Tutorial Distributed System Design
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| Author | : Brendan Burns |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 164 |
| Release | : 2018-02-20 |
| Genre | : Computers |
| ISBN | : 1491983612 |
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
| Author | : |
| Publisher | : |
| Total Pages | : 144 |
| Release | : 1981 |
| Genre | : Electronic data processing |
| ISBN | : |
| Author | : Jie Wu |
| Publisher | : CRC Press |
| Total Pages | : 504 |
| Release | : 1998-08-06 |
| Genre | : Computers |
| ISBN | : 9780849331787 |
Future requirements for computing speed, system reliability, and cost-effectiveness entail the development of alternative computers to replace the traditional von Neumann organization. As computing networks come into being, one of the latest dreams is now possible - distributed computing. Distributed computing brings transparent access to as much computer power and data as the user needs for accomplishing any given task - simultaneously achieving high performance and reliability. The subject of distributed computing is diverse, and many researchers are investigating various issues concerning the structure of hardware and the design of distributed software. Distributed System Design defines a distributed system as one that looks to its users like an ordinary system, but runs on a set of autonomous processing elements (PEs) where each PE has a separate physical memory space and the message transmission delay is not negligible. With close cooperation among these PEs, the system supports an arbitrary number of processes and dynamic extensions. Distributed System Design outlines the main motivations for building a distributed system, including: inherently distributed applications performance/cost resource sharing flexibility and extendibility availability and fault tolerance scalability Presenting basic concepts, problems, and possible solutions, this reference serves graduate students in distributed system design as well as computer professionals analyzing and designing distributed/open/parallel systems. Chapters discuss: the scope of distributed computing systems general distributed programming languages and a CSP-like distributed control description language (DCDL) expressing parallelism, interprocess communication and synchronization, and fault-tolerant design two approaches describing a distributed system: the time-space view and the interleaving view mutual exclusion and related issues, including election, bidding, and self-stabilization prevention and detection of deadlock reliability, safety, and security as well as various methods of handling node, communication, Byzantine, and software faults efficient interprocessor communication mechanisms as well as these mechanisms without specific constraints, such as adaptiveness, deadlock-freedom, and fault-tolerance virtual channels and virtual networks load distribution problems synchronization of access to shared data while supporting a high degree of concurrency
| Author | : Michael P. Mariani |
| Publisher | : |
| Total Pages | : 430 |
| Release | : 1979 |
| Genre | : Electronic data processing |
| ISBN | : |
| Author | : Martin Kleppmann |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 658 |
| Release | : 2017-03-16 |
| Genre | : Computers |
| ISBN | : 1491903104 |
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 | : Michael P. Mariani |
| Publisher | : IEEE Computer Society |
| Total Pages | : 409 |
| Release | : 1979-06-01 |
| Genre | : Electronic data processing |
| ISBN | : |
| Author | : Christian Cachin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 381 |
| Release | : 2011-02-11 |
| Genre | : Computers |
| ISBN | : 3642152600 |
In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Failures may range from crashes to adversarial attacks by malicious processes. Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding This book represents the second edition of "Introduction to Reliable Distributed Programming". Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name "Byzantine fault-tolerance".
| Author | : |
| Publisher | : |
| Total Pages | : 409 |
| Release | : 1979 |
| Genre | : Electronic data processing |
| ISBN | : |
| Author | : Michael P. Mariani |
| Publisher | : |
| Total Pages | : 424 |
| Release | : 1979 |
| Genre | : Electronic data processing |
| ISBN | : |
This tutorial defines a design approach for distributed computing systems. We are concerned with systems composed of potentially man processing and memory components working together to serve a common application. For these designs, control of the system is decentralized, i.e., the controller does not reside in a single processor. Distributed systems are less costly, thanks to the ability to replace/reprogram single components, which means better reliability and fault tolerance. Decentralization eliminates single-point failure.
| Author | : Travis Jeffery |
| Publisher | : Pragmatic Bookshelf |
| Total Pages | : 225 |
| Release | : 2020-10-27 |
| Genre | : |
| ISBN | : 9781680507607 |
You know the basics of Go and are eager to put your knowledge to work. This book is just what you need to apply Go to real-world situations. You'll build a distributed service that's highly available, resilient, and scalable. Along the way you'll master the techniques, tools, and tricks that skilled Go programmers use every day to build quality applications. Level up your Go skills today. Take your Go skills to the next level by learning how to design, develop, and deploy a distributed service. Start from the bare essentials of storage handling, then work your way through networking a client and server, and finally to distributing server instances, deployment, and testing. All this will make coding in your day job or side projects easier, faster, and more fun. Lay out your applications and libraries to be modular and easy to maintain. Build networked, secure clients and servers with gRPC. Monitor your applications with metrics, logs, and traces to make them debuggable and reliable. Test and benchmark your applications to ensure they're correct and fast. Build your own distributed services with service discovery and consensus. Write CLIs to configure your applications. Deploy applications to the cloud with Kubernetes and manage them with your own Kubernetes Operator. Dive into writing Go and join the hundreds of thousands who are using it to build software for the real world. What You Need: Go 1.11 and Kubernetes 1.12.
