Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-25
Emerging Trends In Cloud Computing Analytics Scalability And Service Models written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Big Data Analytics In The Cloud
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Author : Rafeal Mechlore
language : en
Publisher:
Release Date : 2023-09-27
Big Data Analytics In The Cloud written by Rafeal Mechlore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-27 with categories.
"Big Data Analytics in the Cloud" is an illuminating exploration of the synergy between two transformative technologies-Big Data and Cloud Computing. In this comprehensive guide, readers embark on a journey through the data-driven landscape where massive datasets meet the scalability, flexibility, and power of cloud infrastructure. This book begins by unraveling the core concepts of Big Data, shedding light on its three defining characteristics: volume, velocity, and variety. Readers gain a deep understanding of the challenges organizations face when dealing with vast amounts of data and how traditional solutions often fall short in managing, processing, and deriving insights from it. Enter Cloud Computing, the dynamic and scalable solution to these challenges. The heart of "Big Data Analytics in the Cloud" lies in its exploration of how cloud technology reshapes the Big Data landscape. It delves into the intricacies of cloud-based data storage, processing, and analytics services, showcasing how they empower businesses to harness the full potential of their data. Real-world case studies and examples demonstrate how organizations leverage cloud-based Big Data analytics to gain a competitive edge, make data-driven decisions, and uncover valuable insights. The book provides a roadmap for designing and implementing Big Data analytics solutions in the cloud, covering key topics such as data ingestion, storage, transformation, analysis, and visualization. It discusses the advantages of cloud-native tools and platforms, including their cost-efficiency, scalability, and ease of use. Security and compliance are paramount in the world of data, and this guide devotes attention to how cloud providers address these concerns. It outlines best practices for securing data in the cloud, ensuring data privacy, and adhering to regulatory requirements. As technology evolves, so does this book. "Big Data Analytics in the Cloud" explores emerging trends and technologies in the field, such as serverless computing, AI and machine learning integration, and the intersection of Big Data with the Internet of Things (IoT). Whether you're a data scientist, a business executive seeking data-driven insights, or an IT professional responsible for implementing Big Data solutions, this book equips you with the knowledge and strategies needed to leverage the power of Big Data analytics in the cloud. It is your indispensable resource for navigating the intersection of two groundbreaking technologies and unlocking new possibilities in the data-driven era
Predictive Analytics In Cloud Fog And Edge Computing
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Author : Hiren Kumar Thakkar
language : en
Publisher: Springer Nature
Release Date : 2022-12-16
Predictive Analytics In Cloud Fog And Edge Computing written by Hiren Kumar Thakkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Computers categories.
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.
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics
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Author : Pelin Yildirim Taser
language : en
Publisher:
Release Date : 2021
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics written by Pelin Yildirim Taser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.
"This book contains research on emerging trends in the internet of things and integration with data science"--
Big Data Analytics And Cloud Computing
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Author : Syed Thouheed Ahmed
language : en
Publisher: MileStone Research Publications
Release Date : 2021-09-05
Big Data Analytics And Cloud Computing written by Syed Thouheed Ahmed and has been published by MileStone Research Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-05 with Computers categories.
Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment
Integration Of Cloud Computing With Emerging Technologies
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Author : Sapna Sinha
language : en
Publisher: CRC Press
Release Date : 2023-10-30
Integration Of Cloud Computing With Emerging Technologies written by Sapna Sinha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Computers categories.
This book gives a complete overview of cloud computing: its importance, its trends, innovations, and its amalgamation with other technologies. Key Features: 1 In-depth explanation of emerging technologies utilizing cloud computing 2 Supplemented with visuals, flow charts, and diagrams 3 Real-time examples included 4 Caters to beginners, as well as advanced researchers, by explaining implications, innovations, issues, and challenges of cloud computing 5 Highlights the need for cloud computing and the true benefits derived by its application and integration in emerging technologies 6 Simple, easy language
Secure And Intelligent Iot Enabled Smart Cities
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Author : Singh, Sushil Kumar
language : en
Publisher: IGI Global
Release Date : 2024-04-01
Secure And Intelligent Iot Enabled Smart Cities written by Singh, Sushil Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Political Science categories.
Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.
Developments Towards Next Generation Intelligent Systems For Sustainable Development
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Author : Sharma, Shanu
language : en
Publisher: IGI Global
Release Date : 2024-04-04
Developments Towards Next Generation Intelligent Systems For Sustainable Development written by Sharma, Shanu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Business & Economics categories.
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.
Digital Capitalism In The New Media Era
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Author : Topçu, Çiçek
language : en
Publisher: IGI Global
Release Date : 2024-01-25
Digital Capitalism In The New Media Era written by Topçu, Çiçek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Social Science categories.
How do digital capitalism and the evolving landscape of new media intersect, and what does this mean for the future of media? It is necessary to begin the excavation process, to unearth the insights of experts in these fields to better understand the transformation of the globalized world. In Digital Capitalism in the New Media Era, the intricate relationship between media and society takes center stage, examined through the lens of contemporary technology's impact on this dynamic. Within the confines of this meticulously researched book lies a comprehensive analysis of how the established political economy of traditional media has adapted and responded to the surge of new technologies. The rise of new tools has inadvertently ushered in a new age of surveillance, marked by sophisticated techniques like digital trace tracking and micro-targeting strategies. This book covers comprehensive topics, including exploiting personal data for both commercial and political ends, the pervasive influence of algorithmic mechanisms and filter bubbles, and the dominion of tech giants in this digital landscape. By offering a panoramic view of the contemporary media landscape, this book not only equips researchers, sociologists, and media professionals with an understanding of the intricate interplay between technology and society but also facilitates a deeper comprehension of pressing concerns such as open science, gender equality, and the digital divide.
Critical Approaches To Data Engineering Systems And Analysis
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Author : Bora, Abhijit
language : en
Publisher: IGI Global
Release Date : 2024-04-05
Critical Approaches To Data Engineering Systems And Analysis written by Bora, Abhijit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Computers categories.
The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach. Data engineering involves the intricate orchestration of systems and architectural frameworks for collecting, storing, processing, and analyzing vast datasets. The challenge lies in ensuring this data is managed and harnessed effectively, fostering insightful knowledge and steering organizations toward data-driven decision-making. Critical Approaches to Data Engineering Systems and Analysis unveils the latent potential inherent in diverse data analysis and engineering techniques. It combines compelling perspectives, guidelines, and frameworks, applying statistical and mathematical models. As industries and research communities witness increasing demand for web-based systems, software modules, heuristic models, and survey analysis, the book emphasizes the critical methodologies associated with data verification, reliability, fault tolerance, and viability.