CloudIoT Paradigm Research Articles

دمج انترنت الاشياء والحوسبة السحابية مع ضمان جودة الخدمة

Now a days the cloud computing and Internet of Things (IoT) become the most importance technologies that are both used in our life. As we know the Internet of Things (IoT) is generally characterized by real world small things,. It allows billions of devices to be connected and communicate with each other to share information that improves the quality of our daily lives. in the other ways, Cloud Computing has virtually unlimited capabilities in terms of storage and processing power, is a much more mature technology, and has most of the IoT issues at least partially solved. That is why their adoption and use are expected to be more extensive and more importance, thus, a novel IT paradigm in which Cloud and IOT are two complementary technologies merged together is expected to offer the best quality of services, and this new paradigm called Cloud Iot paradigm. Therefore, the integration of cloud and Internet of Things to providing the best service to users and have the highest level of customer satisfaction should always provide quality of service can be guaranteed. The purpose and the aim of this paper is to evaluate the integrity requirements of cloud services and Internet of Things, and to achieve this aim we used descriptive methodology to describe and to recognize about the cloud computing and the internet of things; so that quality of service in these services must be guaranteed. Keywords: Cloud Computing, Internet of Things, Cloud based IoT, Integration and quality of services.

CloudIoT paradigm acceptance for e-learning: analysis and future challenges

E-learning is the theme interrelated to the virtualized distance learning with the help of electronic communication machines, certainly with the help of Internet. CloudIoT paradigm is the combination of cloud resource and internet of thing which become prevalent now days due to the flexibility and fast access for those reason different countries used CloudIoT paradigm different purposes. E-learning is one of the best examples where virtual environment provides cost-effective alternative to physical labs as well as to run scientific applications. The world order change in education sector due to Covid-19 all activity shift in to e-learning system. In this paper we present the review about CloudIoT paradigm and it usage in e-learning system as well as we extant taxonomy of CloudIoT paradigm for e-leaning purpose. In the related work section we present the existing contribution in the field of e-learning using CloudIoT paradigm are highlighted. We also contemporaneous the most standard framework which carried out for e-leaning using CloudIoT paradigm is discuss. The contribution section of the paper present the issue being faced by in adopting CloudIoT paradigm for e-learning are discussed along with recommendation and future work.

A mathematical optimization model using red deer algorithm for resource discovery in CloudIoT

AbstractThe Internet of Things (IoT) and cloud computing are new concepts in revolutionized communication and information technologies. Different technologies, for example, transportation and healthcare, can benefit from Cloud of Things (CloudIoT) for mobile and fixed resource applications with great promises. Fixed and mobile resources are very important items in the CloudIoT paradigm because of the need for an appropriate discovery mechanism. In the present study, a mathematical optimization model is proposed for the minimization of bandwidth, cost, and response time of CloudIoT platforms with a special focus on the role of mobile and fixed resources in resource discovery. Additionally, this study presents a heuristic resource discovery algorithm using a mathematical optimization model (RDMOM). The mixed‐integer non‐linear programming is used to design the discovery mechanism. Furthermore, the optimization problem is solved using the red deer algorithm. Finally, the simulation results show a significant reduction in the latency, resource efficiency, and energy consumption, as well as an improvement in availability and success ratio, compared to previous algorithms. The RDMOM algorithm significantly improves the success ratio, energy consumption, resource efficiency, availability, and latency, respectively, by 18%, 21%, 24%, 17%, and 21% in comparison to other algorithms.

Role of Cloud Computing in IoT

Cloud computing and web of Things (IoT) square measure 2 terribly completely different technologies that square measure each already a part of our life. the web of Things (IoT) is turning into consecutive Internet-related revolution. It permits billions of devices to be connected and communicate with one another to share data that improves the standard of our daily lives. On the opposite hand, Cloud Computing provides on-demand, convenient and ascendable network access that makes it doable to share computing resources. Their adoption and use square measure expected to be additional and additional pervasive, creating them vital elements of the long run web. a unique paradigm wherever Cloud associate degreed IoT square measure united along is expected as rIoTous and as an enabler of an oversized range of application eventualities. during this paper, we have a tendency to focus our attention on the mixing of Cloud and IoT, that is decision the Cloud-IoT paradigm. several works in literature have surveyed Cloud and IoT severally and, additional exactly, their main properties, features, underlying technologies, and open problems. However, to the most effective of our data, these works lack a close analysis of the new Cloud-IoT paradigm, that involves utterly new applications, challenges, and analysis problems. To bridge this gap. The large range of resources accessible on the Cloud may be extraordinarily helpful for the IoT, whereas the Cloud will gain additional promotional material to enhance its limitations with universe objects during a additional dynamic and distributed manner.in this paper we offer a literature survey on the mixing of Cloud and IoT. beginning by analysing the fundamentals of each IoT and Cloud Computing, we have a tendency to discuss their complementarity, particularization what's presently driving to their integration.

