Guide To High Performance Distributed Computing
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Guide To High Performance Distributed Computing
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Author : K.G. Srinivasa
language : en
Publisher: Springer
Release Date : 2015-02-09
Guide To High Performance Distributed Computing written by K.G. Srinivasa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-09 with Computers categories.
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
Guide To Reliable Distributed Systems
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Author : Kenneth P Birman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-13
Guide To Reliable Distributed Systems written by Kenneth P Birman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-13 with Computers categories.
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.
Designing High Performance Distributed Systems Principles Practices And Case Studies
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Author : SIDDHARTH CHOUDHARY RAJESH PROF RAKESH KUMAR DWIVEDI
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Designing High Performance Distributed Systems Principles Practices And Case Studies written by SIDDHARTH CHOUDHARY RAJESH PROF RAKESH KUMAR DWIVEDI and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
In today’s world of interconnected digital ecosystems, distributed systems have become the backbone of virtually every modern application. From cloud platforms and e-commerce websites to social media networks and enterprise software, the need for scalable, reliable, and high-performance distributed systems has never been more paramount. As businesses and organizations increasingly rely on complex networks of interconnected services and devices, designing systems that can handle vast amounts of data, traffic, and demand while remaining resilient to failure is both an art and a science. "Designing High-Performance Distributed Systems: Principles, Practices, and Case Studies" is a comprehensive guide that offers both foundational knowledge and advanced techniques to help you navigate the challenges of building and maintaining distributed systems. Whether you're an aspiring software architect, an experienced engineer, or a technology leader, this book is crafted to give you the insights and tools needed to design systems that meet the growing demands of modern applications. At the heart of this book is a focus on the principles and practices that drive high-performance, scalable, and fault-tolerant systems. We explore how to architect distributed systems that can handle increasing load, ensure data consistency, minimize latency, and recover gracefully from failures. The book is structured to provide a solid understanding of core concepts such as concurrency, distributed algorithms, and network communication. We dive into key topics such as load balancing, data partitioning, replication, consistency models, fault tolerance, and performance optimization. Each chapter builds upon the last, with clear explanations and practical tips that will help you design systems that can scale effectively and perform reliably, even in the face of massive demand. Beyond the technical concepts, this book emphasizes the importance of collaboration between teams and the continuous learning needed to stay ahead of emerging trends in distributed systems. By combining theoretical knowledge with real-world examples and practical techniques, we aim to bridge the gap between academic principles and industry practices. As you journey through this book, you’ll gain the knowledge to design and build systems that are not only efficient and scalable but also resilient and maintainable. Whether you're working with microservices architectures, containerized environments, cloud-native applications, or hybrid systems, this guide will provide the tools you need to ensure high performance across all layers of your distributed architecture. Welcome to the world of high-performance distributed systems, where innovation, optimization, and resilience are the keys to success. Authors
Introduction To High Performance Computing For Scientists And Engineers
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Author : Georg Hager
language : en
Publisher: CRC Press
Release Date : 2010-07-02
Introduction To High Performance Computing For Scientists And Engineers written by Georg Hager and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-02 with Computers categories.
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author
Parallel I O For High Performance Computing
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Author : John M. May
language : en
Publisher: Morgan Kaufmann
Release Date : 2001
Parallel I O For High Performance Computing written by John M. May and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
"I enjoyed reading this book immensely. The author was uncommonly careful in his explanations. I'd recommend this book to anyone writing scientific application codes." -Peter S. Pacheco, University of San Francisco "This text provides a useful overview of an area that is currently not addressed in any book. The presentation of parallel I/O issues across all levels of abstraction is this book's greatest strength." -Alan Sussman, University of Maryland Scientific and technical programmers can no longer afford to treat I/O as an afterthought. The speed, memory size, and disk capacity of parallel computers continue to grow rapidly, but the rate at which disk drives can read and write data is improving far less quickly. As a result, the performance of carefully tuned parallel programs can slow dramatically when they read or write files-and the problem is likely to get far worse. Parallel input and output techniques can help solve this problem by creating multiple data paths between memory and disks. However, simply adding disk drives to an I/O system without considering the overall software design will not significantly improve performance. To reap the full benefits of a parallel I/O system, application programmers must understand how parallel I/O systems work and where the performance pitfalls lie. Parallel I/O for High Performance Computing directly addresses this critical need by examining parallel I/O from the bottom up. This important new book is recommended to anyone writing scientific application codes as the best single source on I/O techniques and to computer scientists as a solid up-to-date introduction to parallel I/O research. Features: An overview of key I/O issues at all levels of abstraction-including hardware, through the OS and file systems, up to very high-level scientific libraries. Describes the important features of MPI-IO, netCDF, and HDF-5 and presents numerous examples illustrating how to use each of these I/O interfaces. Addresses the basic question of how to read and write data efficiently in HPC applications. An explanation of various layers of storage - and techniques for using disks (and sometimes tapes) effectively in HPC applications.
Parallel And Distributed Computation Numerical Methods
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Author : Dimitri Bertsekas
language : en
Publisher: Athena Scientific
Release Date : 2015-03-01
Parallel And Distributed Computation Numerical Methods written by Dimitri Bertsekas and has been published by Athena Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-01 with Mathematics categories.
This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.
High Performance Heterogeneous Computing
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Author : Jack Dongarra
language : en
Publisher: John Wiley & Sons
Release Date : 2009-08-11
High Performance Heterogeneous Computing written by Jack Dongarra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-11 with Computers categories.
An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts: Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming Issues Performance Models of Heterogeneous Platforms and Design of Heterogeneous Algorithms Performance: Implementation and Software Applications Future Tre High Performance Heterogeneous Computing is a valuable¿reference for researchers and practitioners in the area of high performance heterogeneous computing. It also serves as an excellent supplemental text for graduate and postgraduate courses in related areas.
Scaling Up Machine Learning
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Author : Ron Bekkerman
language : en
Publisher: Cambridge University Press
Release Date : 2012
Scaling Up Machine Learning written by Ron Bekkerman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Distributed Computing
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Author : Ajay D. Kshemkalyani
language : en
Publisher: Cambridge University Press
Release Date : 2011-03-03
Distributed Computing written by Ajay D. Kshemkalyani and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-03 with Technology & Engineering categories.
Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.
Cyber Security And Threats Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-05-04
Cyber Security And Threats Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Computers categories.
Cyber security has become a topic of concern over the past decade as private industry, public administration, commerce, and communication have gained a greater online presence. As many individual and organizational activities continue to evolve in the digital sphere, new vulnerabilities arise. Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on new methodologies and applications in the areas of digital security and threats. Including innovative studies on cloud security, online threat protection, and cryptography, this multi-volume book is an ideal source for IT specialists, administrators, researchers, and students interested in uncovering new ways to thwart cyber breaches and protect sensitive digital information.