December 4, 2020

Download Ebook Free Reliability Assurance Of Big Data In The Cloud

Reliability Assurance of Big Data in the Cloud

Reliability Assurance of Big Data in the Cloud
Author : Yun Yang,Wenhao Li,Dong Yuan
Publisher : Morgan Kaufmann
Release Date : 2014-12-09
Category : Computers
Total pages :106
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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

Reliability Assurance of Big Data in the Cloud

Reliability Assurance of Big Data in the Cloud
Author : Yun Yang,Wenhao Li,Dong Yuan
Publisher : Morgan Kaufmann
Release Date : 2014-12-10
Category : Computers
Total pages :106
GET BOOK

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

Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
Publisher : Morgan Kaufmann
Release Date : 2017-06-12
Category : Computers
Total pages :470
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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

Strategic Engineering for Cloud Computing and Big Data Analytics

Strategic Engineering for Cloud Computing and Big Data Analytics
Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
Publisher : Springer
Release Date : 2017-03-15
Category : Technology & Engineering
Total pages :226
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This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Dependability in Sensor, Cloud, and Big Data Systems and Applications

Dependability in Sensor, Cloud, and Big Data Systems and Applications
Author : Guojun Wang,Md Zakirul Alam Bhuiyan,Sabrina De Capitani di Vimercati,Yizhi Ren
Publisher : Springer Nature
Release Date : 2019-12-31
Category : Computers
Total pages :488
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This book constitutes the refereed proceedings of the 5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, DependSys, held in Guangzhou, China, in November 2019. The volume presents 39 full papers, which were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on ​dependability and security fundamentals and technologies; dependable and secure systems; dependable and secure applications; dependability and security measures and assessments; explainable artificial inteligence for cyberspace.

Guide to Reliable Distributed Systems

Guide to Reliable Distributed Systems
Author : Kenneth P Birman
Publisher : Springer Science & Business Media
Release Date : 2012-01-14
Category : Computers
Total pages :730
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This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty.

Assured Cloud Computing

Assured Cloud Computing
Author : Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat
Publisher : John Wiley & Sons
Release Date : 2018-10-02
Category : Technology & Engineering
Total pages :368
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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.

Core Concepts of Accounting Information Systems

Core Concepts of Accounting Information Systems
Author : Mark G. Simkin,James L. Worrell,Arline A. Savage
Publisher : Wiley Global Education
Release Date : 2018-05-14
Category : Business & Economics
Total pages :536
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Accounting Information systems (AIS) have become indispensable in the field, and this book provides clear guidance for students or professionals needing to get up to speed. Designed to suit a one-semester AIS course at the graduate, undergraduate, or community college level, Core Concepts of Accounting Information Systems explores AIS use and processes in the context of modern-day accounting. Coverage includes conceptual overviews of data analytics, accounting, and risk management, as well as detailed discussion of business processes, cybercrime, database design and more to provide a well-rounded introduction to AIS. Case studies reinforce fundamental concepts using real-world scenarios that encourage critical thinking, while AIS-at-Work examples illustrate complex procedures or concepts in everyday workplace situations. Test Yourself questions allow students to gauge their level of understanding, while End of Chapter questions stimulate application of new skills through problems, cases, and discussion questions that facilitate classroom dialogue. Practical, current, relevant, and grounded in everyday application, this book is an invaluable resource for students of managerial accounting, tax accounting, and compliance.

Cloud Computing Design Patterns (paperback)

Cloud Computing Design Patterns (paperback)
Author : Thomas Erl,Robert Cope,Amin Naserpour
Publisher : Prentice Hall
Release Date : 2017-03-09
Category :
Total pages :592
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"This book continues the very high standard we have come to expect from ServiceTech Press. The book provides well-explained vendor-agnostic patterns to the challenges of providing or using cloud solutions from PaaS to SaaS. The book is not only a great patterns reference, but also worth reading from cover to cover as the patterns are thought-provoking, drawing out points that you should consider and ask of a potential vendor if you're adopting a cloud solution." --Phil Wilkins, Enterprise Integration Architect, Specsavers "Thomas Erl's text provides a unique and comprehensive perspective on cloud design patterns that is clearly and concisely explained for the technical professional and layman alike. It is an informative, knowledgeable, and powerful insight that may guide cloud experts in achieving extraordinary results based on extraordinary expertise identified in this text. I will use this text as a resource in future cloud designs and architectural considerations." --Dr. Nancy M. Landreville, CEO/CISO, NML Computer Consulting The Definitive Guide to Cloud Architecture and Design Best-selling service technology author Thomas Erl has brought together the de facto catalog of design patterns for modern cloud-based architecture and solution design. More than two years in development, this book's 100+ patterns illustrate proven solutions to common cloud challenges and requirements. Its patterns are supported by rich, visual documentation, including 300+ diagrams. The authors address topics covering scalability, elasticity, reliability, resiliency, recovery, data management, storage, virtualization, monitoring, provisioning, administration, and much more. Readers will further find detailed coverage of cloud security, from networking and storage safeguards to identity systems, trust assurance, and auditing. This book's unprecedented technical depth makes it a must-have resource for every cloud technology architect, solution designer, developer, administrator, and manager. Topic Areas Enabling ubiquitous, on-demand, scalable network access to shared pools of configurable IT resources Optimizing multitenant environments to efficiently serve multiple unpredictable consumers Using elasticity best practices to scale IT resources transparently and automatically Ensuring runtime reliability, operational resiliency, and automated recovery from any failure Establishing resilient cloud architectures that act as pillars for enterprise cloud solutions Rapidly provisioning cloud storage devices, resources, and data with minimal management effort Enabling customers to configure and operate custom virtual networks in SaaS, PaaS, or IaaS environments Efficiently provisioning resources, monitoring runtimes, and handling day-to-day administration Implementing best-practice security controls for cloud service architectures and cloud storage Securing on-premise Internet access, external cloud connections, and scaled VMs Protecting cloud services against denial-of-service attacks and traffic hijacking Establishing cloud authentication gateways, federated cloud authentication, and cloud key management Providing trust attestation services to customers Monitoring and independently auditing cloud security Solving complex cloud design problems with compound super-patterns

