Artificial Intelligence For Cloud And Edge Computing

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Artificial Intelligence for Cloud and Edge Computing

Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg
Artificial Intelligence for Cloud and Edge Computing Book PDF

Author : Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg
Publisher : Springer Nature
Page : 358 pages
File Size : 46,9 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9783030808211

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Artificial Intelligence for Cloud and Edge Computing by Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg Pdf

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Edge AI

Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
Edge AI Book PDF

Author : Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
Publisher : Springer Nature
Page : 156 pages
File Size : 48,8 Mb
Release : 2020-08-31
Category : Computers
ISBN : 9789811561863

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Edge AI by Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen Pdf

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Artificial Intelligence and Machine Learning for EDGE Computing

Rajiv Pandey,Sunil Kumar Khatri,Neeraj Kumar Singh,Parul Verma
Artificial Intelligence and Machine Learning for EDGE Computing Book PDF

Author : Rajiv Pandey,Sunil Kumar Khatri,Neeraj Kumar Singh,Parul Verma
Publisher : Academic Press
Page : 516 pages
File Size : 49,5 Mb
Release : 2022-04-26
Category : Science
ISBN : 9780128240557

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Artificial Intelligence and Machine Learning for EDGE Computing by Rajiv Pandey,Sunil Kumar Khatri,Neeraj Kumar Singh,Parul Verma Pdf

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

Artificial Intelligence for Cloud and Edge Computing for Super Networks -5G: How to Monetize 5G Super Networks for Cloud and Edge Computing using AI

Sajjad Ahmad
Artificial Intelligence for Cloud and Edge Computing for Super Networks 5G How to Monetize 5G Super Networks for Cloud and Edge Computing using AI Book PDF

Author : Sajjad Ahmad
Publisher : Sajjad ahmad
Page : 106 pages
File Size : 41,6 Mb
Release : 2024-04-01
Category : Computers
ISBN : 9798321323854

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Artificial Intelligence for Cloud and Edge Computing for Super Networks -5G: How to Monetize 5G Super Networks for Cloud and Edge Computing using AI by Sajjad Ahmad Pdf

"Artificial Intelligence for Cloud and Edge Computing for Super Networks -5G" Harnessing 5G and Edge Cloud Computing for Business Innovation is a comprehensive guidebook that delves into the transformative potential of edge cloud computing in conjunction with 5G networks. Authored by industry experts, the book offers a detailed exploration of how these cutting-edge technologies intersect to revolutionize various business sectors. From healthcare and industrial automation to sports venues and entertainment, the book provides insightful use cases, real-life examples, and practical strategies for leveraging edge computing to drive innovation, enhance operational efficiency, and unlock new revenue streams. With a focus on business-to-business applications, the book serves as a roadmap for organizations seeking to capitalize on the power of edge computing and 5G to stay ahead in today's digital landscape.

Explainable Edge AI: A Futuristic Computing Perspective

Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg
Explainable Edge AI A Futuristic Computing Perspective Book PDF

Author : Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg
Publisher : Springer Nature
Page : 187 pages
File Size : 41,9 Mb
Release : 2022-11-10
Category : Technology & Engineering
ISBN : 9783031182921

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Explainable Edge AI: A Futuristic Computing Perspective by Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg Pdf

This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.

Artificial Intelligence for Edge Computing

Mudhakar Srivatsa,Tarek Abdelzaher,Ting He
Artificial Intelligence for Edge Computing Book PDF

Author : Mudhakar Srivatsa,Tarek Abdelzaher,Ting He
Publisher : Springer Nature
Page : 373 pages
File Size : 51,8 Mb
Release : 2024-01-10
Category : Technology & Engineering
ISBN : 9783031407871

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Artificial Intelligence for Edge Computing by Mudhakar Srivatsa,Tarek Abdelzaher,Ting He Pdf

It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as “Google Home”, “Alexa”, and “ChatGPT” becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a domain where computational intelligence has always been envisioned as a transformative force toward a better tomorrow. Depending on the application family, this domain is often referred to as Ubiquitous Computing, Cyber-Physical Computing, or the Internet of Things. The underlying vision is driven by the proliferation of cheap embedded computing hardware that can be integrated easily into myriads of everyday devices from consumer electronics, such as personal wearables and smart household appliances, to city infrastructure and industrial process control systems. One common trait across these applications is that the data that the application operates on come directly (typically via sensors) from the physical world. Thus, from the perspective of communication network infrastructure, the data originate at the network edge. From a performance standpoint, there is an argument to be made that such data should be processed at the point of collection. Hence, a need arises for Edge AI -- a genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the edge where the data originate. The book is broken down into three parts: core problems, distributed problems, and other cross-cutting issues. It explores the challenges arising in Edge AI contexts. Some of these challenges (such as neural network model reduction to fit resource-constrained hardware) are unique to the edge environment. They need a novel category of solutions that do not parallel more typical concerns in mainstream AI. Others are adaptations of mainstream AI challenges to the edge space. An example is overcoming the cost of data labeling. The labeling problem is pervasive, but its solution in the IoT application context is different from other contexts. This book is not a survey of the state of the art. With thousands of publications appearing in AI every year, such a survey is doomed to be incomplete on arrival. It is also not a comprehensive coverage of all the problems in the space of Edge AI. Different applications pose different challenges, and a more comprehensive coverage should be more application specific. Instead, this book covers some of the more endemic challenges across the range of IoT/CPS applications. To offer coverage in some depth, we opt to cover mainly one or a few representative solutions for each of these endemic challenges in sufficient detail, rather that broadly touching on all relevant prior work. The underlying philosophy is one of illustrating by example. The solutions are curated to offer insight into a way of thinking that characterizes Edge AI research and distinguishes its solutions from their more mainstream counterparts.

