书名：The Not So Short Introduction to LATEX2ε Or LATEX2ε in 141 minutes 这是目前所找到的一份关于Tex的参考手册，pdf格式 --------------------------------------------- LATEX [1] is a typesetting system that is very suitable for producing scien- tific and mathematical documents of high typographical quality. It is also suitable for producing all sorts of other documents, from simple letters to complete books. L ATEX uses TEX [2] as its formatting engine. This short introduction describes L ATEX2ε and should be sufficient for most applications of L ATEX. Refer to [1, 3] for a complete description of the L ATEX system. This introduction is split into 6 chapters: Chapter 1 tells you about the basic structure of L ATEX2ε documents. You will also learn a bit about the history of L ATEX. After reading this chapter, you should have a rough understanding how L ATEX works. Chapter 2 goes into the details of typesetting your documents. It explains most of the essential L ATEX commands and environments. After read- ing this chapter, you will be able to write your first documents. Chapter 3 explains how to typeset formulae with L ATEX. Many examples demonstrate how to use one of L ATEX’s main strengths. At the end of the chapter are tables listing all mathematical symbols available in L ATEX. Chapter 4 explains indexes, bibliography generation and inclusion of EPS graphics. It introduces creation of PDF documents with pdfL ATEX and presents some handy extension packages. Chapter 5 shows how to use L ATEX for creating graphics. Instead of draw- ing a picture with some graphics program, saving it to a file and then including it into L ATEX you describe the picture and have L ATEX draw it for you. Chapter 6 contains some potentially dangerous information about how to alter the standard document layout produced by L ATEX. It will tell you how to change things such that the beautiful output of L ATEX turns ugly or stunning, depending on your abilities.

Module 1 - Introduction to Distributed Systems Teaching.ppt Module 2 - Student Background Knowledge.ppt Module 3 - Nutch.ppt Module 4 - MapReduce Theory and Algorithms.ppt Module 5 - Hadoop Technical Review.ppt Module 6 - Distributed Filesystems.ppt Module 7 - Other Google Technologies.ppt

伯克利云计算白皮书（节选）  Michael Armbrust， Armando Fox，Rean Griffith，Anthony D. Joseph，Randy H. Katz， Andrew Konwinski，Gunho Lee，David A. Patterson，Ariel Rabkin，Ion Stoica，Matei Zaharia 加州大学伯克利分校 电子工程和计算机科学系  卢大勇[译] 上海超级计算中心 上海 201203 [email protected]  陆 琪[译] 惠普公司 上海 201203  姚继锋[校] 上海超级计算中心 上海 201203 译者按： “云计算”一词自出现以来，在产业界和学术界就掀起了波澜，众说纷纭，莫衷一是。在 一些人眼里（如Google、IBM），云计算是未来的方向、潮流和必然，他们迫不及待的拥抱云计 算；而在另外一些人眼里（如Oracle公司总裁Larry Ellison、GNU发起人Richard Stallman），云计 算只是又一个商业炒作的概念，毫无新意，甚至蠢不可及。在过去的一年中，已经有大量的关 于云计算的文章见诸博客、报纸、杂志和严肃的学术刊物。但本文无疑是迄今为止关于云计算 最重要的文章之一。 文章的作者是分布式计算领域最有影响力的研究团队之一，领衔者David A. Patterson是 计算 机界的权威，曾担任伯克利计算机系主任和美国ACM主席，本文是他们长达六个多月工作的结 果，详细解答了什么是云计算、和以前的模型如SaaS有什么不同、为什么现在是云计算发展的最 佳时机、云计算将创造什么新的机遇、有哪些挑战以及如何应对等一系列问题。

Above the Clouds: A Berkeley View of Cloud Computing Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia (Comments should be addressed to [email protected]) UC Berkeley Reliable Adaptive Distributed Systems Laboratory  http://radlab.cs.berkeley.edu/ February 10, 2009 KEYWORDS: Cloud Computing, Utility Computing, Internet Datacenters, Distributed System Economics 1 Executive Summary Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of th IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Developers with innovative ideas for new Internet services no longer require the large capital outlay in hardware to deploy their service or the human expense to operate it. They need not be concerned about over provisioning for a service whose popularity does not meet their predictions, thus wasting costly resources, or under provisioning for one that becomes wildly popular, thus missing potential customers and revenue. Moreover, companie with large batch-oriented tasks can get results as quickly as their programs can scale, since using 1000 servers for on hour costs no more than using one server for 1000 hours. This elasticity of resources, without paying a premium fo large scale, is unprecedented in the history of IT. Cloud Computing refers to both the applications delivered as services over the Internet and the hardware and systems software in the datacenters that provide those services. The services themselves have long been referred to a Software as a Service (SaaS). The datacenter hardware and software is what we will call a Cloud. When a Cloud i made available in a pay-as-you-go manner to the general public, we call it a Public Cloud; the service being sold i Utility Computing. We use the term Private Cloud to refer to internal datacenters of a business or other organization not made available to the general public. Thus, Cloud Computing is the sum of SaaS and Utility Computing, but doe not include Private Clouds. People can be users or providers of SaaS, or users or providers of Utility Computing. W focus on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SaaS Users. From a hardware point of view, three aspects are new in Cloud Computing. 1. The illusion of infinite computing resources available on demand, thereby eliminating the need for Cloud Com puting users to plan far ahead for provisioning. 2. The elimination of an up-front commitment by Cloud users, thereby allowing companies to start small and increase hardware resources only when there is an increase in their needs. 3. The ability to pay for use of computing resources on a short-term basis as needed (e.g., processors by the hou and storage by the day) and release them as needed, thereby rewarding conservation by letting machines and storage go when they are no longer useful.