A thorough comparison between Cloud and Fog has been portrayed. Also, a detailed discussion has been depicted on how the IoT, Fog, and Cloud interact among them.

scholarly journals Integration of Cloud Computing, Big Data, Artificial Intelligence, and Internet of Things

2021 ◽  
Vol 16 (1) ◽  
pp. 10-17
Author(s):  
Drissi Saadia
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Detailed Analysis ◽  
New Paradigm ◽  
Research Papers ◽  
Research Issues ◽  
New Challenges ◽  
Open Issues

Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors center their attention on the integration of cloud, IoT, big data, and artificial intelligence. Several kinds of research papers have surveyed artificial intelligence, cloud, IoT, and big data separately and, more precisely, their main properties, characteristics, underlying technologies, and open issues. However, to the greatest of the authors' knowledge, these works require a detailed analysis of the new paradigm that combines the four technologies, which suggests completely new challenges and research issues. To bridge this gap, this paper presents a survey on the integration of cloud, IoT, artificial intelligence, and big data.

scholarly journals Edge-Computing Architectures for Internet of Things Applications: A Survey

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6441 ◽  
Author(s):  
Salam Hamdan ◽  
Moussa Ayyash ◽  
Sufyan Almajali
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Resource Limitation ◽  
Edge Computing ◽  
Iot Applications ◽  
Life Tasks ◽  
Iot Devices ◽  
Processing And Storage ◽  
Time Critical ◽  
And Storage

The rapid growth of the Internet of Things (IoT) applications and their interference with our daily life tasks have led to a large number of IoT devices and enormous sizes of IoT-generated data. The resources of IoT devices are limited; therefore, the processing and storing IoT data in these devices are inefficient. Traditional cloud-computing resources are used to partially handle some of the IoT resource-limitation issues; however, using the resources in cloud centers leads to other issues, such as latency in time-critical IoT applications. Therefore, edge-cloud-computing technology has recently evolved. This technology allows for data processing and storage at the edge of the network. This paper studies, in-depth, edge-computing architectures for IoT (ECAs-IoT), and then classifies them according to different factors such as data placement, orchestration services, security, and big data. Besides, the paper studies each architecture in depth and compares them according to various features. Additionally, ECAs-IoT is mapped according to two existing IoT layered models, which helps in identifying the capabilities, features, and gaps of every architecture. Moreover, the paper presents the most important limitations of existing ECAs-IoT and recommends solutions to them. Furthermore, this survey details the IoT applications in the edge-computing domain. Lastly, the paper recommends four different scenarios for using ECAs-IoT by IoT applications.

Sign in / Sign up

Export Citation Format

Share Document