Fast and Scalable Cloud Data Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast and Scalable Cloud Data Management write by Felix Gessert. This book was released on 2020-05-15. Fast and Scalable Cloud Data Management available in PDF, EPUB and Kindle. The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Frontiers in Massive Data Analysis
Frontiers in Massive Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Frontiers in Massive Data Analysis write by National Research Council. This book was released on 2013-09-03. Frontiers in Massive Data Analysis available in PDF, EPUB and Kindle. Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Cloud and Edge Networking
Cloud and Edge Networking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cloud and Edge Networking write by Kamel Haddadou. This book was released on 2023-11-28. Cloud and Edge Networking available in PDF, EPUB and Kindle. A major transformation in the world of networks is underway, as the focus shifts from physical technology to software-based solutions. In this book, the authors present this new generation of networks that are based in the Cloud by detailing the transition from a complex environment to a simple digital infrastructure. This infrastructure brings together connected devices, the antennas that collect radio waves, the optical fibers that carry signals and the data center that handles all of the different processes. From this perspective, the data center becomes the brain, managing network services, controls, automation, intelligence, security and other applications. This architecture is relevant to carrier networks, the Internet of Things, enterprise networks and the global networks of the major Internet companies. Cloud and Edge Networking further discusses developments at the border of networks, the Edge, where data is processed as near as possible to the source. Over the next ten years, the Edge will become a major strategic factor.
Neural Information Processing. Models and Applications
Neural Information Processing. Models and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Information Processing. Models and Applications write by Kevin K.W. Wong. This book was released on 2010-11-18. Neural Information Processing. Models and Applications available in PDF, EPUB and Kindle. The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
Scalable Cloud Computing: Patterns for Reliability and Performance
Scalable Cloud Computing: Patterns for Reliability and Performance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scalable Cloud Computing: Patterns for Reliability and Performance write by Peter Jones. This book was released on 2024-10-14. Scalable Cloud Computing: Patterns for Reliability and Performance available in PDF, EPUB and Kindle. Dive into the transformative world of cloud computing with "Scalable Cloud Computing: Patterns for Reliability and Performance," your comprehensive guide to mastering the principles, strategies, and practices that define modern cloud environments. This carefully curated book navigates through the intricate landscape of cloud computing, from foundational concepts and architecture to designing resilient, scalable applications and managing complex data in the cloud. Whether you're a beginner seeking to understand the basics or an experienced professional aiming to enhance your skills, this book offers deep insights into ensuring reliability, optimizing performance, securing cloud environments, and much more. Explore the latest trends, including microservices, serverless computing, and emerging technologies that are pushing the boundaries of what's possible in the cloud. Through detailed explanations, practical examples, and real-world case studies, "Scalable Cloud Computing: Patterns for Reliability and Performance" equips you with the knowledge to architect and deploy robust applications that leverage the full potential of cloud computing. Unlock the secrets to optimizing costs, automating deployments with CI/CD, and navigating the complexities of data management and security in the cloud. This book is your gateway to becoming an expert in cloud computing, ready to tackle challenges and seize opportunities in this ever-evolving field. Join us on this journey to mastering cloud computing, where scalability and reliability are within your reach.
