distributed systems book

distributed computing. The study of consistency algorithms has not stopped since the 1980s. Notes: The Paxos algorithm is Leslie Lambert (Leslie Lamport, the "La" in LaTeX, which is now in Microsoft Research), which was presented in 1990 as a consistency algorithm based on message passing. Because the algorithm is difficult to understand at first did not attract people's attention, so that Lamport eight years later in 1998 to re-published to ACM Tran

. Exceptions that cannot be classified, such as high processing power, low processing power, and strange behavior. Even a small probability event increases the computing workload of millions, millions, or more every day. Replicas increase data redundancy and improve system availability. However, using replicas also results in costs for maintaining replicas. For example, if the replicas are consistent, multiple replicas may be inconsistent directly. Consistency level: Strong Consisten

IntroductionCAP is the most discussed theory in distributed systems, especially distributed storage, "What is the cap theorem?" "Ranking FAQs in the Quora Distributed Systems category. Cap in the programmer also has a broader popularity, it is not only "C, A, p can not meet

From http://duanple.blog.163.com/blog/static/709717672011330101333271/ I. Google papers 1. Google series of papers 2. the anatomy of a large-scale hypertextual Web Search Engine 3. Planet-oriented network search: Google cluster architecture 4. GFS: Google File System 5. mapreduce: simplied data processing on large clusters 6. bigtable: a distributed storage system for structured data 7. Chubby: The chubby lock service for loosely-coupled

Distributed File Systems, cluster file systems, and parallel file systems are easy to confuse. In fact, they are often used in different regions. Some people always ask about the differences and connections between the three. In fact, there are indeed overlapping concepts between them, but there are also significant di

First, the basic important points of distributed system: Provide stateless nodes externally, the internal implementation of state-specific or stateless node logic, the node can be provided services, can also be stored data. The Byzantine issue, used in distributed systems, is to ensure that the service is available, rather than finding the wrong node

nodes and ensure the dynamic balance of each node, so the processing speed is very fast. High fault tolerance. Hadoop can automatically save multiple copies of data and automatically reassign failed tasks. Low cost. Compared to data marts such as All-in-one, commercial data warehouses and Qlikview, Yonghong Z-suite, Hadoop is open source and the software cost of the project is greatly reduced. Hadoop has a framework written in the Java language, so it's ideal to run on a Linux production platfo

tolerance partition fault tolerancePartition fault tolerance means "the system continues to operate despite arbitrary message loss or failure of part of the system", that is, distributed systems encountering a node or network partition so Can still provide services that meet consistency and availability. partitioning is closely related to fault tolerance and extensibility .In

what is a distributed system。 Lamport is defined as: "If you have never heard of a computer crash causing you to do nothing, it means that you are dealing with a distributed system." A more general definition is that a distributed system is a combination of several independent computers that, for the user, are like a single related system.the most

Today to review: in-depth understanding of computer systems, writing technical articles in the belly of the ink other in too little, just write me read this book sentiment, long ago bought this book, but the revised version. At that time to look at that called a uncomfortable ah, the root of the heavenly book almost. T

Key points and key points of Distributed Systems Key Points of Distributed Systems A distributed system is a software system built on a network. It is precisely because of the characteristics of software that distributed

architecture. EJB is in accordance with Java Server interface-defined Java class, which can be understood as a special Java class, placed in the container can help the class management transactions, distributed, security, etc., generally small programs will not be used, only large distributed systems will be used EJB . Because the particles are small, they can b

Document directory Declarative statement Type Lookup Different types of systems are transparent Type checking This book is intended for personal learning and knowledge sharing. The copyright of this book is owned by the original author. If there is any infringement, please inform me that I will handle the post immediately. Reprinting is allowed, but this co

model. AP wihtout C: To be highly available and allow partitioning, you need to discard the consistency. Once a partition occurs, the nodes may lose contact, and in order to be highly available, each node can only serve with local data, which can result in inconsistencies in global data. Many of the NoSQL classes now fall into this category. For most large-scale Internet applications, the host is numerous, the deployment is scattered, and now the cluster size is increasing, so node fai

Extract: In a real-world production environment, the distributed systems of SAP Hana are common, because as data volumes expand, often single-machine sap HANA tends to become more and more strained, so it's necessary to build a distributed system that distracts query pressure and keeps SAP Hana high-speed. On the other hand, in the actual production environment,

descriptionAdvantages:(1) There is no need for large-scale users (like collaborative filtering) to get the relationship between items(2) Once the property of the item is obtained, the item can be recommended to the user immediately.3. Knowledge-based recommendationsIn some areas, such as the consumer electronics sector (e.g), the vast majority of data is a single purchase record. If you apply both of these methods, the data is too sparse to even get the recommended results. What if we have to r

Number 16th ... April 16. April 16, 1960 three o'clock in the afternoon a minute before you are with me, because of you I will remember this minute. From now on we are a minute friend, it is the fact that you can not change, because it has passed. I'll come back tomorrow. --The story of a punk Time in real life is a very important concept, time can record the time when things happen, compare the sequence of things happening. Some scenarios of distri