The Paradigm of CloudIoT: Applications and Challenges

The convergence of Internet with the Radio Frequency Identification devices, sensors and other smart devices is termed as Internet-of-Things (IoT). In this concept, the present internet is extended to accommodate every such device which can be powered up or down. The future seems to be drowned in such sensing devices. IoT is seen as a whole new world in which most of the devices are connected and transmit information from one process, place or people to another. Such information could be processed and analyzed to provide understanding and insights. The basic idea of IoT is that it is virtually possible for every physical object in this world to become a computer. The recent advancements in technology have seen the shift of society towards an always connected paradigm that basically realizes the idea of “Internet of Everything (IoE)”. This article explores various aspects associated with Internet of Everything fuelled by Smart Sensor Technology. Further, the emergence of CloudIoT paradigm and various challenges associated with it have been discussed. The impact of COVID-19 on CloudIoT market has also been discussed in brief.

A Mutual Authentication Based on Multi Agent System for IoT-Cloud Paradigm

With the revolution of cloud computing and Internet of Things (IoT), users can access IoT services in different domain such as smart home, smart healthcare and smart factory. The connected device using sensors generates hundreds of real time communication that transfers sensitive user’s data to the cloud server. This sensitive information is transferred via an open and insecure channel. The Cloud-IoT paradigm has opened a new window of security challenges related to it. Therefore secure authentication schemes are of utmost importance to provide a secure access data and IoT services for legal users. This paper propose a secure distributed mutual authentication protocol based on our previous published scheme “Amrani et Al.”, suitable for IoT environment. Moreover we implement the proposed scheme using Multi Agent System (MAS) in JADE platform, analyze the results and compare its performance with “Hanaoui et Al.” scheme. The proposed protocol can also protect a Mobile Agent (MA) while carrying sensitive information, from IoT platform to Cloud Server.

Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm

Cloud computing and Internet of Things (IoT) are two of the most important technologies that have significantly changed human’s life. However, with the growing prevalence of Cloud-IoT paradigm, the load imbalance and higher SLA lead to more resource wastage and energy consumption. Although there are many researches that study Cloud-IoT from the perspective of offloading side, few of them have focused on how the offloaded workload are dealt with in Cloud. This paper proposes two IoT-aware multi-resource task scheduling algorithms for heterogeneous cloud environment namely main resource load balancing and time balancing. The algorithms aim to obtain better result of load balance, Service-Level Agreement (SLA) and IoT task response time and meanwhile to reduce the energy consumption as much as possible. They both are devised to assign single task to a properly selected Virtual Machine (VM) each time. The task placed in a pre-processed queue is assigned sequentially each time. And the VM selection rule is carried out based on the newly inventive ideas called relative load or relative time cost. Besides, two customized parameters that influence the result of pre-process tasks are provided for users or administrators to flexibly control the behavior of the algorithms. According to the experiments, the main resource load balancing performs well in terms of SLA and load balance, while time balancing is good at saving time and energy. Besides, both of them perform well in IoT task response time.

Cloud IoT as a Crucial Enabler: a Survey and Taxonomy

Commonly, the technology of information scales by an order of magnitude and with high probability reinvents itself every five years or so. However, the long-standing dream has definitely become a reality today that saying you need merely a credit card to get on-demand instant accesses to a large pool of thousands, if not millions of computers founded in tens of data centers scattered across the globe.
 
 As a matter of fact, Cloud Computing is indeed a new radical paradigm shift that evolved out of utmost needs for hosting and delivering all the things electronically as well-defined services over the Internet. Its aim is not only to provide improved computerized services but also innovative ones to every user from ordinary-home end-users to professional workers.
 
