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  • SQL 2008 R2 Clustering options

    - by JacksOrBetter99
    I am looking to setup SQL 2008 R2 clustering on Windows Server 2008 R2. Can someone give me some options available for installing SQL Server clustering or best practices? I thought SQL had clustering built in, but after doing research, it looks like you first have to install Windows clustering and then install SQL on top of that.

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  • Python KMeans clustering words

    - by sadawd
    Dear Everyone I am interested to perform kmeans clustering on a list of words with the distance measure being Leveshtein. 1) I know there are a lot of frameworks out there, including scipy and orange that has a kmeans implementation. However they all require some sort of vector as the data which doesn't really fit me. 2) I need a good clustering implementation. I looked at python-clustering and realize that it doesn't a) return the sum of all the distance to each centroid, and b) it doesn't have any sort of iteration limit or cut off which ensures the quality of the clustering. python-clustering and the clustering algorithm on daniweb doesn't really work for me. Can someone find me a good lib? Google hasn't been my friend

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  • Tomcat Clustering and Load Balancing ?

    - by Rodrigo Asensio
    I have 3 tomcat servers where users get into all time. They are 3 because the processing of each request is heavy (lot of sql). Users enters to server 1 or 2 or 3. Now I want to make them "one". I know I need do clustering but, will clustering spread the requests thru the 3 servers or here is where I need implement load balancing with apache2 ?

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  • Clustering/load balancing for cluster unaware applications

    - by AaronLS
    Forgive me if I use any of these terms incorrectly. I am wondering if there is any kind of software that would allow my two "join" two computers together such that a cluster unaware application could utilize their combined computing resources? By "cluster unaware" I mean an application that isn't designed to share work across multiple services. My understanding is that clustering is enabled by the specific application by it's architecture, such that messaging with multiple instances of the application coordinate the sharing of work. Instead I am looking for something that enables clustering at the OS or virtualization level, so that any application could essentially be clustered. Failing that, I am also wondering about the following scenario: We have 3 different applications we will call A, B, and C. We have 2 single core computers. At any given time lets say that any combination of those applications will be CPU intensive. In cases where only 2 of those apps are very active, have one of them moved over to a different server. In a nutshell, some sort of dynamic automatic shuffling of the application's load. I have heard of virtual machines that can be migrated across physical machines while live, but I am wondering if this can be done automatically in response to an application's or VM's CPU activity?

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  • apache tomcat loadbalancing clustering on ubuntu

    - by user740010
    i am facing a problem in clustering the tomcat with apache as a loadbalancer using mod_jk on ubuntu. i have install apache2 on my ubuntu 11.04 and i have downloaded tomcat7 created two copies and kept them at two different location. 1st one is at /home/net4u/vishal/test/tomcatA 2nd one is at /home/net4u/vishal/test1/tomcatB i have made following changes to server.xml file in /conf folder 1. <Server port="8205" shutdown="SHUTDOWN"> 2. <Connector port="8280" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> 3.<Connector port="8209" protocol="AJP/1.3" redirectPort="8443" /> <Engine name="Catalina" defaultHost="localhost" jvmRoute="tomcatB"> 4. <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> similarly i have modified other tomcat i.e tomcatA server.xml content of the server.xml is as follow: -- <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 --> <Connector port="8280" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8109" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost" jvmRoute="tomcatB"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- uncomment for clustering--> <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> <!-- Use the LockOutRealm to prevent attempts to guess user passwords via a brute-force attack --> <Realm className="org.apache.catalina.realm.LockOutRealm"> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> </Realm> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html Note: The pattern used is equivalent to using pattern="common" --> <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="%h %l %u %t &quot;%r&quot; %s %b" resolveHosts="false"/> </Host> </Engine> i have install libapache2-mod-jk step 1. i have Created jk.load file in /etc/apache2/mods-enabled/jk.load content is as follows: LoadModule jk_module /usr/lib/apache2/modules/mod_jk.so Create /etc/apache2/mods-enabled/jk.conf: JkWorkersFile /etc/apache2/workers.properties JkLogFile /var/log/apache2/jk.log JkMount /ecommerce/* worker1 JkMount /images/* worker1 JkMount /content/* worker1 step 2. Created workers.properties file in /etc/apache2/workers.properties content is as follows: workers.tomcat_home=/home/vishal/Desktop/test/tomcatA workers.java_home=/usr/lib/jvm/default-java ps=/ worker.list=tomcatA,tomcatB,loadbalancer   worker.tomcatA.port=8109 worker.tomcatA.host=localhost worker.tomcatA.type=ajp13 worker.tomcatA.lbfactor=1   worker.tomcatB.port=8209 worker.tomcatB.host=localhost worker.tomcatB.type=ajp13 worker.tomcatB.lbfactor=1 worker.loadbalancer.type=lb worker.loadbalancer.balanced_workers=tomcatA,tomcatB worker.loadbalancer.sticky_session=1 i tried the same thing on the windows machine it is working.

