Download or read book IoT Enabled Secured Fog Based Cloud Server Management Using Task Prioritization Strategies written by Alanazi Rayan and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things (IoT) enabled services are the major and prominent need over the information technology industry. IoT environment provide services to present technology devices to make a global communication without any region or location based restrictions. The data from anywhere in the globe can easily be communicated to the remote server without any boundary limitations by using this IoT services. This is the reason most of the companies and firms trying to accumulate the benefits of this IoT services. The remote server is nothing but a Cloud environment, in which the data to be stored in the remote place for processing, instead of that to maintain in the local space. The cloud computing strategies are most admirable to all fields for handling the data in more secure manner over the remote place by using cloud default crypto strategies. This paper consider all these benefits and provide an excellent solution to the organizations to manage all required information over cloud environment without any flaws and problems. In this paper, various technology adaptations are blended together and provide a unique solution to data management process, the technologies handled over this paper are: IoT, Cloud Computing, Machine Learning and Fog Services. The concept of IoT is used to collect the data from locally placed sensor and pushing all the data to remote cloud server vice versa collect the data from remote server and manipulate that into local device operations if necessary. The cloud computing process are required to collect the data from IoT devices and stored those into the server, in which the Task Prioritization logic is applied in this paper to evaluate the prioritized tasks and pushing that into the remote cloud server, remaining non-prioritized data to be maintained into the fog environment. This is achieved by using machine learning strategies, in which the algorithm of Artificial Neural network is used over this approach to task manipulations. The concept of squirrel optimization algorithm is obtained in this proposed approach to perform efficient searching schemes to retrieve the data from cloud environment. A Local Search establishment scheme allows the system to search for the data based on its features and retrieve the respective results from server based on the feature selection process. The concept of Squirrel Optimization algorithm and the Local Search optimization algorithm is efficiently used in this proposed approach for generating the priority token to the classification algorithm, by means of analyzing the present data from IoT sensors to the already trained data over the server. The data presented in the remote cloud server will be analyzed by using Squirrel Optimization algorithm and the local fog data is analyzed by using Local Search Optimization algorithm. These two algorithms are operating in hybrid manner to generate the priority token based on the trained data availability over cloud and the resulting priority token is provided to the ANN algorithm for classification process, based on the priority token the classification algorithm operates and provide the perfect outcome. This process of task prioritization assures the reduction over cloud traffic scenarios and provides higher searching as well as processing efficiency. The fog computing principles are established in this approach to maintain the non-prioritized records received from IoT sensors/devices. The proposed paper assures the cost efficient and secured task prioritization process over cloud environment using machine learning principles.

Download or read book Fog and Fogonomics written by Yang Yang and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE ONE-STOP RESOURCE FOR ANY INDIVIDUAL OR ORGANIZATION CONSIDERING FOG COMPUTING Fog and Fogonomics is a comprehensive and technology-centric resource that highlights the system model, architectures, building blocks, and IEEE standards for fog computing platforms and solutions. The "fog" is defined as the multiple interconnected layers of computing along the continuum from cloud to endpoints such as user devices and things including racks or microcells in server closets, residential gateways, factory control systems, and more. The authors noted experts on the topic review business models and metrics that allow for the economic assessment of fog-based information communication technology (ICT) resources, especially mobile resources. The book contains a wide range of templates and formulas for calculating quality-of-service values. Comprehensive in scope, it covers topics including fog computing technologies and reference architecture, fog-related standards and markets, fog-enabled applications and services, fog economics (fogonomics), and strategy. This important resource: Offers a comprehensive text on fog computing Discusses pricing, service level agreements, service delivery, and consumption of fog computing Examines how fog has the potential to change the information and communication technology industry in the next decade Describes how fog enables new business models, strategies, and competitive differentiation, as with ecosystems of connected and smart digital products and services Includes case studies featuring integration of fog computing, communication, and networking systems Written for product and systems engineers and designers, as well as for faculty and students, Fog and Fogonomics is an essential book that explores the technological and economic issues associated with fog computing.

Download or read book Cloud and Fog Computing Platforms for Internet of Things written by Pankaj Bhambri and published by CRC Press. This book was released on 2022-06-07 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge. Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions. Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of Things Recent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets

Download or read book Fog Computing in the Internet of Things written by Amir M. Rahmani and published by Springer. This book was released on 2017-05-29 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Download or read book The Cloud in IoT enabled Spaces written by Fadi Al-Turjman and published by CRC Press. This book was released on 2019-07-31 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Cloud in IoT-enabled Spaces addresses major issues and challenges in IoT-based solutions proposed for the Cloud. It paves the way for IoT-enabled spaces in the next generation cloud computing paradigm and opens the door for further innovative ideas. Topics include Cloud-based optimization in the IoT era, scheduling and routing, medium access, data caching, secure access, uncertainty, home automation, machine learning in wearable devices, energy monitoring, and plant phenotyping in farming. Smart spaces are solutions where Internet of Things (IoT)-enabling technologies have been employed towards further advances in the lifestyle. It tightly integrates with the existing Cloud infrastructure to impact several fields in academia and industry. The Cloud in IoT-enabled Spaces provides an overview of the issues around small spaces and proposes the most up-to-date alternatives and solutions. The objective is to pave the way for IoT-enabled spaces in the next-generation Cloud computing and open the door for further innovative ideas.

Download or read book Task Scheduling in Fog Environment Using Deep Reinforcement Learning Strategy written by Shashank Swarup and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cloud computing market is dominated by service-providing companies, including but not limited to Microsoft, AWS, Salesforce, and Google to name a few. These cloud service providers have witnessed tremendous development in their infrastructure to support the performance requests of customers. In order to stand by their service level agreements (SLAs) the computing demands of the customers are met. There's a pressing need to bring distributed virtual machines to customer devices to cater to the task(s) latency constraints. A task can be classified as high latency, low latency, and ultra-low latency task. High latency tasks are those tasks that require extensive computation time. An example of high latency task is downloading a 4k image on a device that is located far away from the host server. Usually, any task that requires more than 200ms to execute is known as a high latency task [7]. Whereas low and ultra low latency tasks are usually linked with Internet-of-Things (IoT) devices that must converge to completion in a very short duration (a few seconds). An example of such a task includes streaming a live event, as it crucially depends on how low is the end-to-end latency [76]. It is not possible to rely on a cloud data center that is geographically far from the IoT devices for low and ultra-low latency tasks. Unlike the traditional cloud, fog computing and edge computing enable us to bridge the distance between services (virtual machines) and IoT devices, allowing us to handle with tasks that demand faster execution. The emerging fog computing technology is characterized by ultra-low latency tasks that benefit time-sensitive applications and services. Quality of service (QoS) is the description or measurement of the overall performance of a service. Minimizing energy and time while meeting users' QoS preferences is critical for cloud service providers to maximize profits while maintaining users' service level agreements (SLA). Allocating user tasks to appropriate virtual machines is an essential topic that contributes in minimizing the time and energy consumed by virtual machines in the cloud. Thus, this thesis proposes clipped double Q-learning, a deep reinforcement learning algorithm by coupling with LSTM for state-action pair forecasting to allocate tasks to their respective virtual machines. Two other algorithms: LSTM-RNN and Deep Q-network base task scheduling, are also proposed in this research to automate the process of allocating tasks to the virtual machines that enhance the performance of the system. The proposed Clipped Deep Double Q-Learning algorithm achieves the desired results by improving the system's performance by decreasing average service delay, execution and waiting times and several other metrics detailed in this thesis.

Download or read book Edge Fog Computing Technologies for IoT Infrastructure written by Taehong Kim and published by Mdpi AG. This book was released on 2021-09-24 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies.

Download or read book Security Designs for the Cloud IoT and Social Networking written by Dac-Nhuong Le and published by John Wiley & Sons. This book was released on 2019-10-10 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media.

Download or read book Intelligent Computing on IoT 2 0 Big Data Analytics and Block Chain Technology written by Mohammad S. Obaidat and published by CRC Press. This book was released on 2024-05-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches. The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas. It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, artificial intelligence, and information technology. Researchers and professionals will also find this book very useful.

