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| Author | : Borko Furht |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 795 |
| Release | : 2011-12-10 |
| Genre | : Computers |
| ISBN | : 1461414156 |
Download Handbook of Data Intensive Computing Book in PDF, ePub and Kindle
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
| Author | : |
| Publisher | : |
| Total Pages | : 812 |
| Release | : 2011-12-01 |
| Genre | : |
| ISBN | : 9781461414162 |
Download Handbook of Data Intensive Computing Book in PDF, ePub and Kindle
| Author | : Borko Furht |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 795 |
| Release | : 2011-12-09 |
| Genre | : Computers |
| ISBN | : 1461414148 |
Download Handbook of Data Intensive Computing Book in PDF, ePub and Kindle
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
| Author | : M. Mittal |
| Publisher | : IOS Press |
| Total Pages | : 618 |
| Release | : 2018-01-31 |
| Genre | : Computers |
| ISBN | : 1614998140 |
Download Data Intensive Computing Applications for Big Data Book in PDF, ePub and Kindle
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
| Author | : Ian Gorton |
| Publisher | : Cambridge University Press |
| Total Pages | : 299 |
| Release | : 2012-10-29 |
| Genre | : Computers |
| ISBN | : 1139788507 |
Download Data-Intensive Computing Book in PDF, ePub and Kindle
The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.
| Author | : Borko Furht |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 638 |
| Release | : 2010-09-11 |
| Genre | : Computers |
| ISBN | : 1441965246 |
Download Handbook of Cloud Computing Book in PDF, ePub and Kindle
Cloud computing has become a significant technology trend. Experts believe cloud computing is currently reshaping information technology and the IT marketplace. The advantages of using cloud computing include cost savings, speed to market, access to greater computing resources, high availability, and scalability. Handbook of Cloud Computing includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. This book presents the systems, tools, and services of the leading providers of cloud computing; including Google, Yahoo, Amazon, IBM, and Microsoft. The basic concepts of cloud computing and cloud computing applications are also introduced. Current and future technologies applied in cloud computing are also discussed. Case studies, examples, and exercises are provided throughout. Handbook of Cloud Computing is intended for advanced-level students and researchers in computer science and electrical engineering as a reference book. This handbook is also beneficial to computer and system infrastructure designers, developers, business managers, entrepreneurs and investors within the cloud computing related industry.
| Author | : Kosar, Tevfik |
| Publisher | : IGI Global |
| Total Pages | : 353 |
| Release | : 2012-01-31 |
| Genre | : Computers |
| ISBN | : 1615209727 |
Download Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management Book in PDF, ePub and Kindle
"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.
| Author | : Martin Kleppmann |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 658 |
| Release | : 2017-03-16 |
| Genre | : Computers |
| ISBN | : 1491903104 |
Download Designing Data-Intensive Applications Book in PDF, ePub and Kindle
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
| Author | : Li, Kuan-Ching |
| Publisher | : IGI Global |
| Total Pages | : 1086 |
| Release | : 2009-07-31 |
| Genre | : Computers |
| ISBN | : 1605666629 |
Download Handbook of Research on Scalable Computing Technologies Book in PDF, ePub and Kindle
"This book presents, discusses, shares ideas, results and experiences on the recent important advances and future challenges on enabling technologies for achieving higher performance"--Provided by publisher.
| Author | : Kyriazis, Dimosthenis |
| Publisher | : IGI Global |
| Total Pages | : 342 |
| Release | : 2013-04-30 |
| Genre | : Computers |
| ISBN | : 1466639350 |
Download Data Intensive Storage Services for Cloud Environments Book in PDF, ePub and Kindle
With the evolution of digitized data, our society has become dependent on services to extract valuable information and enhance decision making by individuals, businesses, and government in all aspects of life. Therefore, emerging cloud-based infrastructures for storage have been widely thought of as the next generation solution for the reliance on data increases. Data Intensive Storage Services for Cloud Environments provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments. This reference source brings together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers.