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  • how does data clustering help in image or pattern recognition

    - by anon
    I have been playing around with different data clustering algorithms working on finding clusters between random data points represented an nodes, I keep reading that data clustering is used for image recognition. I am failing to make the connection, how does clustering data help in recognizing an image or in facial recognition. can someone explain this?

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  • Clustering [assessment] algorithm with distance matrix as an input

    - by Max
    Can anyone suggest some clustering algorithm which can work with distance matrix as an input? Or the algorithm which can assess the "goodness" of the clustering also based on the distance matrix? At this moment I'm using a modification of Kruskal's algorithm (http://en.wikipedia.org/wiki/Kruskal%27s_algorithm) to split data into two clusters. It has a problem though. When the data has no distinct clusters the algorithm will still create two clusters with one cluster containing one element and the other containing all the rest. In this case I would rather have one cluster containing all the elements and another one which is empty. Are there any algorithms which are capable of doing this type of clustering? Are there any algorithms which can estimate how well the clustering was done or even better how many clusters are there in the data? The algorithms should work only with distance(similarity) matrices as an input.

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  • Implementing a Linux-HA based clustering setup on Windows

    - by Alex
    I have a (tried and tested) setup involving: 2x Load balancing nodes on a floating IP via Heartbeat, load balancing 2 tomcat servers. 2x Tomcat servers 2x Galera Cluster MySQL servers synchronously replicating (+1 arbitrator node) All are evenly spread across 2 physical nodes. Now, I have to somehow get the same functionality on Windows Server (2008? I think) nodes .... running under Xen virtualization. There is no possibility to use Linux for any of the nodes. I count two main problems: No Linux-HA hearbeat daemon for the load balancing No Galera synchronous replication for MySQL I freely admit to having nearly no Windows knowledge when it comes to clustering. Is there a way to closely mimic the setup I have described or is it a total write-off?

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  • Getting started with webserver clustering.

    - by Ernie
    I work for a small ISP, and we host about 250 domains and all the stuff that goes along with that: DNS, mail, spam filtering, and backups. Currently, we have separate DNS servers (two of them) and mail servers (outgoing mail is actually on the secondary DNS server, but was previously on its own server). In the past, this was done as an insurance measure. The last thing we need is for some doofus (usually yours truly) to hose a server, taking out DNS and mail right along with it, or for spammers to jam our incoming SMTP server, preventing outgoing mail from being sent too. In the past, this was a problem, and our servers were set up the way they are now to combat it. However, clustering solutions like Sun's Cobalt RAQ (in days of olde) and Virtualmin appear to cater to an all-in-one approach, then deal with failures through redundant servers. I have avoided this thus far, but we've been using Virtualmin on our web server for a while now, and I'd like to expand into using it for a high availability cluster. Our networking partner has recently built a datacenter that has eliminated all of our other bugaboos like network, cooling, and power issues, so now the only thing left to go wrong is me hosing a server, which happened earlier this month. One of the bigger reasons we've avoided going this route is because our hardware requirements aren't particularly high. One server easily handles all the sites we host (most of them are flat sites). Also, load-balancing routers tend to be expensive and complicated. All that I'm really expecting to do is building a two-node cluster for redundancy so that when I hose a server (however rare that might be), we're not out for 8-12 hours while I rebuild it. What I need to know is how to get started, and if I'm really in a position to bother with this kind of thing at all.

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  • Reordering matrix elements to reflect column and row clustering in naiive python

    - by bgbg
    Hello, I'm looking for a way to perform clustering separately on matrix rows and than on its columns, reorder the data in the matrix to reflect the clustering and putting it all together. The clustering problem is easily solvable, so is the dendrogram creation (for example in this blog or in "Programming collective intelligence"). However, how to reorder the data remains unclear for me. Eventually, I'm looking for a way of creating graphs similar to the one below using naive Python (with any "standard" library such as numpy, matplotlib etc, but without using R or other external tools).

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  • plotting results of hierarchical clustering ontop of a matrix of data in python

    - by user248237
    How can I plot a dendrogram right on top of a matrix of values, reordered appropriately to reflect the clustering, in Python? An example is in the bottom of the following figure: http://www.coriell.org/images/microarray.gif I use scipy.cluster.dendrogram to make my dendrogram and perform hierarchical clustering on a matrix of data. How can I then plot the data as a matrix where the rows have been reordered to reflect a clustering induced by the cutting the dendrogram at a particular threshold, and have the dendrogram plotted alongside the matrix? I know how to plot the dendrogram in scipy, but not how to plot the intensity matrix of data with the right scale bar next to it. Any help on this would be greatly appreciated.