Big Data

Big Data
Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher : Springer
Release Date : 2014-05-05
Category : Computers
Total pages :89
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This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Intelligent Computing & Optimization

Intelligent Computing & Optimization
Author : Pandian Vasant,Ivan Zelinka,Gerhard-Wilhelm Weber
Publisher : Unknown
Release Date : 2019
Category : COMPUTERS
Total pages :575
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This book includes innovative research work presented at ICO’2018, the 1st International Conference on Intelligent Computing and Optimization, held in Pattaya, Thailand on October 4–5, 2018. The conference presented topics ranging from power quality, reliability, security assurance, cloud computing, smart cities, renewable energy, agro-engineering, smart vehicles, deep learning, block chain, power systems, AI, machine learning, manufacturing systems, and big-data analytics. This volume focuses on subjects related to innovative computing, uncertainty management and optimization approaches to real-world problems in big-data, smart cities, sustainability, meta-heuristics, cyber-security, IoTs, economics and finance, renewable energy, energy and electricity systems, and block chain. Presenting cutting-edge methodologies with real-world application problems and their solutions, the book is useful for researchers, managers, executives, students, academicians, practicing scientists, and decision makers from all around the globe. It offers the academic and the applied communities a compendium and a research resource with significant insights and inspiration for innovative scientific education, investigation and collaboration, to overcome “hard problems” among the emerging challenges today and in the future.

Cloud Computing Applications for Quality Health Care Delivery

Cloud Computing Applications for Quality Health Care Delivery
Author : Moumtzoglou, Anastasius
Publisher : IGI Global
Release Date : 2014-06-30
Category : Medical
Total pages :342
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Software applications once held on local computers and servers are beginning to shift to the public Internet sphere, and private health information is no exception. The likelihood of placing once restricted and private health records “in the cloud” is increasing. Cloud Computing Applications for Quality Health Care Delivery focuses on cloud technologies that could affect quality in the healthcare field. Leading experts in this area offer their knowledge and contribute to the demystification of healthcare in the Cloud. This publication will prove to be a useful tool for undergraduate and graduate students of healthcare quality and management, healthcare managers, and industry professionals.

Essentials of Nursing Informatics, 6th Edition

Essentials of Nursing Informatics, 6th Edition
Author : Virginia K. Saba,Kathleen A. McCormick
Publisher : McGraw Hill Professional
Release Date : 2015-02-22
Category : Medical
Total pages :886
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Discover how technology can improve patient care -- and enhance every aspect of a nurse’s job performance, education, and career A Doody's Core Title for 2017! Written by leaders in nursing informatics, this comprehensive up-to-date text helps you understand how informatics can enhance every aspect of the nursing profession. This edition of Essentials of Nursing Informatics is highlighted by an outstanding team of international contributors and content that reflects the very latest concepts, technologies, policies, and required skills. Numerous case studies take the book beyond theory and add real-world relevance to the material. Essentials of Nursing Informatics is logically divided into ten sections edited by leading nurse informaticists: Nursing Informatics Technologies (Jacqueline Ann Moss) System Life Cycle (Virginia K. Saba) Informatics Theory Standards/Foundations of Nursing Informatics (Virginia K. Saba) Nursing Informatics Leadership (Kathleen Smith) Advanced Nursing Informatics in Practice (Gail E. Latimer) Nursing Informatics/Complex Applications (Kathleen A. McCormick) Educational Applications (Diane J. Skiba) Research Applications (Virginia K. Saba) Big Data Initiatives (Kathleen A. McCormick) International Perspectives (Susan K. Newbold) Essentials of Nursing Informatics is the best single resource for learning how technology can make the nursing experience as rewarding and successful as possible. New Feature! The 6th Edition introduces an online faculty resource to supplement classroom teaching, offering instructors PowerPoints with concise chapter outlines, learning objectives, key words, and explanatory illustrations and tables. To request Instructor PowerPoint slides: Visit www.EssentialsofNursingInformatics.com and under the "Downloads and Resources tab," click "Request PowerPoint" to access the PowerPoint request form. Also, for the first time, a companion study guide for the 6th Edition is available separately from McGraw-Hill (Essentials of Nursing Informatics Study Guide/ISBN: 978-007-184-5892; edited by Julianne Brixey, Jack Brixey, Virginia K. Saba, and Kathleen A. McCormick), presenting teaching modules for all major chapters, with content outlines, teaching tips, class preparation ideas, review questions, answer explanations, and online PowerPoint slides to aid understanding and retention of all major concepts covered in Essentials of Nursing Informatics, 6th Edition.

Big Data Analytics Strategies for the Smart Grid

Big Data Analytics Strategies for the Smart Grid
Author : Carol L. Stimmel
Publisher : CRC Press
Release Date : 2016-04-19
Category : Computers
Total pages :256
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By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.Readable and accessible, Big Data Analytic

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Release Date : 2016-04-04
Category : Computers
Total pages :303
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In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.