cluster-computing

What is the difference between Cloud, Grid and Cluster? [closed]

由 跟風遠走 提交于 2019-11-28 13:38:08
问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . What is the difference between Cloud, Cluster and Grid? Please give some examples of each as the definition of cloud is very broad. As

Database cluster and load balancing

由 不打扰是莪最后的温柔 提交于 2019-11-28 13:17:14
问题 What is database clustering? If you allow the same database to be on 2 different servers how do they keep the data between synchronized. And how does this differ from load balancing from a database server perspective? 回答1: Database clustering is a bit of an ambiguous term, some vendors consider a cluster having two or more servers share the same storage, some others call a cluster a set of replicated servers. Replication defines the method by which a set of servers remain synchronized without

Clustered Singleton using Wildfly?

由 隐身守侯 提交于 2019-11-28 12:52:24
I'm trying to create a simple clustered Singleton on Wildfly 8.2. I've configured 2 Wildfly instances, running in a standalone clustered configuration. My app is deployed to both, and I'm able to access it with no problem. My clustered EJB looks like this: @Named @Clustered @Singleton public class PeekPokeEJB implements PeekPoke { /** * Logger for this class */ private static final Logger logger = Logger .getLogger(PeekPokeEJB.class); private static final long serialVersionUID = 2332663907180293111L; private int value = -1; @Override public void poke() { if (logger.isDebugEnabled()) { logger

In node.js, how to declare a shared variable that can be initialized by master process and accessed by worker processes?

由 扶醉桌前 提交于 2019-11-28 11:55:13
I want the following During startup, the master process loads a large table from file and saves it into a shared variable. The table has 9 columns and 12 million rows, 432MB in size. The worker processes run HTTP server, accepting real-time queries against the large table. Here is my code, which obviously does not achieve my goal. var my_shared_var; var cluster = require('cluster'); var numCPUs = require('os').cpus().length; if (cluster.isMaster) { // Load a large table from file and save it into my_shared_var, // hoping the worker processes can access to this shared variable, // so that the

Using a loop variable in a Bash script to pass different command-line arguments

由 匆匆过客 提交于 2019-11-28 11:01:29
问题 I have a C++ program to which I pass two doubles as inputs from the command line using int main(int argc, char *argv[]){ double a,b; a = atof(argv[1]); b = atof(argv[2]); further code..... I run the code on a cluster using the qsub utility and I have a Bash script named 'jobsub.sh` to submit the jobs which looks like this: #!/bin/csh -f hostname cd /home/roy/codes/3D # Change directory first -- replace Mysubdir set startdir = `pwd` # Remember the directory we're in if( ! -d /scratch/$USER )

Cluster Failover

由 十年热恋 提交于 2019-11-28 09:45:37
问题 I know I'm asking something very obvious about cluster failover. I read on redis.io that, if any master cluster node fails it will affect to other master nodes until slave come to take in charge. In my structure, I'm not defining any slave and just working with 3 masters. I'm thinking to modify the redis-trib.rb file, which will remove the defected server and will start the cluster with other 2 nodes. I'm confused about a couple of things, 1) Resharding Could not possible until failed server

What's the meaning of “Locality Level”on Spark cluster

由 寵の児 提交于 2019-11-28 04:06:40
What's the meaning of the title "Locality Level" and the 5 status Data local --> process local --> node local --> rack local --> Any? The locality level as far as I know indicates which type of access to data has been performed. When a node finishes all its work and its CPU become idle, Spark may decide to start other pending task that require obtaining data from other places. So ideally, all your tasks should be process local as it is associated with lower data access latency. You can configure the wait time before moving to other locality levels using: spark.locality.wait More information

setting up cassandra multi node cluster on a single ubuntu server

由 ℡╲_俬逩灬. 提交于 2019-11-27 21:42:53
I have a Cassandra Service running on my Ubuntu Server with a single node now. I want to make it into a ring cluster with 3 nodes to get a feel of multinode cluster all being on the same server. By following the steps in this link https://www.youtube.com/watch?v=oHMJrhMtv3c , I tried to create a fresh cluster without stopping the already running cassandra service. But it has thrown address Caused by: java.net.BindException: Address already in use. So i tried changing the seeds ip to already running cassandra ip address and tried to run a second cassandra service in the foreground. This time it

My Spark's Worker cannot connect Master.Something wrong with Akka?

由 穿精又带淫゛_ 提交于 2019-11-27 21:42:16
问题 I want to install Spark Standlone mode to a Cluster with my two virtual machines. With the version of spark-0.9.1-bin-hadoop1, I execute spark-shell successfully in each vm. I follow the offical document to make one vm(ip:xx.xx.xx.223) as both Master and Worker and to make the other(ip:xx.xx.xx.224) as Worker only. But the 224-ip vm cannot connect the 223-ip vm. Followed is 223(Master)'s master log: [@tc-52-223 logs]# tail -100f spark-root-org.apache.spark.deploy.master.Master-1-tc-52-223.out

HDFS Home Directory

由 ♀尐吖头ヾ 提交于 2019-11-27 19:25:22
问题 I have setup a single node multi-user hadoop cluster. In my cluster, there is an admin user that is responsible for running the cluster (superuser). All other users are allocated a hdfs directory like /home/xyz where xyz is a username. In unix, we can change the default home directory for a user in /etc/passwd. And by default, landing directory for a user is the home directory. How do I do it in hadoop for hdfs file system. I want for example, if user types: $hadoop dfs -ls on the unix prompt
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