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cloudnaas a cloud networking platform for enterprise application

cloud networking platform
2011-11-17 上传大小:778KB
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JBoss_Enterprise_Application_Platform-7.0

JBOSS7.0全套的api 从官网下载 https://developers.redhat.com/products/eap/docs-and-apis/ 同学们不用再一个个下载啦!

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A Practical Guide to Fedora and Red Hat Enterprise Linux.pdf

这是学习linux的一本好书,是英文版的,想学的话可以看一下

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Accelerate Development and Deployment for Hybrid Cloud

Containers and Container Orchestration Microservices IBM Cloud Private –A platform for running containers and microservices Demonstration Solutions View –Cloud Architecture and Application Architecture

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Aneka:A Platform for Enterprise Grid/Cloud Computing

Aneka:A Platform for Enterprise Grid/Cloud Computing Christian Vecchiola Ph.D. GRIDSLab, Computer Science Software Engineering The University of Melbourne csve@unimelb.edu.au

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VMware Cloud Application Platform

VMware Cloud Application Platform Lawrence Crowther 高级系统工程师

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Building.Your.Next.Big.Thing.with.Google.Cloud.Platform.1484210050

Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Google is known for the scalability, reliability, and efficiency of its various online products, from Google Search to Gmail. And, the results are impressive. Google Search, for example, returns results literally within fractions of second. How is this possible? Google custom-builds both hardware and software, including servers, switches, networks, data centers, the operating system’s stack, application frameworks, applications, and APIs. Have you ever imagined what you could build if you were able to tap the same infrastructure that Google uses to create and manage its products? Now you can! Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Using this book as your compass, you can navigate your way through the Google Cloud Platform and turn your ideas into reality. The authors, both Google Developer Experts in Google Cloud Platform, systematically introduce various Cloud Platform products one at a time and discuss their strengths and scenarios where they are a suitable fit. But rather than a manual-like "tell all" approach, the emphasis is on how to Get Things Done so that you get up to speed with Google Cloud Platform as quickly as possible. You will learn how to use the following technologies, among others: Google Compute Engine Google App Engine Google Container Engine Google App Engine Managed VMs Google Cloud SQL Google Cloud Storage Google Cloud Datastore Google BigQuery Google Cloud Dataflow Google Cloud DNS Google Cloud Pub/Sub Google Cloud Endpoints Google Cloud Deployment Manager Author on Google Cloud Platform Google APIs and Translate API Using real-world examples, the authors first walk you through the basics of cloud computing, cloud terminologies and public cloud services. Then they dive right into Google Cloud Platform and how you can use it to tackle your challenges, build new products, analyze big data, and much more. Whether you’re an independent developer, startup, or Fortune 500 company, you have never had easier to access to world-class production, product development, and infrastructure tools. Google Cloud Platform is your ticket to leveraging your skills and knowledge into making reliable, scalable, and efficient products—just like how Google builds its own products. What you’ll learn A brief introduction to Cloud Computing Distinctive characteristics of Google Cloud Platform The right way to do Authentication, Authorization to access Google Cloud Platform resources and user’s data An overview of Google Cloud Platform technologies including compute, storage, networking, Big Data and application services. Build, maintain and iterate over a backend infrastructure on Google Cloud Platform. Optimize and scale existing projects on Google Cloud Platform. Perform Big Data analytics using Google technologies. Host web services in Cloud Platform and orchestrate complex applications with ease. Architecture recipes using several Google Cloud Platform harmoniously Who this book is for Application Developers and Enterprise Architects seeking a robust and powerful cloud-hosted, backend, infrastructure for apps, services, research, and more. Table of Contents Part I: Introducing Cloud Computing and Google Cloud Platform Chapter 1: The Google Cloud Platform Difference Chapter 2: Getting Started with Google Cloud Platform Chapter 3: Using Google APIs Part II: Google Cloud Platform - Compute Products Chapter 4: Google Compute Engine Chapter 5: Google App Engine Chapter 6: Next Generation DevOps Initiatives Part III: Google Cloud Platform - Storage Products Chapter 7: Google Cloud SQL Chapter 8: Cloud Storage Chapter 9: Google Cloud Datastore Part IV: Google Cloud Platform - Big Data Products Chapter 10: Google BigQuery Chapter 11: Google Cloud Dataflow Chapter 12: Google Cloud Pub/Sub Part V: Google Cloud Platform - Networking and Services Chapter 13: Google Cloud DNS Chapter 14: Google Cloud Endpoints Part VI: Google Cloud Platform - Management and Recipes Chapter 15: Cloud Platform DevOps Toolbox Chapter 16: Architecture Recipes for Google Cloud Platform

