Cloud Computing Big Data Emerging Topics

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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Author : Taser, Pelin Yildirim
Publisher : IGI Global
Page : 334 pages
File Size : 44,9 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Applications of Big Data in Large- and Small-Scale Systems

Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Page : 377 pages
File Size : 50,6 Mb
Release : 2021-01-15
Category : Computers
ISBN : 9781799866756

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Applications of Big Data in Large- and Small-Scale Systems by Goundar, Sam,Rayani, Praveen Kumar Pdf

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Handbook of Research on Cloud Computing and Big Data Applications in IoT

Author : Gupta, B. B.,Agrawal, Dharma P.
Publisher : IGI Global
Page : 609 pages
File Size : 48,9 Mb
Release : 2019-04-12
Category : Computers
ISBN : 9781522584087

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Handbook of Research on Cloud Computing and Big Data Applications in IoT by Gupta, B. B.,Agrawal, Dharma P. Pdf

Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.

Cloud Computing, Big Data & Emerging Topics

Author : Marcelo Naiouf,Enzo Rucci,Franco Chichizola,Laura De Giusti
Publisher : Springer Nature
Page : 210 pages
File Size : 55,5 Mb
Release : 2023-09-11
Category : Computers
ISBN : 9783031409424

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Cloud Computing, Big Data & Emerging Topics by Marcelo Naiouf,Enzo Rucci,Franco Chichizola,Laura De Giusti Pdf

This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina*, in June 2023. The 14 full papers were carefully reviewed and selected from a total of 38 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing, Big Data, Machine and Deep Learning, Smart Cities and E-Government, Visualization.

Applications of Machine Learning in Big-Data Analytics and Cloud Computing

Author : Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt
Publisher : CRC Press
Page : 346 pages
File Size : 48,5 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9781000793550

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing by Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt Pdf

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.

Cloud Computing and Big Data: Technologies, Applications and Security

Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Publisher : Springer
Page : 394 pages
File Size : 44,7 Mb
Release : 2018-07-27
Category : Technology & Engineering
ISBN : 9783319977195

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Cloud Computing and Big Data: Technologies, Applications and Security by Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong Pdf

This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.

Managing Big Data in Cloud Computing Environments

Author : Zongmin Ma
Publisher : Information Science Reference
Page : 0 pages
File Size : 40,9 Mb
Release : 2016
Category : Computers
ISBN : 1466698365

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Managing Big Data in Cloud Computing Environments by Zongmin Ma Pdf

Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

Cloud Computing, Big Data & Emerging Topics

Author : Marcelo Naiouf,Enzo Rucci,Franco Chichizola,Laura De Giusti
Publisher : Springer Nature
Page : 208 pages
File Size : 54,8 Mb
Release : 2021-08-15
Category : Computers
ISBN : 9783030848255

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Cloud Computing, Big Data & Emerging Topics by Marcelo Naiouf,Enzo Rucci,Franco Chichizola,Laura De Giusti Pdf

This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
Page : 350 pages
File Size : 43,8 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Cloud Computing, Big Data & Emerging Topics

Author : Enzo Rucci,Marcelo Naiouf,Franco Chichizola,Laura De Giusti,Armando De Giusti
Publisher : Springer Nature
Page : 146 pages
File Size : 47,5 Mb
Release : 2022-08-04
Category : Computers
ISBN : 9783031145995

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Cloud Computing, Big Data & Emerging Topics by Enzo Rucci,Marcelo Naiouf,Franco Chichizola,Laura De Giusti,Armando De Giusti Pdf

This book constitutes the revised selected papers of the 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, held in La Plata, Argentina*, in June-July 2022. The 9 full papers were carefully reviewed and selected from a total of 23 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing; Machine and Deep Learning; Cloud and High-Performance Computing, Machine and Deep Learning, and Virtual Reality.

Cloud Computing, Big Data & Emerging Topics

Author : Enzo Rucci,Marcelo Naiouf,Franco Chichizola,Laura De Giusti
Publisher : Springer Nature
Page : 167 pages
File Size : 41,6 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9783030612184

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Cloud Computing, Big Data & Emerging Topics by Enzo Rucci,Marcelo Naiouf,Franco Chichizola,Laura De Giusti Pdf

This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2020, held in La Plata, Argentina*, in September 2020. The 11 full papers presented were carefully reviewed and selected from a total of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning. *The conference was held virtually due to the COVID-19 pandemic.

Security and Privacy Trends in Cloud Computing and Big Data

Author : Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba
Publisher : CRC Press
Page : 233 pages
File Size : 44,8 Mb
Release : 2022-06-07
Category : Computers
ISBN : 9781000583632

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Security and Privacy Trends in Cloud Computing and Big Data by Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba Pdf

It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.

Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models

Author : Darwish, Dina
Publisher : IGI Global
Page : 494 pages
File Size : 41,7 Mb
Release : 2024-01-25
Category : Computers
ISBN : 9798369309018

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Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models by Darwish, Dina Pdf

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.

Cloud Computing for Geospatial Big Data Analytics

Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Page : 289 pages
File Size : 47,7 Mb
Release : 2018-12-11
Category : Technology & Engineering
ISBN : 9783030033590

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Cloud Computing for Geospatial Big Data Analytics by Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy Pdf

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author : Raj, Pethuru
Publisher : IGI Global
Page : 570 pages
File Size : 44,5 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781466658653

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Handbook of Research on Cloud Infrastructures for Big Data Analytics by Raj, Pethuru Pdf

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.