Download or read book Enabling Blockchain Technology for Secure Networking and Communications written by Ben Mnaouer, Adel and published by IGI Global. This book was released on 2021-06-11 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the surge of blockchain technology has been rising due to is proven reliability in ensuring secure and effective transactions, even between untrusted parties. Its application is broad and covers public and private domains varying from traditional communication networks to more modern networks like the internet of things and the internet of energy crossing fog and edge computing, among others. As technology matures and its standard use cases are established, there is a need to gather recent research that can shed light on several aspects and facts on the use of blockchain technology in different fields of interest. Enabling Blockchain Technology for Secure Networking and Communications consolidates the recent research initiatives directed towards exploiting the advantages of blockchain technology for benefiting several areas of applications that vary from security and robustness to scalability and privacy-preserving and more. The chapters explore the current applications of blockchain for networking and communications, the future potentials of blockchain technology, and some not-yet-prospected areas of research and its application. This book is ideal for practitioners, stakeholders, researchers, academicians, and students interested in the concepts of blockchain technology and the potential and pitfalls of its application in different utilization domains.

Download or read book Big Data Analytics in Fog Enabled IoT Networks written by Govind P. Gupta and published by CRC Press. This book was released on 2023-04-19 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks. This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.

Download or read book Fog and Edge Computing written by Rajkumar Buyya and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to Fog and Edge applications, architectures, and technologies Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies. Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing Examines methods to optimize virtualized, pooled, and shared resources Identifies potential technical challenges and offers suggestions for possible solutions Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management Includes access to a website portal for advanced online resources Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.

Download or read book The Cloud to Thing Continuum written by Theo Lynn and published by Springer Nature. This book was released on 2020-07-07 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about theInternet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates.

Download or read book Research Anthology on Convergence of Blockchain Internet of Things and Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-07-08 with total page 1363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of technology has proven to be a threat to personal data, cyberspace protection, and organizational security. However, these technologies can be used to enhance the effectiveness of institutional security. Through the use of blockchain and the internet of things (IoT), organizations may combat cybercriminals and better protect their privacy. The Research Anthology on Convergence of Blockchain, Internet of Things, and Security describes the implementation of blockchain and IoT technologies to better protect personal and organizational data as well as enhance overall security. It also explains the tools, applications, and emerging innovations in security and the ways in which they are enhanced by blockchain and IoT. Covering topics such as electronic health records, intrusion detection, and software engineering, this major reference work is an essential resource for business leaders and executives, IT managers, computer scientists, hospital administrators, security professionals, law enforcement, students and faculty of higher education, librarians, researchers, and academicians.

Download or read book Internet of Everything written by Beniamino Di Martino and published by Springer. This book was released on 2017-10-15 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the Internet of Everything and related fields. The Internet of Everything adds connectivity and intelligence to just about every device, giving it special functions. The book provides a common platform for integrating information from heterogeneous sources. However, this can be quite reductive, as the Internet of Everything provides links not only among things, but also data, people, and business processes. The evolution of current sensor and device networks, with strong interactions between people and social environments, will have a dramatic impact on everything from city planning, first responders, the military and health. Such a shared ecosystem will allow for the interaction between data, sensor inputs and heterogeneous systems. Semantics is a fundamental component of this since semantic technologies are able to provide the necessary bridge between different data representations, and to solve terminology incongruence. Integrating data from distributed devices, sensor networks, social networks and biomedical instruments requires, first of all, the systematization of the current state of the art in such fields. Then, it is necessary to identify a common action thread to actually merge and homogenize standards and techniques applied in such a heterogeneous field. The exact requirements of an Internet of Everything environment need to be precisely identified and formally expressed, and finally, the role of modern computing paradigms, such as Cloud and Fog Computing, needs to be assessed with respect to the requirements expressed by an Internet of Everything ecosystem.

Download or read book Computational Intelligence in Communications and Business Analytics written by Kousik Dasgupta and published by Springer Nature. This book was released on 2023-11-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023. The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.

Download or read book Novel Practices and Trends in Grid and Cloud Computing written by Raj, Pethuru and published by IGI Global. This book was released on 2019-06-28 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business and IT organizations are currently embracing new strategically sound concepts in order to be more customer-centric, competitive, and cognitive in their daily operations. While useful, the various software tools, pioneering technologies, as well as their unique contributions largely go unused due to the lack of information provided on their special characteristics. Novel Practices and Trends in Grid and Cloud Computing is a collection of innovative research on the key concerns of cloud computing and how they are being addressed, as well as the various technologies and tools empowering cloud theory to be participative, penetrative, pervasive, and persuasive. While highlighting topics including cyber security, smart technology, and artificial intelligence, this book is ideally designed for students, researchers, and business managers on the lookout for innovative IT solutions for all the business automation software and improvisations of computational technologies.