Cloud Networking For Big Data

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Cloud Networking for Big Data

Deze Zeng,Lin Gu,Song Guo
Cloud Networking for Big Data Book PDF

Author : Deze Zeng,Lin Gu,Song Guo
Publisher : Springer
Page : 102 pages
File Size : 45,5 Mb
Release : 2015-12-09
Category : Computers
ISBN : 9783319247205

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Cloud Networking for Big Data by Deze Zeng,Lin Gu,Song Guo Pdf

This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies. The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing. Cloud Networking for Big Data targets professionals and researchers working in big data, networks, wireless communications and information technology. Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide.

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 : 53,7 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.

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 : 40,8 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 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 : 43,6 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.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy
Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks Book PDF

Author : Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy
Publisher : IGI Global
Page : 312 pages
File Size : 55,8 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781799827665

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Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks by Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy Pdf

Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

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 : 54,6 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.

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 : 49,7 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.

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 : 592 pages
File Size : 55,9 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.

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 : 52,6 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.

Networking for Big Data

Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
Networking for Big Data Book PDF

Author : Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
Publisher : CRC Press
Page : 416 pages
File Size : 54,7 Mb
Release : 2015-07-28
Category : Computers
ISBN : 9781482263503

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Networking for Big Data by Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen Pdf

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,

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 : 42,8 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

INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS

Shoban Babu Sriramoju
INTRODUCTION TO BIG DATA INFRASTRUCTURE AND NETWORKING CONSIDERATIONS Book PDF

Author : Shoban Babu Sriramoju
Publisher : Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
Page : 197 pages
File Size : 45,8 Mb
Release : 2017-12-01
Category : Electronic
ISBN : 9789386369574

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INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS by Shoban Babu Sriramoju Pdf

Big data is certainly one of the biggest buzz phrases in IT today. Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Unlike previous business analytics solutions, the real-time capability of new big data solutions can provide mission critical business intelligence that can change the shape and speed of enterprise decision making forever. Hence, the way in which IT infrastructure is connected and distributed warrants a fresh and critical analysis.

Big Data and Computational Intelligence in Networking

Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya
Big Data and Computational Intelligence in Networking Book PDF

Author : Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya
Publisher : CRC Press
Page : 539 pages
File Size : 49,5 Mb
Release : 2017-12-14
Category : Computers
ISBN : 9781351651721

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Big Data and Computational Intelligence in Networking by Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya Pdf

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

Big Data For Dummies

Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Big Data For Dummies Book PDF

Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 53,5 Mb
Release : 2013-04-02
Category : Computers
ISBN : 9781118644171

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Big Data For Dummies by Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman Pdf

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Big Data in Complex Systems

Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Big Data in Complex Systems Book PDF

Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Publisher : Springer
Page : 502 pages
File Size : 49,8 Mb
Release : 2015-01-02
Category : Technology & Engineering
ISBN : 9783319110561

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Big Data in Complex Systems by Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy Pdf

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.