Distributed File Systems Engineering
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Distributed File Systems Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Distributed File Systems Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.
"Distributed File Systems Engineering" "Distributed File Systems Engineering" provides a comprehensive and authoritative exploration of the architectural, operational, and practical challenges that define modern distributed file systems (DFS). Designed for engineers, architects, and technical leaders, this book delves into foundational principles such as transparency, scalability, and reliability, and meticulously examines major architectural models—from client-server and peer-to-peer to emerging hybrid paradigms. It presents a nuanced survey of early trailblazers like NFS and AFS, through to the sophisticated architectures underpinning current large-scale and cloud-native DFS deployments. The book expertly addresses critical engineering concerns including consistency, synchronization, and concurrency control, offering an in-depth analysis of various consistency models, distributed locking, and conflict resolution strategies. Readers gain insight into advanced data distribution techniques, such as fragmentation, striping, replication, erasure coding, and automated balancing for resilient, high-performance storage. Thorough coverage of scalability, performance engineering, and fault tolerance ensures that practitioners can design systems capable of adapting to demanding workloads and rapidly evolving operational realities, while robust chapters on security and access control equip professionals to safeguard file systems against ever-present threats. Rounding out its technical rigor, "Distributed File Systems Engineering" bridges theory with practice through case studies of leading systems, including Google File System, HDFS, Ceph, Amazon S3, and Azure Data Lake. It explores integration patterns, cross-system interoperability, system observability, and operational best practices such as deployment automation, capacity planning, and incident response. Forward-looking discussions of edge storage, geo-distribution, and decentralized technologies position the reader at the frontier of DFS innovation, making this text an essential resource for those seeking to master both the current state and the evolving future of distributed storage systems.
Nfs Illustrated
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Author : Brent Callaghan
language : en
Publisher: Addison-Wesley
Release Date : 1999-12-24
Nfs Illustrated written by Brent Callaghan and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-12-24 with Computers categories.
The Network File System (NFS) protocol that enables remote access to files is now a key element of any LAN. It is also currently and increasingly used as a key technology with the Web and wide area networks. Written for programmers creating NFS-based applications, network engineers creating new implementations of NFS, and network managers, NFS Illustrated promotes a thorough understanding of that protocol through extensive diagrams and real protocol traces that show NFS in action. Covering NFS versions 2 and 3, the book also looks into WebNFS and the new NFS version 4, with Internet support. Detailed and authoritative, the book not only examines NFS in depth, but also describes the protocols that underlie and support it, including External Data Representation (XDR), Remote Procedure Call (RPC), the NFS MOUNT protocol, and the NFS Lock Manager protocol. It discusses several NFS variants and compares NFS to a number of alternative file systems. You will find a detailed discussion on the NFS filesystem model and a procedure-by-procedure description of NFS versions 2 and 3, illustrated through the use of snoop traces that capture and display protocol packets from the network. In addition, the book addresses real-world implementation issues faced by those building an NFS client or server, factors that affect NFS performance, and critical performance benchmarks. Specific topics of interest include: NFS version 4, highlighting performance improvements, security features, and cross-platform interoperability for Internet operation RPC authentication and security Differences between NFS versions 2 and 3 Implementation issues for clients and servers Read-ahead and write-behind Caching policies The Lock Manager protocol Automounting NFS variants, including Spritely NFS, NQNFS, Trusted NFS, and NASD NFS NFS competitors: RFS, AFS, DCE/DFS, and CIFS The PCNFS protocol for implementing NFS on PC operating systems SPEC SFS benchmarks, WebNFS, and firewalls Comprehensive and current, NFS Illustrated is an essential resource for network professionals who want to use this widespread and evolving technology to its fullest.
Advances In Computer Science And It
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Author : Dil Hussain
language : en
Publisher: BoD – Books on Demand
Release Date : 2009-12-01
Advances In Computer Science And It written by Dil Hussain and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-01 with Computers categories.
The book presents some very interesting and excellent articles for this divergent title. The 22 chapters presented here cover core topics of computer science such as visualization of large databases, security, ontology, user interface, graphs, object oriented software developments, and on the engineering side filtering, motion dynamics, adaptive fuzzy logic, and hyper static mechanical systems. It also covers topics which are combination of computer science and engineering such as meta computing, future mobiles, colour image analysis, relative representation and recognition, and neural networks. The book will serve a unique purpose through these multi-disciplined topics to share different but interesting views on each of these topics.
Human Centered Computing
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Author : Qiaohong Zu
language : en
Publisher: Springer
Release Date : 2015-03-03
Human Centered Computing written by Qiaohong Zu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-03 with Computers categories.
This book constitutes revised selected papers from the refereed proceedings of the First Human Centered Computing Conference, HCC 2014, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World. The 54 full papers and 30 short papers presented in this volume were carefully reviewed and selected from 152 submissions. These proceedings present research papers investigating into a variety of aspects towards human centric intelligent societies. They cover the categories: infrastructure and devices; service and solution; data and knowledge; and community.
Ict Innovations 2015
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Author : Suzana Loshkovska
language : en
Publisher: Springer
Release Date : 2015-10-03
Ict Innovations 2015 written by Suzana Loshkovska and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-03 with Computers categories.
This book offers a collection of selected papers presented at the Seventh International Conference on ICT Innovations held in October 2015, in Ohrid, Macedonia, with main topic Emerging Technologies for Better Living. The conference gathered academics, professionals and industrial practitioners that work on developing the emerging technologies, systems, applications in the industrial and business arena especially innovative commercial implementations, novel application of technology, and experience in applying recent ICT research advances to practical solutions.
Annotated Bibliography Of The Literature On Resource Sharing Computer Networks
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Author : Robert P. Blanc
language : en
Publisher:
Release Date : 1973
Annotated Bibliography Of The Literature On Resource Sharing Computer Networks written by Robert P. Blanc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Computer networks categories.
Cloud Computing Solutions
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Author : Souvik Pal
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-11
Cloud Computing Solutions written by Souvik Pal 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 2022-05-11 with Computers categories.
CLOUD COMPUTING SOLUTIONS The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures. This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include: The evolution of cloud computing from grid computing, cluster computing, and distributed systems; Covers cloud computing and virtualization environments; Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing; Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues; Explains complex concepts clearly and covers information for advanced users and beginners. Audience The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.
Data Engineering With Scala And Spark
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Author : Eric Tome
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31
Data Engineering With Scala And Spark written by Eric Tome and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
What Every Engineer Should Know About Data Driven Analytics
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Author : Satish Mahadevan Srinivasan
language : en
Publisher: CRC Press
Release Date : 2023-04-13
What Every Engineer Should Know About Data Driven Analytics written by Satish Mahadevan Srinivasan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making Introduces various approaches to build models that exploits different algorithms Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets Explores the augmentation of technical and mathematical materials with explanatory worked examples Includes a glossary, self-assessments, and worked-out practice exercises Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.
Google Cloud Platform For Data Engineering
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Author : Alasdair Gilchrist
language : en
Publisher: Alasdair Gilchrist
Release Date :
Google Cloud Platform For Data Engineering written by Alasdair Gilchrist and has been published by Alasdair Gilchrist this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.