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Foundations of Modern Networking-Pearson Education(2016).epub

A host of factors have converged to produce the latest revolution in computer and communications networking: Image Demand: Enterprises are faced with a surge of demands that focus their attention on the need to design, evaluate, manage, and maintain sophisticated network infrastructures. These trends include the following: Image Big data: Enterprises large and small increasingly rely on processing and analyzing massive amounts of data. To process large quantities of data within tolerable time periods, big data may need distributed file systems, distributed databases, cloud computing platforms, Internet storage, and other scalable storage technologies. Image Cloud computing: There is an increasingly prominent trend in many organizations to move a substantial portion or even all information technology (IT) operations to an Internet-connected infrastructure known as enterprise cloud computing. This drastic shift in IT data processing is accompanied by an equally drastic shift in networking requirements. Image Internet of Things (IoT): The IoT involves large numbers of objects that use standard communications architectures to provide services to end users. Billions of such devices will be interconnected in industrial, business, and government networks, providing new interactions between the physical world and computing, digital content, analysis, applications, and services. IoT provides unprecedented opportunities for users, manufacturers, and service providers in a wide variety of sectors. Areas that will benefit from IoT data collection, analysis, and automation capabilities include health and fitness, healthcare, home monitoring and automation, energy savings and smart grid, farming, transportation, environmental monitoring, inventory and product management, security, surveillance, education, and many others.

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Cloud Computing and SOA Convergence in Your Enterprise: A Step-by-Step Guide

Massive, disruptive change is coming to IT as Software as a Service (SaaS), SOA, mashups, Web 2.0, and cloud computing truly come of age. Now, one of the world’s leading IT innovators explains what it all means—coherently, thoroughly, and authoritatively. Writing for IT executives, architects, and developers alike, world-renowned expert David S. Linthicum explains why the days of managing IT organizations as private fortresses will rapidly disappear as IT inevitably becomes a global community. He demonstrates how to run IT when critical elements of customer, product, and business data and processes extend far beyond the firewall—and how to use all that information to deliver real-time answers about everything from an individual customer’s credit to the location of a specific cargo container.

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Systems Performance Enterprise and the Cloud 无水印原版pdf

Systems Performance Enterprise and the Cloud 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

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hornetq使用指导手册(英文版)

JBoss Enterprise Application Platform 5 HornetQ User Guide

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Systems Performance Enterprise and the Cloud

性能之巅:洞悉系统、企业与云计算(英文原版) 大型企业服务、云计算和虚拟计算系统都面临着严重的性能挑战。如今,国际知名的性能专家Brendan Gregg将业界验证的方法、工具和指标融汇在一起,足以应对*为复杂环境的分析和调优工作。《性能之巅》着力讲述Linux和Unix的性能,但所论述的性能问题适用于所有操作系统。你将洞察到系统是如何工作与执行的,学习到如何分析和改进系统和应用程序性能的方法。 Gregg书中的示例都通过裸机和云端虚拟机做演示,所运行的系统包括基于Linux的Ubuntu、Fedora、CentOS和基于Illumos的Joyent SmartOS和OminiTI OmniOS。无论是CPU、内存、磁盘与网络的“传统”分析,还是像云计算和动态跟踪这类新领域,本书系统地覆盖了现代系统性能的方方面面。这本书还帮助你识别复杂性能中“未知的未知”——在你不知道的地方出现的瓶颈。本书还收纳了一个详实的研究实例,向你展示一个真实云计算问题是如何从头到尾做分析的。 □ 现代性能分析与调优:术语、概念、模型、方法和技术 □ 动态跟踪技术与工具,收录DTrace、SystemTap和Perf示例 □ 内核内幕:揭示OS在做什么 □ 如何使用系统观测工具、接口和框架 □ 理解和监控应用程序性能 □ 优化CPU:处理器、核、硬件线程、缓存、互联与内核调度 □ 内存优化:虚拟内存、换页、交换、内存架构、总线、地址空间与分配器 □ 文件系统I/O,包括缓存 □ 存储设备/控制器、磁盘I/O工作负载、RAID,以及内核I/O □ 网络相关性能问题:协议、套接字、网卡和物理连接。 □ OS和基于硬件虚拟化的性能实现,以及云计算所遇到的新问题 □ 基准测试:如何得到精确的结果并避免一般性的错误 《性能之巅:洞悉系统、企业与云计算》是企业和云计算环境运维人员的必备指导:系统管理员、网络管理员、数据库管理员和Web管理员、开发工程师以及其他专业人员。对于新接触性能优化的学生等人员,本书还提供了饱含Gregg丰富的教学经验的练习题目。

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A Model Driven Architecture for Enterprise Application Integration.

A Model Driven Architecture for Enterprise Application Integration. A Model Driven Architecture for Enterprise Application Integration.

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Patterns of Enterprise Application Architecture(中文版)

英文名称:Martin Fowler的《Patterns of Enterprise Application Architecture》 中文名:企业应用架构模式中文版 一本很不错的书,如果你将来想做一名优秀的架构师,就一定要读读这本书。 现在这本书已经买不到了,所以找一个电子版给大家分享一下。 Martin Fowler的《Patterns of Enterprise Application Architecture》,相信看完这本书,对于分层思想的理解和分层中具体模式的运用决策都会有大幅提高。你会明白,原来分层不是只有“DAL”、“BLL”,原来分层还有怎么多内在的东西。

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opendaylight cookbook

OpenDaylight is a collaborative platform supported by leaders in the networking industry and hosted by the Linux foundation. The goal of the platform is to enable the adoption of software-defined networking (SDN) and create a solid base for network functions virtualization (NFV).

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Systems Performance Enterprise and the Cloud mobi

Systems Performance Enterprise and the Cloud 英文mobi 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

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Platform as a Service For Dummies, ® Special Edition

Welcome to Platform as a Service For Dummies, Special Edition. Cloud computing is becoming an integral part of many companies’ business and technology strategies. The implication of the adoption of the cloud means that the IT organization is looking to leverage the cloud as a mechanism to build, deploy, and manage applications that live in the cloud in the form of Platform as a Service (PaaS).

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Systems Performance:Enterprise and the Cloud

The accelerating deployment of large-scale web, cloud, Big Data, and virtualized computing systems has introduced serious new challenges in performance optimization. Until now, however, little reliable, practical information has been available to IT professionals who are responsible for running these systems efficiently and cost-effectively. Systems Performance: Enterprise and the Cloud is the solution. Internationally renowned performance optimization expert Brendan Gregg brings together state-of-the-art techniques and tools for analysis and tuning of large-scale web/cloud computing environments. Gregg focuses on Linux/Unix/Solaris performance issues, while offering proven methodologies and discussing key issues that apply to all enterprise operating systems. Coverage includes: Modern performance analysis and capacity planning, including key issues such as latency and dynamic tracing New performance and reliability challenges associated with cloud computing Methodology, concepts, terminology, tools, and metrics Key tradeoffs, including problems of load vs. architecture Tuning operating systems, CPUs, memory, file systems, disks, networks, and busses Tuning virtualized systems Programming language issues related to performance — including application profiling for C, C++, Java, and node.js Benchmarking strategies and pitfalls, including custom microbenchmarking

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Manning.Google.Cloud.Platform.in.Action.2018.8.pdf

Manning.Google.Cloud.Platform.in.Action.2018.8.pdf

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Computer Networking: A Top-Down Approach, 7th Global Edition

For courses in Networking/Communications Motivates readers with a top-down, layered approach to computer networking Unique among computer networking texts, the Seventh Edition of the popular Computer Networking: A Top Down Approach builds on the author’s long tradition of teaching this complex subject through a layered approach in a “top-down manner.” The text works its way from the application layer down toward the physical layer, motivating readers by exposing them to important concepts early in their study of networking. Focusing on the Internet and the fundamentally important issues of networking, this text provides an excellent foundation for readers interested in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. The Seventh Edition has been updated to reflect the most important and exciting recent advances in networking.

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Computer Networking -Top-Down- Approach 7th [pdf]

Computer Networking -Top-Down- Approach 7th [pdf] Computer Networking -Top-Down- Approach 7th [pdf] Computer Networking -Top-Down- Approach 7th [pdf]

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cloudnaas a cloud networking platform for enterprise application

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