Cloud Computing And Big Data Technologies Applications And Security

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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 : 50,5 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.

Big Data Technologies and Applications

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 47,6 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319445502

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Big Data Technologies and Applications by Borko Furht,Flavio Villanustre Pdf

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Integration of Cloud Computing with Internet of Things

Author : Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 51,5 Mb
Release : 2021-04-13
Category : Computers
ISBN : 9781119768876

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Integration of Cloud Computing with Internet of Things by Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty Pdf

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

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 : 53,5 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.

Disruptive Technologies for Big Data and Cloud Applications

Author : J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Alavi
Publisher : Springer Nature
Page : 880 pages
File Size : 47,5 Mb
Release : 2022-08-01
Category : Technology & Engineering
ISBN : 9789811921773

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Disruptive Technologies for Big Data and Cloud Applications by J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Alavi Pdf

This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.

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 : 47,6 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.

Security and Privacy for Big Data, Cloud Computing and Applications

Author : Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo
Publisher : Computing and Networks
Page : 329 pages
File Size : 44,6 Mb
Release : 2019-09
Category : Computers
ISBN : 9781785617478

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Security and Privacy for Big Data, Cloud Computing and Applications by Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo Pdf

This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.

Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management

Author : Karthikeyan, P.,Thangavel, M.
Publisher : IGI Global
Page : 300 pages
File Size : 54,9 Mb
Release : 2018-06-29
Category : Computers
ISBN : 9781522540458

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Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management by Karthikeyan, P.,Thangavel, M. Pdf

From cloud computing to big data to mobile technologies, there is a vast supply of information being mined and collected. With an abundant amount of information being accessed, stored, and saved, basic controls are needed to protect and prevent security incidents as well as ensure business continuity. Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management is a vital resource that discusses various research findings and innovations in the areas of big data analytics, mobile communication and mobile applications, distributed systems, and information security. With a focus on big data, the internet of things (IoT), mobile technologies, cloud computing, and information security, this book proves a vital resource for computer engineers, IT specialists, software developers, researchers, and graduate-level students seeking current research on SMAC technologies and information security management systems.

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 : 54,8 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.

Convergence of Cloud with AI for Big Data Analytics

Author : Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 41,5 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.

Advances in Big Data and Cloud Computing

Author : J. Dinesh Peter,Amir H. Alavi,Bahman Javadi
Publisher : Springer
Page : 587 pages
File Size : 48,8 Mb
Release : 2018-12-12
Category : Technology & Engineering
ISBN : 9789811318825

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Advances in Big Data and Cloud Computing by J. Dinesh Peter,Amir H. Alavi,Bahman Javadi Pdf

This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This volume primarily focuses on the application of the knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies. The articles featured in this proceeding provide novel ideas that contribute to the growth of world class research and development. The contents of this volume will be of interest to researchers and professionals alike.

Smart Grid Technology

Author : Sudip Misra,Samaresh Bera
Publisher : Cambridge University Press
Page : 277 pages
File Size : 46,9 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9781108475204

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Smart Grid Technology by Sudip Misra,Samaresh Bera Pdf

Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.

Big-Data Analytics and Cloud Computing

Author : Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu
Publisher : Springer
Page : 169 pages
File Size : 52,5 Mb
Release : 2016-01-12
Category : Computers
ISBN : 9783319253138

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Big-Data Analytics and Cloud Computing by Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu Pdf

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

Application of Big Data for National Security

Author : Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl
Publisher : Butterworth-Heinemann
Page : 316 pages
File Size : 40,6 Mb
Release : 2015-02-19
Category : Political Science
ISBN : 9780128019733

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Application of Big Data for National Security by Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl Pdf

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection