cluster-computing

Redis cluster/ load balancing

爷,独闯天下 提交于 2019-12-02 17:26:23
问题 Redis doesnt support master master replication. In the redis tutorial I can see that there is a configuration , with 6 nodes, 3 master, 3 slaves, Can any one tell me what is the aim of this configuration(slaves are for fail-over , what is the purpose of 3 master ?) My requirement is to reduce number of connection made from the app server to Redis . so I was looking for a way where I can point to multiple redis nodes , so if I create a key from redis node 1, I can delete that key from Redis

Job Token file not found when running Hadoop wordcount example

牧云@^-^@ 提交于 2019-12-02 17:17:55
问题 I just installed Hadoop successfully on a small cluster. Now I'm trying to run the wordcount example but I'm getting this error: ****hdfs://localhost:54310/user/myname/test11 12/04/24 13:26:45 INFO input.FileInputFormat: Total input paths to process : 1 12/04/24 13:26:45 INFO mapred.JobClient: Running job: job_201204241257_0003 12/04/24 13:26:46 INFO mapred.JobClient: map 0% reduce 0% 12/04/24 13:26:50 INFO mapred.JobClient: Task Id : attempt_201204241257_0003_m_000002_0, Status : FAILED

Debugging Node.js processes with cluster.fork()

旧巷老猫 提交于 2019-12-02 17:14:36
I've got some code that looks very much like the sample in the Cluster documentation at http://nodejs.org/docs/v0.6.0/api/cluster.html , to wit: var cluster = require('cluster'); var server = require('./mycustomserver'); var numCPUs = require('os').cpus().length; if (cluster.isMaster) { var i; // Master process for (i = 0; i < numCPUs; i++) { cluster.fork(); } cluster.on('death', function (worker) { console.log('Worker ' + worker.pid + ' died'); }); } else { // Worker process server.createServer({port: 80}, function(err, result) { if (err) { throw err; } else { console.log('Thread listening on

How to show total number in same coordinate in R Programming

做~自己de王妃 提交于 2019-12-02 16:56:28
问题 (update 11/09/2017 question) this is my codes to cluster kmodes in R: library(klaR) setwd("D:/kmodes") data.to.cluster <- read.csv('kmodes.csv', header = TRUE, sep = ';') cluster.results <- kmodes(data.to.cluster[,2:5], 3, iter.max = 10, weighted = FALSE) plot(data.to.cluster[,2:5],col= cluster.results$cluster) the result is like this image : http://imgur.com/a/Y46yJ My sample data : https://drive.google.com/file/d/0B-Z58iD3By5wUzduOXUwUDh1OVU/view Is there a way to show total number in same

Cluster Shared Cache [closed]

与世无争的帅哥 提交于 2019-12-02 15:13:51
I am searching for a java framework that would allow me to share a cache between multiple JVMs. What I would need is something like Hazelcast but without the "distributed" part. I want to be able to add an item in the cache and have it automatically synced to the other "group member" cache. If possible, I'd like the cache to be sync'd via a reliable multicast (or something similar). I've looked at Shoal but sadly the "Distributed State Cache" seems like an insufficient implementation for my needs. I've looked at JBoss Cache but it seems a little overkill for what I need to do. I've looked at

What algorithms there are for failover in a distributed system?

空扰寡人 提交于 2019-12-02 14:12:48
I'm planning on making a distributed database system using a shared-nothing architecture and multiversion concurrency control . Redundancy will be achieved through asynchronous replication (it's allowed to lose some recent changes in case of a failure, as long as the data in the system remains consistent). For each database entry, one node has the master copy (only that node has write access to it), in addition to which one or more nodes have secondary copies of the entry for scalability and redundancy purposes (the secondary copies are read-only). When the master copy of an entry is updated,

Use qdel to delete all my jobs at once, not one at a time

不羁岁月 提交于 2019-12-02 14:09:46
This is a rather simple question but I haven't been able to find an answer. I have a large number of jobs running in a cluster (>20) and I'd like to delete them all and start over. According to this site I should be able to just do: qdel -u netid to get rid of them all, but in my case that returns: qdel: invalid option -- 'u' usage: qdel [{ -a | -c | -p | -t | -W delay | -m message}] [<JOBID>[<JOBID>]|'all'|'ALL']... -a -c, -m, -p, -t, and -W are mutually exclusive which obviously indicates that the command does not work. Just to check, I did: qstat -u <username> and I do get a list of all my

Difference between Clustering and Load balancing? [closed]

大憨熊 提交于 2019-12-02 14:08:11
What is the difference between Clustering and Load balancing ? I know it is a simple question.But I asked this question to several people, But no one gave reliable answer. Also I googled a lot and can't get an exact answer . Hope our Stack users will give the best answer for me. From Software journal blog an extract. Clustering has a formal meaning. A cluster is a group of resources that are trying to achieve a common objective, and are aware of one another. Clustering usually involves setting up the resources (servers usually) to exchange details on a particular channel (port) and keep

ZooKeeper alternatives? (cluster coordination service) [closed]

我怕爱的太早我们不能终老 提交于 2019-12-02 13:52:33
ZooKeeper is a highly available coordination service for data centers. It originated in the Hadoop project. One can implement locking, fail over, leader election, group membership and other coordination issues on top of it. Are there any alternatives to ZooKeeper? (free software of course) I've looked extensively at Zookeeper/ Curator , Eureka , etcd , and consul. Zookeeper/Curator and Eureka are in many ways the most polished and easiest to integrate if you are in the Java world. Etcd is pretty cool and very flexible, but It is really just a HA key store so you would have to write a lot of

How to show total number in same coordinate in R Programming

馋奶兔 提交于 2019-12-02 12:05:30
(update 11/09/2017 question) this is my codes to cluster kmodes in R: library(klaR) setwd("D:/kmodes") data.to.cluster <- read.csv('kmodes.csv', header = TRUE, sep = ';') cluster.results <- kmodes(data.to.cluster[,2:5], 3, iter.max = 10, weighted = FALSE) plot(data.to.cluster[,2:5],col= cluster.results$cluster) the result is like this image : http://imgur.com/a/Y46yJ My sample data : https://drive.google.com/file/d/0B-Z58iD3By5wUzduOXUwUDh1OVU/view Is there a way to show total number in same coordinate? I mean when clustering if there are many value which is same as 1,1 (x,y) could we make r