Reliable And Intelligent Optimization In Multi Layered Cloud Computing Architectures

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Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures

Madhusudhan H. S.,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Reliable and Intelligent Optimization in Multi Layered Cloud Computing Architectures Book PDF

Author : Madhusudhan H. S.,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Publisher : CRC Press
Page : 224 pages
File Size : 41,8 Mb
Release : 2024-05-02
Category : Computers
ISBN : 9781040019085

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Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures by Madhusudhan H. S.,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia Pdf

One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem. Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include: Improving QoS and resource efficiency Fault-tolerant and reliable resource optimization models A reactive fault tolerance method using checkpointing restart Cost and network-aware metaheuristics. Virtual machine scheduling and placement Electricity consumption in cloud data centers Written by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.

Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures

H S Madhusudhan,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Reliable and Intelligent Optimization in Multi Layered Cloud Computing Architectures Book PDF

Author : H S Madhusudhan,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Publisher : Auerbach Publications
Page : 0 pages
File Size : 49,9 Mb
Release : 2024-05-02
Category : Electronic
ISBN : 1032553804

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Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures by H S Madhusudhan,Satish Kumar T,Punit Gupta,Dinesh Kumar Saini,Kashif Zia Pdf

The book examines virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of the cloud data center. The book also focuses on basic design principles and analysis of virtual machine placement techniques and tasks allocation techniques.

Machine Learning and Optimization Models for Optimization in Cloud

Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar
Machine Learning and Optimization Models for Optimization in Cloud Book PDF

Author : Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar
Publisher : CRC Press
Page : 232 pages
File Size : 45,8 Mb
Release : 2022-02-17
Category : Computers
ISBN : 9781000542257

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Machine Learning and Optimization Models for Optimization in Cloud by Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar Pdf

Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

Machine Learning and Optimization Models for Optimization in Cloud

Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A. Elngar
Machine Learning and Optimization Models for Optimization in Cloud Book PDF

Author : Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A. Elngar
Publisher : Chapman & Hall/CRC
Page : 0 pages
File Size : 41,6 Mb
Release : 2022
Category : Computers
ISBN : 1000542262

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Machine Learning and Optimization Models for Optimization in Cloud by Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A. Elngar Pdf

Machine Learning and Models for Optimization in Cloud's main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

Trust & Fault in Multi Layered Cloud Computing Architecture

Punit Gupta
Trust Fault in Multi Layered Cloud Computing Architecture Book PDF

Author : Punit Gupta
Publisher : Unknown
Page : 226 pages
File Size : 42,8 Mb
Release : 2020
Category : Cloud computing
ISBN : 3030373207

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Trust & Fault in Multi Layered Cloud Computing Architecture by Punit Gupta Pdf

This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond. Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user. The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality. This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users. Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation.

Managing Distributed Cloud Applications and Infrastructure

Theo Lynn,John G. Mooney,Jörg Domaschka,Keith A. Ellis
Managing Distributed Cloud Applications and Infrastructure Book PDF

Author : Theo Lynn,John G. Mooney,Jörg Domaschka,Keith A. Ellis
Publisher : Springer Nature
Page : 182 pages
File Size : 44,6 Mb
Release : 2020-07-20
Category : Business & Economics
ISBN : 9783030398637

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Managing Distributed Cloud Applications and Infrastructure by Theo Lynn,John G. Mooney,Jörg Domaschka,Keith A. Ellis Pdf

The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities.

Trust & Fault in Multi Layered Cloud Computing Architecture

Punit Gupta,Pradeep Kumar Gupta
Trust Fault in Multi Layered Cloud Computing Architecture Book PDF

Author : Punit Gupta,Pradeep Kumar Gupta
Publisher : Springer Nature
Page : 208 pages
File Size : 44,6 Mb
Release : 2020-01-20
Category : Technology & Engineering
ISBN : 9783030373191

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Trust & Fault in Multi Layered Cloud Computing Architecture by Punit Gupta,Pradeep Kumar Gupta Pdf

This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond. Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user. The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality. This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users. Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation.

