State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing

2016 ◽  
Vol 67 ◽  
pp. 99-117 ◽  
Author(s):  
Manuel Díaz ◽  
Cristian Martín ◽  
Bartolomé Rubio
2019 ◽  
Vol 6 (2) ◽  
pp. 1-12
Author(s):  
Gesoon j.k Al-Abass ◽  
Huda R. ALkifaey

"Internet of things (IoT) domain targets human with smart resolutions through the connection of “M2M” in all over the world, effectively. It was difficult to ignore domain importance field of IoT with the new deployment of applications such as smartphone in recent days. The most important layer in architecture of IoT is network layer, because of various systems (perform of cloud computing, switching, hub, gateway, so on), different technologies of connection (Long-Term Evolution (LTE), WIFI, Bluetooth, etc.) gathered in layer. Network layers should transfer the information from or to various applications/objects, via gateways/interfaces between networks that are heterogeneous, therefore utilizing different connection technologies, protocols. Recent work highlighted IoT technologies state-of-the-art utilized in architectures of IoT, some variations among them in addition to the applications of them in life."


Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Martin Mabeifam Ujakpa ◽  
Anton Limbo ◽  
Gloria E. Iyawa ◽  
...  

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.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3182
Author(s):  
Chang Choi ◽  
Gianni D’Angelo ◽  
Francesco Palmieri

This Special Issue aims at collecting several original state-of-the-art research experiences in the area of intelligent applications in the IoT and Sensor networks environment, by analyzing several open issues and perspectives associated with such scenarios, in order to explore novel potentialities and solutions and face with the emerging challenges.


Author(s):  
Gurjit Kaur ◽  
Pradeep Tomar

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.


Author(s):  
Drissi Saadia

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.


2019 ◽  
Vol 11 (11) ◽  
pp. 238
Author(s):  
Alreshidi ◽  
Ahmad ◽  
B. Altamimi ◽  
Sultan ◽  
Mehmood

Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by cloud computing servers. Software architecture helps to abstract the complexities of system design, development, and evolution phases to implement MCC systems effectively and efficiently. This paper aims to identify, taxonomically classify, and systematically map the state of the art on architecting MCC-based software. We have used an evidence-based software engineering (EBSE) approach to conduct a systematic mapping study (SMS) based on 121 qualitatively selected research studies published from 2006 to 2019. The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data. The emerging research focuses on the existing and futuristic challenges that relate to MCC-based internet of things (IoTs), mobile-cloud edge systems, along with green and energy-efficient computing. The results of the SMS facilitate knowledge transfer that could benefit researchers and practitioners to understand the role of software architecture to develop the next generation of mobile-cloud systems to support internet-driven computing.


Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1252 ◽  
Author(s):  
Bahram Shakerighadi ◽  
Amjad Anvari-Moghaddam ◽  
Juan Vasquez ◽  
Josep Guerrero

Author(s):  
Raúl Alanis-Teutle ◽  
Yuridia Ramirez-Chocolatl ◽  
Mariela Juana Alonso-Calpeño ◽  
Julieta Santander-Castillo

In this article we show the results of the application of an architecture based on Internet of things for the production of vermicompost through an interface that allows to monitor and collect temperature, humidity, and pH data through intelligent sensors that use the cloud computing service. The methodology used for the construction of the architecture was based on a search of the state of the art in open databases. For the implementation of the same, a pure experiment with a dependent variable and two independent ones was built. The results obtained by the measurements made during a period of four months, allowed to create grapHs where the constant temperature changes are observed in a range of 19 to 27 ° C, humidity in the range of 41% to 85% and the pH of 5 to 8.4 in the acid of the substrate. This information obtained in a ubiquitous way, helped the user to generate a weekly plan for irrigation, aeration, and mixing of the vermicompost, in order to reduce time, costs and human effort. It also helped maintain optimal environmental conditions for the reproduction of earthworms.


2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Sanjeev Kumar Dwivedi ◽  
Priyadarshini Roy ◽  
Chinky Karda ◽  
Shalini Agrawal ◽  
Ruhul Amin

Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF), and trust issues exist in the IoT system. Blockchain is one of the promising technologies that can bring about opportunities for addressing the challenges of IoT systems. In this article, we have investigated the integration of IoT with blockchain technology and provided an in-depth study of the blockchain-enabled IoT and IIoT systems. The state-of-the-art research is categorized into data storage and management technique, big data and cloud computing technique (finance and data auditing), and industrial sectors (supply chain, energy, and healthcare sector). The insightful discussion based on the different categories is also presented in the paper. In particular, first, we introduce the IoT and IIoT and then discuss the need for smart contracts in IoT and IIoT systems. Next, we concentrate on the convergence of blockchain and IoT with state-of-the-art research. In addition, this article also provides the open and future research directions towards this era with the highlighted observations.


Sign in / Sign up

Export Citation Format

Share Document