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  • Clustering and DB Replication in virtualized (and cloud) environments

    - by devdude
    Both replication and clustering are terms for servers setups with physical (real) servers, usually implemented on a DB or AS level. Now the question: In a virtualized environment with "easy" scalable servers (touching clustering) and a higher availability (DB replication) through the means of high availability of the virtual server by the cloudserver provider, do we really need replication and clustering (as in covering the problems of traditional servers) ? Question is asked from a soultion/application provider viewpoint. Please exclude the need of replication with a business requirement background, eg. the need to replicate a DB at 2 different geographical locations to ensure performance and data. Thanks for your insights !

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  • hierarchical clustering on correlations in Python scipy/numpy?

    - by user248237
    How can I run hierarchical clustering on a correlation matrix in scipy/numpy? I have a matrix of 100 rows by 9 columns, and I'd like to hierarchically clustering by correlations of each entry across the 9 conditions. I'd like to use 1-pearson correlation as the distances for clustering. Assuming I have a numpy array "X" that contains the 100 x 9 matrix, how can I do this? I tried using hcluster, based on this example: Y=pdist(X, 'seuclidean') Z=linkage(Y, 'single') dendrogram(Z, color_threshold=0) however, pdist is not what I want since that's euclidean distance. Any ideas? thanks.

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  • How to calculate a measure of a total error in this clustering

    - by Vafello
    I have the following points and clustering of data S1. Can anyone tell me how to calculate the total error associated with this clustering? I know it's not a strictly programming question, but I need it for my algorithm. I think the answer should be 4/3 but I have no idea how to calculate this. Can anyone help me? x1= (2.0,1.0) x2= (2.0,2.0) x3= (1.0,2.0) S1={ x1, x2, x3 }

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  • Apache Derby master/slave replication and clustering

    - by Luke
    I'm interested in the possibilities of master/slave replication for Derby in client/server mode (if at all possible). However, I'm unable to find any material that either explains it in a decent fashion or is able to convince me that master/slave replication doesn't exist for Derby. Any pointers to decent reading material are very much appreciated.

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  • Server Clustering (Django, Apache, Nginx, Postgres)

    - by system-matrix
    I have a project deployed with django, Apache, Nginx and Postgres. The project has requirement of live data viewable to customers. The projects main points are: 1. Devices in field send data to server(devices are also like website users) after login. 2. There is background import process which imports the uploaded data in postgres. 3. The webusers of the system use this data and can send commands to the devices, which devices read when they login. 4. There are also background analysis routines running on the data. All the above mentioned setup and system is deployed on one amazon EC2 cloud machine. The project currently supports over 600 devices and 400 users. But as the number of devices are increasing with time the performance of the server is going down. We want to extend this project so that it can support more and more devices. My initial thinking is, We will create one more server like current one and divide the devices amongst these to servers. But Again We need a central user and device managment point though django admin. Any Ideas? What are the best possible ways to create a scalable architecture? How can I create a Postgres Cluster and Use it with Django, if possible?

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  • Add second ip address to an existing SQl 2008 failover clustering

    - by Cédric Boivin
    Hello, I got actually a failover cluster on Windows Server 2008, with sql server 2008. On each server i got two network card, with two different network one are on 10.10.10.x and other are on 192.168.99.x I want my sqlserver cluster listen on the two network. Is it possible and how i add new ip address. When i add a new ip address directly in the cluster, and i do a telnet on the 1433 port with the new cluster ip address it's not working. Thanks

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  • KMeans clustering for more than 5 million vectors

    - by Wajih
    I have hit a real problem. I need to do some Kmeans clustering for 5 million vectors, each containing about 32 cols. I tried out Mahout which requires linux and I am on windows, I am restrained from using a Linux OS and any sort of simulator. Can anyone suggest a KMeans clustering algorithm that is scalable upto 5M vectors and can converge quickly? I have tested a few but they wont scale. Which means they are slow and take forever to complete. Thanks

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  • New Whitepaper: Oracle WebLogic Clustering

    - by ACShorten
    A new whitepaper is available that outlines the concepts and steps on implementing web application server clustering using the Oracle Utilities Application Framework and Oracle WebLogic Server. The whitepaper include the following: A short discussion on the concepts of clustering How to setup a cluster using Oracle WebLogic's utilities How to configure the Oracle Utilities Application Framework to take advantage of clustering How to deploy the Oracle Utilities Application based products in a clustered environment Common cluster operations The whitepaper is available from My Oracle Support at Doc Id: 1334558.1.

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  • SQL Server 2008 Spatial Clustering

    - by illvm
    I am trying to group points of geospatial data based on density and relative distance. Is there a way that this can be done in SQL Server 2008 using the spatial features or would it be better to translate the data into graph data and use a graph clustering algorithm?

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