Emphasizing Distributed Systems
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Emphasizing Distributed Systems
As the computer industry moves into the 21st century, the long-running Advances in Computers is ready to tackle the challenges of the new century with insightful articles on new technology, just as it has since 1960 in chronicling the advances in computer technology from the last century. As the longest-running continuing series on computers, Advances in Computers presents those technologies that will affect the industry in the years to come. In this volume, the 53rd in the series, we present 8 relevant topics. The first three represent a common theme on distributed computing systems -using more than one processor to allow for parallel execution, and hence completion of a complex computing task in a minimal amount of time. The other 5 chapters describe other relevant advances from the late 1990s with an emphasis on software development, topics of vital importance to developers today- process improvement, measurement and legal liabilities. - Longest running series on computers - Contains eight insightful chapters on new technology - Gives comprehensive treatment of distributed systems - Shows how to evaluate measurements - Details how to evaluate software process improvement models - Examines how to expand e-commerce on the Web - Discusses legal liabilities in developing software—a must-read for developers
Meta-Heuristic Algorithms for Advanced Distributed Systems
META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Site Reliability Engineering
Author: Niall Richard Murphy
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2016-03-23
The overwhelming majority of a software systemâ??s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Googleâ??s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. Youâ??ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficientâ??lessons directly applicable to your organization. This book is divided into four sections: Introductionâ??Learn what site reliability engineering is and why it differs from conventional IT industry practices Principlesâ??Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practicesâ??Understand the theory and practice of an SREâ??s day-to-day work: building and operating large distributed computing systems Managementâ??Explore Google's best practices for training, communication, and meetings that your organization can use