本文档为Honeywell EPKS系统控制组态的最佳实践和质量检查，是作者多年大MAV项目经验的总结，讲述了在实际工程组态应避免的典型错误，和控制器负荷检查以及检查标准，后面还讲述了工程组态中组态质量检查工具。 本手册可作为组态工程师质量检查的依据。

Table of Contents: PART 1 - DOCKER FUNDAMENTALS Chapter 1 Discovering Docker Chapter 2 Understanding Docker: Inside The Engine Room PART 2 - DOCKER AND DEVELOPMENT Chapter 1 Using Docker As A Lightweight Virtual Machine Chapter 2 Building Images Chapter 3 Running Containers Chapter 4 Day-To-Day Docker Chapter 5 Configuration Management: Getting Your House In Order PART 3 - DOCKER AND DEVOPS Chapter 1 Continuous Integration: Speeding Up Your Development Pipeline Chapter 2 Continuous Delivery: A Perfect Fit For Docker Principles Chapter 3 Network Simulation: Realistic Environment Testing Without The Pain PART 4 - ORCHESTRATION FROM A SINGLE MACHINE TO THE CLOUD Chapter 1 A Primer On Container Orchestration Chapter 2 The Data Center As An Os With Docker Chapter 3 Docker Platforms PART 5 - DOCKER IN PRODUCTION Chapter 1 Docker And Security Chapter 2 Plain Sailing: Running Docker In Production Chapter 3 Docker In Production: Dealing With Challenges

这本书这么经典，一定要读原版才行，中文版翻译得太烂了。

Wireless Communications Principles and Practice 2nd Edition, T Rappaport, Prentice Hall。无线通信原理教材

Best Practice Guide - Classical Migration of SAP NetWeaver AS ABAP to SAP HANA

“There’s an incredible amount of depth and thinking in the practices described here, and it’s impressive to see it all in one place.” —Win Treese, coauthor of Designing Systems for Internet Commerce The Practice of Cloud System Administration, Volume 2, focuses on “distributed” or “cloud” computing and brings a DevOps/SRE sensibility to the practice of system administration. Unsatisfied with books that cover either design or operations in isolation, the authors created this authoritative reference centered on a comprehensive approach. Case studies and examples from Google, Etsy, Twitter, Facebook, Netflix, Amazon, and other industry giants are explained in practical ways that are useful to all enterprises. The new companion to the best-selling first volume, The Practice of System and Network Administration, Second Edition, this guide offers expert coverage of the following and many other crucial topics: Designing and building modern web and distributed systems Fundamentals of large system design Understand the new software engineering implications of cloud administration Make systems that are resilient to failure and grow and scale dynamically Implement DevOps principles and cultural changes IaaS/PaaS/SaaS and virtual platform selection Operating and running systems using the latest DevOps/SRE strategies Upgrade production systems with zero down-time What and how to automate; how to decide what not to automate On-call best practices that improve uptime Why distributed systems require fundamentally different system administration techniques Identify and resolve resiliency problems before they surprise you Assessing and evaluating your team’s operational effectiveness Manage the scientific process of continuous improvement A forty-page, pain-free assessment system you can start using today

电子设计自动化理论与实践,介绍集成电路自动化设计中的典型大规模优化问题及基本算法.

This second edition covers Hadoop 2, which at the time of writing is the current production-ready version of Hadoop. The first edition of the book covered Hadoop 0.22 (Hadoop 1 wasn’t yet out), and Hadoop 2 has turned the world upside-down and opened up the Hadoop platform to processing paradigms beyond MapReduce. YARN, the new scheduler and application manager in Hadoop 2, is complex and new to the community, which prompted me to dedicate a new chapter 2 to covering YARN basics and to discussing how MapReduce now functions as a YARN application. Parquet has also recently emerged as a new way to store data in HDFS—its columnar format can yield both space and time efficiencies in your data pipelines, and it’s quickly becoming the ubiquitous way to store data. Chapter 4 includes extensive coverage of Parquet, which includes how Parquet supports sophisticated object models such as Avro and how various Hadoop tools can use Parquet. How data is being ingested into Hadoop has also evolved since the first edition, and Kafka has emerged as the new data pipeline, which serves as the transport tier between your data producers and data consumers, where a consumer would be a system such as Camus that can pull data from Kafka into HDFS. Chapter 5, which covers moving data into and out of Hadoop, now includes coverage of Kafka and Camus.

Operating Systems Principles and Practice Vol III(2nd) 英文epub 第2版 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

java并发编程实战