Reliability Assurance Of Big Data In The Cloud

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Reliability Assurance of Big Data in the Cloud

Yun Yang,Wenhao Li,Dong Yuan
Reliability Assurance of Big Data in the Cloud Book PDF

Author : Yun Yang,Wenhao Li,Dong Yuan
Publisher : Morgan Kaufmann
Page : 106 pages
File Size : 49,5 Mb
Release : 2014-12-09
Category : Computers
ISBN : 9780128026687

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Reliability Assurance of Big Data in the Cloud by Yun Yang,Wenhao Li,Dong Yuan Pdf

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer. Captures data reliability with variable disk rates and compares virtual to physical disks Offers methods for reducing cloud-based storage cost and energy consumption Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches

Research Anthology on Privatizing and Securing Data

Management Association, Information Resources
Research Anthology on Privatizing and Securing Data Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2188 pages
File Size : 50,5 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9781799889557

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Research Anthology on Privatizing and Securing Data by Management Association, Information Resources Pdf

With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Cloud Computing Solutions

Souvik Pal,Dac-Nhuong Le,Prasant Kumar Pattnaik
Cloud Computing Solutions Book PDF

Author : Souvik Pal,Dac-Nhuong Le,Prasant Kumar Pattnaik
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 41,7 Mb
Release : 2022-06-08
Category : Computers
ISBN : 9781119681656

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Cloud Computing Solutions by Souvik Pal,Dac-Nhuong Le,Prasant Kumar Pattnaik Pdf

CLOUD COMPUTING SOLUTIONS The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures. This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include: The evolution of cloud computing from grid computing, cluster computing, and distributed systems; Covers cloud computing and virtualization environments; Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing; Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues; Explains complex concepts clearly and covers information for advanced users and beginners. Audience The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.

Assured Cloud Computing

Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat
Assured Cloud Computing Book PDF

Author : Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 53,5 Mb
Release : 2018-10-02
Category : Technology & Engineering
ISBN : 9781119428633

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Assured Cloud Computing by Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat Pdf

Explores key challenges and solutions to assured cloud computing today and provides a provocative look at the face of cloud computing tomorrow This book offers readers a comprehensive suite of solutions for resolving many of the key challenges to achieving high levels of assurance in cloud computing. The distillation of critical research findings generated by the Assured Cloud Computing Center of Excellence (ACC-UCoE) of the University of Illinois, Urbana-Champaign, it provides unique insights into the current and future shape of robust, dependable, and secure cloud-based computing and data cyberinfrastructures. A survivable and distributed cloud-computing-based infrastructure can enable the configuration of any dynamic systems-of-systems that contain both trusted and partially trusted resources and services sourced from multiple organizations. To assure mission-critical computations and workflows that rely on such systems-of-systems it is necessary to ensure that a given configuration does not violate any security or reliability requirements. Furthermore, it is necessary to model the trustworthiness of a workflow or computation fulfillment to a high level of assurance. In presenting the substance of the work done by the ACC-UCoE, this book provides a vision for assured cloud computing illustrating how individual research contributions relate to each other and to the big picture of assured cloud computing. In addition, the book: Explores dominant themes in cloud-based systems, including design correctness, support for big data and analytics, monitoring and detection, network considerations, and performance Synthesizes heavily cited earlier work on topics such as DARE, trust mechanisms, and elastic graphs, as well as newer research findings on topics, including R-Storm, and RAMP transactions Addresses assured cloud computing concerns such as game theory, stream processing, storage, algorithms, workflow, scheduling, access control, formal analysis of safety, and streaming Bringing together the freshest thinking and applications in one of today’s most important topics, Assured Cloud Computing is a must-read for researchers and professionals in the fields of computer science and engineering, especially those working within industrial, military, and governmental contexts. It is also a valuable reference for advanced students of computer science.

Software Architecture for Big Data and the Cloud

Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
Software Architecture for Big Data and the Cloud Book PDF

Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
Publisher : Morgan Kaufmann
Page : 470 pages
File Size : 50,9 Mb
Release : 2017-06-12
Category : Computers
ISBN : 9780128093382

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Software Architecture for Big Data and the Cloud by Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim Pdf

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

Site Reliability Engineering

Niall Richard Murphy,Betsy Beyer,Chris Jones,Jennifer Petoff
Site Reliability Engineering Book PDF

Author : Niall Richard Murphy,Betsy Beyer,Chris Jones,Jennifer Petoff
Publisher : "O'Reilly Media, Inc."
Page : 552 pages
File Size : 42,6 Mb
Release : 2016-03-23
Category : Electronic
ISBN : 9781491951170

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Site Reliability Engineering by Niall Richard Murphy,Betsy Beyer,Chris Jones,Jennifer Petoff Pdf

The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use

Big Data

Fei Hu
Big Data Book PDF

Author : Fei Hu
Publisher : CRC Press
Page : 463 pages
File Size : 46,9 Mb
Release : 2016-04-27
Category : Computers
ISBN : 9781498734875

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Big Data by Fei Hu Pdf

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Economics of Grids, Clouds, Systems, and Services

