博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
Content Networking: Architecture, Protocols, and Practice
阅读量:4231 次
发布时间:2019-05-26

本文共 1439 字,大约阅读时间需要 4 分钟。

版权声明:原创作品,允许转载,转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。 - topmvp

As the Internet has grown, so have the challenges associated with delivering static, streaming, and dynamic content to end-users. This book is unique in that it addresses the topic of content networking exclusively and comprehensively, tracing the evolution from traditional web caching to today's open and vastly more flexible architecture. With this evolutionary approach, the authors emphasize the field's most persistent concepts, principles, and mechanisms--the core information that will help you understand why and how content delivery works today, and apply that knowledge in the future.

* Focuses on the principles that will give you a deep and timely understanding of content networking.
* Offers dozens of protocol-specific examples showing how real-life Content Networks are currently designed and implemented.
* Provides extensive consideration of Content Services, including both the Internet Content Adaptation Protocol (ICAP) and Open Pluggable Edge Services (OPES).
* Examines methods for supporting time-constrained media such as streaming audio and video and real-time media such as instant messages.
* Combines the vision and rigor of a prominent researcher with the practical experience of a seasoned development engineer to provide a unique combination of theoretical depth and practical application.
http://rapidshare.com/files/52574467/1558608346.zip
你可能感兴趣的文章
[linux] c 实现简单的web服务器
查看>>
栈--判断回文字符串
查看>>
Dijkstra算法--一个点到其余点最短路径
查看>>
解决 The `master` repo requires CocoaPods 1.0.0 - (currently using 0.39.0)
查看>>
gdb调试常用命令
查看>>
vim正则表达式批量修改文本
查看>>
objective-c init方法的写法
查看>>
极客公园 Mac 第三方客户端(swift)
查看>>
【Lintcode】寻找峰值
查看>>
Arduino 串口读写 SD 卡模块
查看>>
图的基本算法--深度优先搜索(dfs) 和 广度优先搜索(bfs)
查看>>
[Linux] Linux内核编译安装过程,及Linux源码目录结构
查看>>
[Linux] c语言变量的存储位置-笔记
查看>>
[Linux] 头文件实质-笔记
查看>>
统一修改iOS中xib颜色值
查看>>
数据湖与数据仓库的新未来:阿里提出湖仓一体架构
查看>>
基于 Flink+Iceberg 构建企业级实时数据湖 | 附 PPT 下载
查看>>
Flink 源码:Checkpoint 元数据详解
查看>>
基于Flink+ClickHouse打造轻量级点击流实时数仓
查看>>
Flink sink schema 字段设计小技巧
查看>>