Cloud Computing And Big Data

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Cloud Computing for Geospatial Big Data Analytics

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

Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Page : 289 pages
File Size : 46,7 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 Computing and Big Data Applications in IoT

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

Author : Gupta, B. B.,Agrawal, Dharma P.
Publisher : IGI Global
Page : 609 pages
File Size : 51,6 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.

Cloud Computing and Big Data: Technologies, Applications and Security

Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Cloud Computing and Big Data Technologies Applications and Security Book PDF

Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Publisher : Springer
Page : 394 pages
File Size : 41,6 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 Analytics and Cloud Computing

Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu
Big Data Analytics and Cloud Computing Book PDF

Author : Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu
Publisher : Springer
Page : 169 pages
File Size : 50,7 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.

Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

Sanjoy Das,Ram Shringar Rao,Indrani Das,Vishal Jain,Nanhay Singh
Cloud Computing Enabled Big Data Analytics in Wireless Ad hoc Networks Book PDF

Author : Sanjoy Das,Ram Shringar Rao,Indrani Das,Vishal Jain,Nanhay Singh
Publisher : CRC Press
Page : 300 pages
File Size : 51,9 Mb
Release : 2022-03-21
Category : Technology & Engineering
ISBN : 9781000539493

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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks by Sanjoy Das,Ram Shringar Rao,Indrani Das,Vishal Jain,Nanhay Singh Pdf

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

Security and Privacy Trends in Cloud Computing and Big Data

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

Author : Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba
Publisher : CRC Press
Page : 233 pages
File Size : 44,6 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.

Big Data Analytics and Cloud Computing

Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil
Big Data Analytics and Cloud Computing Book PDF

Author : Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil
Publisher : MileStone Research Publications
Page : 101 pages
File Size : 43,7 Mb
Release : 2021-09-05
Category : Computers
ISBN : 9789354738289

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Big Data Analytics and Cloud Computing by Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil Pdf

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

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 53,5 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9781119247296

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Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

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

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

Author : Subhendu Kumar Pani,Somanath Tripathy,George Jandieri,Sumit Kundu,Talal Ashraf Butt
Publisher : CRC Press
Page : 346 pages
File Size : 46,5 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.

Big Data, Cloud Computing, Data Science & Engineering

Roger Lee
Big Data Cloud Computing Data Science Engineering Book PDF

Author : Roger Lee
Publisher : Springer
Page : 189 pages
File Size : 52,9 Mb
Release : 2018-08-13
Category : Technology & Engineering
ISBN : 9783319968032

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Big Data, Cloud Computing, Data Science & Engineering by Roger Lee Pdf

This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.

Security and Privacy for Big Data, Cloud Computing and Applications

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

Author : Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo
Publisher : Computing and Networks
Page : 329 pages
File Size : 49,9 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 Big Data in Large- and Small-Scale Systems

Goundar, Sam,Rayani, Praveen Kumar
Applications of Big Data in Large and Small Scale Systems Book PDF

Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Page : 377 pages
File Size : 54,5 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 Infrastructures for Big Data Analytics

Raj, Pethuru
Handbook of Research on Cloud Infrastructures for Big Data Analytics Book PDF

Author : Raj, Pethuru
Publisher : IGI Global
Page : 570 pages
File Size : 55,7 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.

To the Cloud

Vincent Mosco
To the Cloud Book PDF

Author : Vincent Mosco
Publisher : Routledge
Page : 284 pages
File Size : 42,5 Mb
Release : 2015-11-17
Category : Political Science
ISBN : 9781317250388

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To the Cloud by Vincent Mosco Pdf

Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about National Security Agency (NSA) activities, many of which occur "in the cloud", this book offers both enlightenment and a critical view. Vincent Mosco explores where the cloud originated, what it means, and how important it is for business, government and citizens. He describes the intense competition among cloud companies like Amazon and Google, the spread of the cloud to government agencies like the controversial NSA, and the astounding growth of entire cloud cities in China. Is the cloud the long-promised information utility that will solve many of the world's economic and social problems? Or is it just marketing hype? To the Cloud provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world.

Big Data Processing Using Spark in Cloud

Mamta Mittal,Valentina E. Balas,Lalit Mohan Goyal,Raghvendra Kumar
Big Data Processing Using Spark in Cloud Book PDF

Author : Mamta Mittal,Valentina E. Balas,Lalit Mohan Goyal,Raghvendra Kumar
Publisher : Springer
Page : 275 pages
File Size : 42,9 Mb
Release : 2018-06-16
Category : Computers
ISBN : 9789811305504

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Big Data Processing Using Spark in Cloud by Mamta Mittal,Valentina E. Balas,Lalit Mohan Goyal,Raghvendra Kumar Pdf

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.