Industrial Edge Computing

Xiaobo Zhou,Shuxin Ge,Jiancheng Chi,Tie Qiu
Industrial Edge Computing Book PDF

Author : Xiaobo Zhou,Shuxin Ge,Jiancheng Chi,Tie Qiu
Publisher : Springer
Page : 0 pages
File Size : 45,9 Mb
Release : 2024-09-26
Category : Computers
ISBN : 9819747511

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Industrial Edge Computing by Xiaobo Zhou,Shuxin Ge,Jiancheng Chi,Tie Qiu Pdf

This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector. In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency, bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT). Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Lopa Mandal,Joao Manuel R. S. Tavares,Valentina E. Balas
Proceedings of International Conference on Computational Intelligence Data Science and Cloud Computing Book PDF

Author : Lopa Mandal,Joao Manuel R. S. Tavares,Valentina E. Balas
Publisher : Springer Nature
Page : 466 pages
File Size : 46,9 Mb
Release : 2022-08-17
Category : Technology & Engineering
ISBN : 9789811916571

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Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by Lopa Mandal,Joao Manuel R. S. Tavares,Valentina E. Balas Pdf

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

The Cloud Computing Journey

Divit Gupta
The Cloud Computing Journey Book PDF

Author : Divit Gupta
Publisher : Packt Publishing Ltd
Page : 440 pages
File Size : 55,8 Mb
Release : 2024-01-05
Category : Computers
ISBN : 9781805121923

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The Cloud Computing Journey by Divit Gupta Pdf

Elevate your expertise and gain holistic insights into cloud technology with a focus on smoothly transitioning from on-premises to the cloud Key Features Analyze cloud architecture in depth, including different layers, components, and design principles Explore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and more Implement best practices and understand the use of various cloud deployment tools Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies. This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business. By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What you will learn Get to grips with the core concepts of cloud architecture and cost optimization Understand the different cloud deployment and service models Explore various cloud-related tools and technologies Discover cloud migration strategies and best practices Find out who the major cloud vendors are and what they offer Analyze the impact and future of cloud technology Who this book is for The book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology and want to deepen their understanding to optimize usage, will find this resource especially useful.

Fog Computing for Intelligent Cloud IoT Systems

Chandan Banerjee,Anupam Ghosh,Rajdeep Chakraborty,Ahmed A. Elngar
Fog Computing for Intelligent Cloud IoT Systems Book PDF

Author : Chandan Banerjee,Anupam Ghosh,Rajdeep Chakraborty,Ahmed A. Elngar
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 54,9 Mb
Release : 2024-07-03
Category : Computers
ISBN : 9781394174614

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Fog Computing for Intelligent Cloud IoT Systems by Chandan Banerjee,Anupam Ghosh,Rajdeep Chakraborty,Ahmed A. Elngar Pdf

FOG COMPUTING FOR INTELLIGENT CLOUD IOT SYSTEMS This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources. Fog computing has many benefits, such as reduced latency in processing data, better response time that helps the user’s experience, and security and privacy compliance that assures protecting the vital data in the cloud. It also reduces the cost of bandwidth, because the processing is achieved in the cloud, which reduces network bandwidth usage and increases efficiency as user devices share data in the local processing infrastructure rather than the cloud service. Fog computing has various applications across industries, such as agriculture and farming, the healthcare industry, smart cities, education, and entertainment. For example, in the agriculture industry, a very prominent example is the SWAMP project, which stands for Smart Water Management Platform. With fog computing’s help, SWAMP develops a precision-based smart irrigation system concept used in agriculture, minimizing water wastage. This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered. Audience The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems.

Swarm Intelligence for Cloud Computing

Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Swarm Intelligence for Cloud Computing Book PDF

Author : Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 198 pages
File Size : 51,7 Mb
Release : 2020-07-19
Category : Computers
ISBN : 9780429671760

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Swarm Intelligence for Cloud Computing by Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya Pdf

Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for reliable deployment, infrastructural stability, and security issues of cloud-based resources. Starting with a bird’s eye view on the prevalent state-of-the-art techniques, this book enriches the readers with the knowledge of evolving swarm intelligent optimized techniques for addressing different cloud computing issues including task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost-effective design, and energy efficiency. The book offers comprehensive coverage of the most essential topics, including: Role of swarm intelligence on cloud computing services Cloud resource sharing strategies Cloud service provider selection Dynamic task and resource scheduling Data center resource management. Indrajit Pan is an Associate Professor in Information Technology of RCC Institute of Information Technology, India. He received his PhD from Indian Institute of Engineering Science and Technology, Shibpur, India. With an academic experience of 14 years, he has published around 40 research publications in different international journals, edited books, and conference proceedings. Mohamed Abd Elaziz is a Lecturer in the Mathematical Department of Zagazig University, Egypt. He received his PhD from the same university. He is the author of more than 100 articles. His research interests include machine learning, signal processing, image processing, cloud computing, and evolutionary algorithms. Siddhartha Bhattacharyya is a Professor in Computer Science and Engineering of Christ University, Bangalore. He received his PhD from Jadavpur University, India. He has published more than 230 research publications in international journals and conference proceedings in his 20 years of academic experience.

Management Intelligent Systems

Jorge Casillas,Francisco J. Martínez-López,Rosa Vicari,Fernando De la Prieta
Management Intelligent Systems Book PDF

Author : Jorge Casillas,Francisco J. Martínez-López,Rosa Vicari,Fernando De la Prieta
Publisher : Springer Science & Business Media
Page : 152 pages
File Size : 54,5 Mb
Release : 2013-11-18
Category : Technology & Engineering
ISBN : 9783319005690

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Management Intelligent Systems by Jorge Casillas,Francisco J. Martínez-López,Rosa Vicari,Fernando De la Prieta Pdf

This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS). This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, ant algorithms, fuzzy rule-based systems, intelligent agents, Web mining, neural networks, Bayesian models, data warehousing, rough sets, etc. This volume also includes a track focused on the latest research on Intelligent Systems and Technology Enhanced Learning (iTEL), as well as its impacts for learners and institutions. It aims at bringing together researchers and developers from both the professional and the academic realms to present, discuss and debate the latest advances on intelligent systems and technology-enhanced learning The symposium was organized by the Soft Computing and Intelligent Information Systems Research Group (http://sci2s.ugr.es) of the University of Granada (Spain) and the Bioinformatics, Intelligent System and Educational Technology Research Group (http:// bisite.usal.es/) of the University of Salamanca (Spain). The present edition was held in Salamanca (Spain) on May 22–24, 2013.

Secure Edge Computing

Mohiuddin Ahmed,Paul Haskell-Dowland
Secure Edge Computing Book PDF

Author : Mohiuddin Ahmed,Paul Haskell-Dowland
Publisher : CRC Press
Page : 304 pages
File Size : 51,8 Mb
Release : 2021-08-12
Category : Computers
ISBN : 9781000427318

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Secure Edge Computing by Mohiuddin Ahmed,Paul Haskell-Dowland Pdf

The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

Evolving Technologies for Computing, Communication and Smart World

Pradeep Kumar Singh,Arti Noor,Maheshkumar H. Kolekar,Sudeep Tanwar,Raj K. Bhatnagar,Shaweta Khanna
Evolving Technologies for Computing Communication and Smart World Book PDF

Author : Pradeep Kumar Singh,Arti Noor,Maheshkumar H. Kolekar,Sudeep Tanwar,Raj K. Bhatnagar,Shaweta Khanna
Publisher : Springer Nature
Page : 536 pages
File Size : 47,9 Mb
Release : 2020-11-25
Category : Technology & Engineering
ISBN : 9789811578045

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Evolving Technologies for Computing, Communication and Smart World by Pradeep Kumar Singh,Arti Noor,Maheshkumar H. Kolekar,Sudeep Tanwar,Raj K. Bhatnagar,Shaweta Khanna Pdf

This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January–1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event. The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.