Edge Intelligence in the Making

Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Edge Intelligence in the Making Book PDF

Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Publisher : Morgan & Claypool Publishers
Page : 235 pages
File Size : 48,7 Mb
Release : 2020-10-21
Category : Computers
ISBN : 9781681739915

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Edge Intelligence in the Making by Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang Pdf

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.

Machine Learning for Edge Computing

Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani
Machine Learning for Edge Computing Book PDF

Author : Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani
Publisher : CRC Press
Page : 235 pages
File Size : 50,6 Mb
Release : 2022-07-29
Category : Computers
ISBN : 9781000609240

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Machine Learning for Edge Computing by Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani Pdf

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

Applied Edge AI

Pethuru Raj,G. Nagarajan,R.I. Minu
Applied Edge AI Book PDF

Author : Pethuru Raj,G. Nagarajan,R.I. Minu
Publisher : CRC Press
Page : 334 pages
File Size : 47,7 Mb
Release : 2022-04-06
Category : Computers
ISBN : 9781000552690

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Applied Edge AI by Pethuru Raj,G. Nagarajan,R.I. Minu Pdf

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

Convergence of Cloud with AI for Big Data Analytics

Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Convergence of Cloud with AI for Big Data Analytics Book PDF

Author : Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 55,8 Mb
Release : 2023-03-21
Category : Computers
ISBN : 9781119904885

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Convergence of Cloud with AI for Big Data Analytics by Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya Pdf

CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.

AI, IoT, Big Data and Cloud Computing for Industry 4.0

Amy Neustein,Parikshit N. Mahalle,Prachi Joshi,Gitanjali Rahul Shinde
AI IoT Big Data and Cloud Computing for Industry 4 0 Book PDF

Author : Amy Neustein,Parikshit N. Mahalle,Prachi Joshi,Gitanjali Rahul Shinde
Publisher : Springer Nature
Page : 589 pages
File Size : 51,5 Mb
Release : 2023-07-31
Category : Technology & Engineering
ISBN : 9783031297137

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AI, IoT, Big Data and Cloud Computing for Industry 4.0 by Amy Neustein,Parikshit N. Mahalle,Prachi Joshi,Gitanjali Rahul Shinde Pdf

This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML

EdgeAI for Algorithmic Government

Rajan Gupta,Sanjana Das,Saibal Kumar Pal
EdgeAI for Algorithmic Government Book PDF

Author : Rajan Gupta,Sanjana Das,Saibal Kumar Pal
Publisher : Springer Nature
Page : 109 pages
File Size : 44,7 Mb
Release : 2023-03-26
Category : Political Science
ISBN : 9789811997983

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EdgeAI for Algorithmic Government by Rajan Gupta,Sanjana Das,Saibal Kumar Pal Pdf

The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

Edge Computational Intelligence for AI-Enabled IoT Systems

Dinda Pramanta,Jaiprakash Dwived,Shrikaant Kulkarni,Yuichiro Tanaka
Edge Computational Intelligence for AI Enabled IoT Systems Book PDF

Author : Dinda Pramanta,Jaiprakash Dwived,Shrikaant Kulkarni,Yuichiro Tanaka
Publisher : CRC Press
Page : 0 pages
File Size : 44,7 Mb
Release : 2024-02-26
Category : Computers
ISBN : 1032207663

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Edge Computational Intelligence for AI-Enabled IoT Systems by Dinda Pramanta,Jaiprakash Dwived,Shrikaant Kulkarni,Yuichiro Tanaka Pdf

The book discusses the major contributions in the Edge AI domain of IoT systems: heterogeneous micro clusters employed for processing data and for exploiting adopted AI algorithms for the predictive analysis and or prescription.

Predictive Analytics in Cloud, Fog, and Edge Computing

Hiren Kumar Thakkar,Chinmaya Kumar Dehury,Prasan Kumar Sahoo,Bharadwaj Veeravalli
Predictive Analytics in Cloud Fog and Edge Computing Book PDF

Author : Hiren Kumar Thakkar,Chinmaya Kumar Dehury,Prasan Kumar Sahoo,Bharadwaj Veeravalli
Publisher : Springer Nature
Page : 252 pages
File Size : 46,9 Mb
Release : 2022-12-16
Category : Computers
ISBN : 9783031180347

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Predictive Analytics in Cloud, Fog, and Edge Computing by Hiren Kumar Thakkar,Chinmaya Kumar Dehury,Prasan Kumar Sahoo,Bharadwaj Veeravalli Pdf

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G. Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices. The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.

Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

Anshu Singla,Sarvesh Tanwar,Pao-Ann Hsiung
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems Book PDF

Author : Anshu Singla,Sarvesh Tanwar,Pao-Ann Hsiung
Publisher : CRC Press
Page : 297 pages
File Size : 44,9 Mb
Release : 2024-07-31
Category : Computers
ISBN : 9781040088814

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Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems by Anshu Singla,Sarvesh Tanwar,Pao-Ann Hsiung Pdf

This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.