distributed systems concepts and design

Nowadays, the design model has lost some attention and popularity compared with the previous two years. People have been focusing on revolutionary high-tech products and technologies, such as iPhone, iPad, cloud computing, cloud platforms, and HTML5. However, I believe that, no matter how time changes, software design ideas will always be inherited and carried forward over time. Many of the experiences in

This project is also a first glimpse into the Python crawler project, is also my graduation design, at that time, found that most people choose is the site class, it is common but, are some simple additions and deletions, business class to feel a very common system design, at that time also just in the know to see an answer , how do you use computer technology to solve the practical problems of life, links

% and maximizing their applicability. 　8 interfaces: Jin Ke Yulu As a result of Interface Design Research, Ben Shneiderman proposed and collected some principles inspired by experience and applied to most interactive systems. These principles apply to user interface design and webpage design. 1. Strive for consistency

designed to be suitable for distributed file systems running on common hardware (commodity hardware). It has a lot in common with existing Distributed file systems. But at the same time, the difference between it and other distributed file

I. Introduction of Distributed System Infrastructure1. Distributed collaboration and configuration management system zookeeper2. Distributed Cache SystemDistributed cache is mainly used in high concurrency environment to reduce the pressure of database, improve the response speed and concurrent throughput of the system. When a large number of read and write reque

The following is a typical example of a large system. Before discussing the design principles, we must first clarify the fact: In a software project team, when discussing project design, everyone has their own design philosophy. These design concepts are generally re

This article will try to explain the design concept of Kafka from the following two aspects: Kafka design background and causes Design Features of Kafka Kafka design background and causes Kafka was initially designed by LinkedIn to process activity stream data and operaitonal data ). Activity stream data is

, there are some similar partitioning operations, but when using partitions, it is not easy to partition data on a database, because the data is now split into different database instances, even on different servers, at this time , we need to consider some of the distributed scenarios, as follows:So far, some concepts of distributed partitioned views have been sa

This project is also a first glimpse into the Python crawler project, is also my graduation design, at that time, found that most people choose is the site class, it is common but, are some simple additions and deletions, business class to feel a very common system design, at that time also just in the know to see an answer , how do you use computer technology to solve the practical problems of life, links

1. Introduction Hadoop Distributed File System (HDFS) is a distributed file system designed for use on common hardware devices. It is similar to the existing distributed file system, but it is quite different from these file systems. HDFS is highly fault tolerant and designed to be deployed on inexpensive hardware. HDF

-replication Cluster balancing Data Integrity Metadata disk error Snapshots Data Organization Data Block Staging Assembly line Replication Accessibility DFSShell DFSAdmin Browser Interface Reclaim buckets File Deletion and recovery Reduce copy Coefficient References Introduction Hadoop Distributed File System (HDFS)Is designed as a distributed f

information content, zookeeper still calls back and the callback of zookeeper is relatively dull, it can only be used once. If the information keeps changing, you must register watch again. The fourinone event processing can freely control whether to continuously respond to information changes.3. The leader election mechanism is too limited. The cluster has only two nodes, and zookeeper cannot be elected as the leader. zookeeper's leader election must be subject to odd node odd restrictions. In

A large system in every aspect of the most easily performance and usability problems are often the database, so distributed design and development of an important area is how to make the data layer scalable, database expansion into scale up and scale out, and scale The up is done by upgrading the server configuration, so it is not considered within the distributed