Search results for "Distributed Optimization and Learning"
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Designing Distributed Systems
Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others.The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before.Author Brendan Burns 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.This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.Understand how patterns and reusable components enable the rapid development of reliable distributed systemsUse the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machineExplore loosely coupled multinode distributed patterns for replication, scaling, and communication between componentsLearn distributed system patterns for large-scale batch data processing covering work queues, event-based processing, and coordinated workflows
R 1,368.00
R 642.00
Distributed Computer and Communication Networks
This book constitutes the refereed proceedings of the 20th International Conference on Distributed and Computer and Communication Networks, DCCN 2017, held in Moscow, Russia, in September 2017.The 39 full papers and the two short papers were carefully reviewed and selected from 176 submissions. The papers cover the following topics: computer and communication networks architecture optimization; control in computer and communication networks; performance and QoS/QoE evaluation in wireless networks; analytical modeling and simulation of next-generation communications systems; queueing theory and reliability theory applications in computer networks; wireless 4G/5G networks, cm- and mm-wave radio technologies; RFID technology and its application in intellectual transportation networks; Internet of Things, wearables, and applications of distributed information systems; probabilistic and statistical models in information systems; mathematical modeling of high-tech systems; mathematical modeling and control problems; distributed and cloud computing systems, big data analytics.
R 2,205.05
Distributed Computer and Communication Networks
This book constitutes the refereed proceedings of the 25th International Conference on Distributed Computer and Communication Networks, DCCN 2022, held in Moscow, Russia, in September 2022.The 27 full papers and 2 short papers included in this book were carefully reviewed and selected from 130 submissions. They were organized in topical sections as follows: Distributed Systems Applications, Computer and Communication Networks, Analytical Modeling of Distributed Systems.
R 3,525.52
Stabilization, Safety, and Security of Distributed Systems
This book constitutes the refereed proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2018, held in Tokyo, Japan, in November 2018. The 24 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized into three tracks reflecting major trends related to distributed systems: theoretical and practical aspects of stabilizing systems; distributed networks and concurrency; and safety in malicious environments.
R 2,193.86
Site Reliability Engineering
Google pioneered the discipline of Site Reliability Engineering, applying reliability to the entire user journey for consumer, enterprise, and infrastructure systems. In the years since, many organizations have followed suit, guided by the tenets laid out in this practical book. This fully revised edition brings Site Reliability Engineering up-to-date with fresh insights on engineering techniques, organizational processes, and case studies that will help you promote and implement greater reliability throughout the engineering lifecycle.In this collection of essays and articles, key members of Google's Site Reliability Engineering team explore the company's current SRE practices and explain how they've evolved in the decade since the initial publication. New updates cover the value of reliability, cloud reliability, and the impact of AI. You'll learn the principles and practices that enable Google engineers to make some of the world's largest systems scalable, reliable, and efficient-lessons directly applicable to your organization.Train new Site Reliability Engineers based on the latest practices in the fieldDevelop engineering organizations that support reliability as a featureBuild online services that incorporate reliability principlesUse AI to improve SRE across the organization and optimize critical areas such as automation and incident detection
R 1,824.00
