Ganglia Software

Ganglia monitoring software is mainly used to monitor the performance of the software, such as: CPU, MEM, hard disk utilization, I/O load, network traffic, etc., through the curve is very easy to see the work of each node, the reasonable adjustment, distribution system resources, improve the overall performance of the system plays an important role. Support browser access, but can not monitor node hardware specifications, ganglia is a distributed monitoring system, there are two Daemon, respectively: Client ganglia monitoring Daemon (Gmond ...

Six open source monitoring tools which one did you use? Published in 2013-03-15 12:22| Times Read | SOURCE csdn| 0 Reviews | The author Zhang Hong Month open source Monitoring Tool Muningangliagraphitepingdom Summary: This article introduced 6 practical monitoring tools, not only can you monitor the network resources, but also monitor the server, user requests, Web performance, etc., to your site to provide comprehensive,  One-stop guidance and monitoring. If you think the site is built, it's all right.

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

Dell 25th announced the launch of the Dell Hadoop solution based on the Intel Hadoop release, Dell PowerEdge Cloud Server and network architecture to further strengthen its next generation computing solution to provide customers with one-stop large data solutions. Dell Hadoop solution provides customers with optimized hardware and software configuration recommendations, simple and fast implementation of deployment services, and overall professional service support to ensure high availability and stability of the enterprise Hadoop environment. The collaboration between Dell and Intel has pushed the development of the big data age. Close to Customer soft ...

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

The most important reason to choose Hadoop is that three points: 1, can solve the problem, 2, low cost, 3, mature ecological circle. 　　One, Hadoop helps us solve what problems both domestic and foreign large companies have an insatiable thirst for data, and will do everything they can to collect all the data, because the asymmetry of information is constantly being made available, and a great deal of information can be obtained through data analysis. The source of the data is very much, the data format is more and more complex, over time data ...

Currently, the Hadoop distribution has an open source version of Apache and a Hortonworks distribution (HDP Hadoop), MapR Hadoop, and so on. All of these distributions are based on Apache Hadoop.

Design and implementation of recommendation system based on Hadoop Tangjin The main work contents are as follows: 1. Based on the research of the running mechanism of Hadoop and the principle of MapReduce programming, combined with recommendation system and recommendation algorithm, especially the network recommendation algorithm represented by the material diffusion recommendation algorithm and the heat conduction recommendation algorithm, the paper designs and realizes the MapReduce programming scheme of network recommendation algorithm, The complex computing task of this algorithm is decomposed into a series of mapreduce operation Flow, ...