 Another further long-held dream of computing that has recently emerged as a reality is the CloudIoT paradigm where the cloud-based application platforms are enhanced to generate smart decisions and usable intelligence based on Internet-connected semi-autonomous smart small sensors that can sense, interrupt, and interchange data between each other as well as with the same computing clouds.
 
 With the intention of reaching the right cloud computing vision, it is, however, insufficient to just track a set of research and development actions that address the major concerns without practical support from both industrial and research communities. Rather, there is a necessity to enact a series of insight development strategies and policies that not only ensure that the right issues are well-timed addressed, but also that the most appropriate actions are taken and accomplished.
 
 Additionally, one of the key points to consider in this paper is that this in-depth evaluation of using Cloud computing may find points lacking in the cloud environments that could open up new research opportunities to be further investigated or enable new speed-to-market scenarios.

Toward an efficient healthcare CloudIoT architecture by using a game theory approach

The increasing adoption of the Internet of things and cloud computing in recent years provided the increasing development and improvement of various well-known approaches, such as the ambient assisted living approach. The merging of Internet of things and cloud brought about the so-called CloudIoT paradigm. CloudIoT intends to extend both technologies to make possible developing the next generation of smart environments, such as healthcare applications. New healthcare applications demand an increasing capacity of resources for storing, processing, and transmitting data. Looking at this scenario, along with the growing number of devices connected to the Internet of things, we must consider providing mechanisms to mitigate the excessive data offloading on the network, the latency between nodes, and even the unnecessary waste of computing power. In this article, we present an efficient and effective CloudIoT-based healthcare architecture for ambient assisted living environments. The innovation of our approach lies on the use of a game theory approach (by means of a stochastic search algorithm) to improve efficiency and latency of the CloudIoT network. This proposal aims to provide better availability levels to the whole environment. Experiments performed through simulation have shown us a remarkable improvement of network parameters, by applying a stochastic search algorithm called Gur game, when compared to a baseline application.

The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems

Cloud Computing (CC) and the Internet of Things (IoT) have emerged as new platforms in the ICT revolution of the twenty-first century. The adoption of the CloudIoT paradigm in the healthcare field can bring several opportunities to medical IT, and experts believe that it can significantly improve healthcare services and contribute to its continuous and systematic innovation. This paper presents a comprehensive review of the current literature on integration of CC and IoT to solving various problems in healthcare applications such as smart hospitals, medicine control, and remote medical services. Also, a brief introduction to cloud computing and internet of things with an application to health care is given. This paper presents a new concept of the integration of CC and IoT for healthcare applications, which is what we; call the CloudIoT-Health paradigm. The term CloudIoT-Health and some key integration issues are presented in this paper to offer a practical vision to integrate current components of CC and the IoT in healthcare applications. Also, this paper aims to present the state of the art and gap analysis of different levels of integration components, analyzing different existing proposals in CloudIoT-Health systems. Finally, related researches of CC and IoT integration for healthcare systems have been reviewed. Challenges to be addressed and future directions of research are identified, and an extensive bibliography is presented.

Integration of Cloud computing and Internet of Things: A survey

Cloud computing and Internet of Things (IoT) are two very different technologies that are both already part of our life. Their adoption and use are expected to be more and more pervasive, making them important components of the Future Internet. A novel paradigm where Cloud and IoT are merged together is foreseen as disruptive and as an enabler of a large number of application scenarios.In this paper, we focus our attention on the integration of Cloud and IoT, which is what we call the CloudIoT paradigm. Many works in literature have surveyed Cloud and IoT separately and, more precisely, their main properties, features, underlying technologies, and open issues. However, to the best of our knowledge, these works lack a detailed analysis of the new CloudIoT paradigm, which involves completely new applications, challenges, and research issues. To bridge this gap, in this paper we provide a literature survey on the integration of Cloud and IoT. Starting by analyzing the basics of both IoT and Cloud Computing, we discuss their complementarity, detailing what is currently driving to their integration. Thanks to the adoption of the CloudIoT paradigm a number of applications are gaining momentum: we provide an up-to-date picture of CloudIoT applications in literature, with a focus on their specific research challenges. These challenges are then analyzed in details to show where the main body of research is currently heading. We also discuss what is already available in terms of platforms–both proprietary and open source–and projects implementing the CloudIoT paradigm. Finally, we identify open issues and future directions in this field, which we expect to play a leading role in the landscape of the Future Internet.