Jörn Altmann,Gheorghe Cosmin Silaghi,Omer F. Rana
Economics of Grids Clouds Systems and Services Book PDF

Author : Jörn Altmann,Gheorghe Cosmin Silaghi,Omer F. Rana
Publisher : Springer
Page : 323 pages
File Size : 51,5 Mb
Release : 2016-07-19
Category : Computers
ISBN : 9783319431772

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Economics of Grids, Clouds, Systems, and Services by Jörn Altmann,Gheorghe Cosmin Silaghi,Omer F. Rana Pdf

This book constitutes the refereed proceedings of the 12th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2015, held in Cluj-Napoca, Romania, in September 2015. The 11 revised full papers and 10 paper-in-progress presented were carefully reviewed and selected from 38 submissions. The presentation sessions that have been set up are: resource allocation, service selection in clouds, energy conservation and smart grids, applications: tools and protocols, community networks and legal and socio-economic aspects.

System Assurances

Prashant Johri,Adarsh Anand,Juri Vain,Jagvinder Singh,Mohammad Tabrez Quasim
System Assurances Book PDF

Author : Prashant Johri,Adarsh Anand,Juri Vain,Jagvinder Singh,Mohammad Tabrez Quasim
Publisher : Academic Press
Page : 616 pages
File Size : 50,8 Mb
Release : 2022-02-16
Category : Computers
ISBN : 9780323902410

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System Assurances by Prashant Johri,Adarsh Anand,Juri Vain,Jagvinder Singh,Mohammad Tabrez Quasim Pdf

System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today’s debugging team’s point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. Students, research scholars, academicians, scientists and industry practitioners will benefit from the book as it provides better insights into modern related global trends, issues and practices. Provides software reliability modeling, simulation and optimization Offers methodologies, tools and practical applications of reliability modeling and resources allocation Presents cost modeling and optimization associated with complex systems

Big Data Analytics with Hadoop 3

Sridhar Alla
Big Data Analytics with Hadoop 3 Book PDF

Author : Sridhar Alla
Publisher : Packt Publishing Ltd
Page : 471 pages
File Size : 51,5 Mb
Release : 2018-05-31
Category : Computers
ISBN : 9781788624954

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Big Data Analytics with Hadoop 3 by Sridhar Alla Pdf

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink Exploit big data using Hadoop 3 with real-world examples Book Description Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly. What you will learn Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples Integrate Hadoop with R and Python for more efficient big data processing Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics Set up a Hadoop cluster on AWS cloud Perform big data analytics on AWS using Elastic Map Reduce Who this book is for Big Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3’s powerful features, or you’re new to big data analytics. A basic understanding of the Java programming language is required.

Emerging Technologies in Computing

Mahdi H. Miraz,Garfield Southall,Maaruf Ali,Andrew Ware
Emerging Technologies in Computing Book PDF

Author : Mahdi H. Miraz,Garfield Southall,Maaruf Ali,Andrew Ware
Publisher : Springer Nature
Page : 152 pages
File Size : 48,9 Mb
Release : 2023-01-25
Category : Computers
ISBN : 9783031251610

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Emerging Technologies in Computing by Mahdi H. Miraz,Garfield Southall,Maaruf Ali,Andrew Ware Pdf

This book constitutes the refereed conference proceedings of the 5th EAI International Conference on Emerging Technologies in Computing, iCETiC 2022, held in Chester, UK, August 15-16, 2022. The 16 full papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Cloud, IoT and Distributed Computing; and AI, Expert Systems and Big Data Analytics.

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu-Yen Chen
2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing Book PDF

Author : Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu-Yen Chen
Publisher : Springer Nature
Page : 504 pages
File Size : 50,9 Mb
Release : 2020-09-30
Category : Technology & Engineering
ISBN : 9783030475604

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2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing by Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu-Yen Chen Pdf

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019. Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019; Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms; Includes contributions from researchers, academics, and professionals from around the world.

Big Data

Zongben Xu,Xinbo Gao,Qiguang Miao,Yunquan Zhang,Jiajun Bu
Big Data Book PDF

Author : Zongben Xu,Xinbo Gao,Qiguang Miao,Yunquan Zhang,Jiajun Bu
Publisher : Springer
Page : 598 pages
File Size : 53,8 Mb
Release : 2018-10-10
Category : Computers
ISBN : 9789811329227

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Big Data by Zongben Xu,Xinbo Gao,Qiguang Miao,Yunquan Zhang,Jiajun Bu Pdf

This volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and selected from 880 submissions. The papers are organized in topical sections on natural language processing and text mining; big data analytics and smart computing; big data applications; the application of big data in machine learning; social networks and recommendation systems; parallel computing and storage of big data; data quality control and data governance; big data system and management.

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 : 41,7 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,

Smart Data

Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang
Smart Data Book PDF

Author : Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang
Publisher : CRC Press
Page : 410 pages
File Size : 52,8 Mb
Release : 2019-03-19
Category : Business & Economics
ISBN : 9780429018039

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Smart Data by Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang Pdf

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers