Reliability Assurance of Big Data in the Cloud

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  • Author : Yun Yang
  • Publisher : Morgan Kaufmann
  • Pages : 106 pages
  • ISBN : 0128026685
  • Rating : /5 from reviews
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Download or Read online Reliability Assurance of Big Data in the Cloud full in PDF, ePub and kindle. this book written by Yun Yang and published by Morgan Kaufmann which was released on 09 December 2014 with total page 106 pages. We cannot guarantee that Reliability Assurance of Big Data in the Cloud book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 : 09 December 2014
GET THIS BOOK Reliability Assurance of Big Data in the Cloud

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

Research Anthology on Privatizing and Securing Data

Research Anthology on Privatizing and Securing Data
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 23 April 2021
GET THIS BOOK Research Anthology on Privatizing and Securing Data

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

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 : 13 February 2017
GET THIS BOOK Strategic Engineering for Cloud Computing and Big Data Analytics

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

Blockchain for Big Data

Blockchain for Big Data
  • Author : Shaoliang Peng
  • Publisher : CRC Press
  • Release : 05 September 2021
GET THIS BOOK Blockchain for Big Data

In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analysing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology

Economics of Grids Clouds Systems and Services

Economics of Grids  Clouds  Systems  and Services
  • Author : Jörn Altmann,Gheorghe Cosmin Silaghi,Omer F. Rana
  • Publisher : Springer
  • Release : 19 July 2016
GET THIS BOOK Economics of Grids Clouds Systems and Services

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.

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

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  • Author : Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu-Yen Chen
  • Publisher : Springer Nature
  • Release : 30 September 2020
GET THIS BOOK 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

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

Smart Data

Smart Data
  • Author : Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang
  • Publisher : CRC Press
  • Release : 19 March 2019
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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

Data Privacy and Trust in Cloud Computing

Data Privacy and Trust in Cloud Computing
  • Author : Theo Lynn,John G. Mooney,Lisa van der Werff,Grace Fox
  • Publisher : Springer Nature
  • Release : 14 November 2020
GET THIS BOOK Data Privacy and Trust in Cloud Computing

This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous technological,

Software Engineering in the Era of Cloud Computing

Software Engineering in the Era of Cloud Computing
  • Author : Muthu Ramachandran,Zaigham Mahmood
  • Publisher : Springer Nature
  • Release : 01 January 2020
GET THIS BOOK Software Engineering in the Era of Cloud Computing

This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud

Large Scale and Big Data

Large Scale and Big Data
  • Author : Sherif Sakr,Mohamed Gaber
  • Publisher : CRC Press
  • Release : 25 June 2014
GET THIS BOOK Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing t

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques
  • Author : Segall, Richard S.,Cook, Jeffrey S.
  • Publisher : IGI Global
  • Release : 05 January 2018
GET THIS BOOK Handbook of Research on Big Data Storage and Visualization Techniques

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that

Modeling and Simulation in HPC and Cloud Systems

Modeling and Simulation in HPC and Cloud Systems
  • Author : Joanna Kołodziej,Florin Pop,Ciprian Dobre
  • Publisher : Springer
  • Release : 30 January 2018
GET THIS BOOK Modeling and Simulation in HPC and Cloud Systems

This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big Data Applications Cost Action on “New Trends in Modelling and Simulation in HPC Systems,” which was held in Bucharest (Romania) on September 21–23, 2016. As such it offers a solid foundation for the development of new-generation data-intensive intelligent systems. Modelling and simulation (MS) in the big data era is widely considered

Assured Cloud Computing

Assured Cloud Computing
  • Author : Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat
  • Publisher : John Wiley & Sons
  • Release : 02 October 2018
GET THIS BOOK Assured Cloud Computing

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

Big Data in Radiation Oncology

Big Data in Radiation Oncology
  • Author : Jun Deng,Lei Xing
  • Publisher : CRC Press
  • Release : 07 March 2019
GET THIS BOOK Big Data in Radiation Oncology

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the

Data Science and Big Data Analytics

Data Science and Big Data Analytics
  • Author : Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal
  • Publisher : Springer
  • Release : 01 August 2018
GET THIS BOOK Data Science and Big Data Analytics

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable