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• Cluster-aware client app (to SQL Server)

  - by Mikael Sundberg

  Hello, We have an .NET client app working against SQL Server 2005 (clustered), do I need to do something special in the client app to make it cluster aware? Thanks.

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• Utilizing 5 physical servers in 1 cluster

  - by Vijay Gharge

  Hi all, I have 5 physical servers with low end memory & cpu resources. I want to create 1 cluster using all these servers and want to run mysql db on the same such that mysql db would utilize 5 server's CPU power to execute db queries & same for memory. Could you please help me understanding how to achieve this? Regards,

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• Member Status: Inquorate in RHEL 5.6

  - by Eugene S

  I've encountered a strange issue. I had to change the time on my Linux RHEL cluster system. I've done it using the following command from the root user: date +%T -s "10:13:13" After doing this, some message appeared relating to <emerg> #1: Quorum Dissolved (however I didn't capture the message completely). In order to investigate the issue I looked at /var/log/messages and I've discovered these errors. Below is the output of few commands I got when tried to investigate the issue, however I don't have enough knowledge to make use of this information. [root@system1a ~]# clustat Cluster Status for system4081 @ Sun Mar 25 11:45:48 2012 Member Status: Inquorate Member Name ID Status ------ ---- ---- ------ chb_sys1a 1 Online, Local chb_sys2a 2 Offline [root@system1a ~]# cman_tool nodes Node Sts Inc Joined Name 1 M 872 2012-03-25 08:43:07 chb_sys1a 2 X 0 chb_sys2a [root@system1a ~]# qdiskd -f -d [17654] debug: Loading configuration information [17654] debug: 0 heuristics loaded [17654] debug: Quorum Daemon: 0 heuristics, 1 interval, 10 tko, 0 votes [17654] debug: Run Flags: 00000035 [17654] info: Quorum Daemon Initializing stat: Bad address [17654] crit: Initialization failed I tried to search through the internet and found out a quite similar issue here. However, for some reason I am not able to access the bug on bugzilla. The link to the bug is here

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• Is there a DRMAA Java library that works with Torque/PBS?

  - by dondondon

  Does anybody know a Java implementation of the DRMAA-API that is known to work with PBS/Torque cluster software? The background behind this: I would like to submit jobs to a newly set-up linux cluster from java using a DRMAA compliant API. The cluster is managed by PBS/Torque. Torque includes PBS DRMAA 1.0 library for Torque/PBS that contains a DRMA-C binding and provides in libdrmaa.so and .a binaries. I know that Sun grid engine includes a drmaa.jar providing a Java-DRMAA API. In fact I opted to use SGE but it was decided to try PBS first. The theory behind that decision was: 'DRMAA is a standard and therefore a Java API needs only a standards compliant drmaa-c binding.' However, I couldn't find such 'general DRMAA-C-java API' and now assume that this assumption is wrong and that the Java libraries are engine specific. Are we stuck here? Any comments appreciated.

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• running Hadoop software on office computers (when they are idle)

  - by Shahbaz

  Is there a project which helps setup a Hadoop cluster on office desktops, when they are idle? I'd like to experiment with Hadoop/MR/hbase but don't have acces to 5-10 computers. The computers at work are idle after hours and are connected to each other through a very high speed connection. What's more, data on these computers stays within our network so there is no privacy issue. In order for this to work I need a fairly light weight monitor running on each machine. When the computer has been idle for X hours, it will join the cluster. If the user logs on, it has to drop out of the cluster and return all CPU/memory back. Does something like this exist?

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• qsub: How can I find out what DRM middleware exactly is installed on a cluster?

  - by gojira

  I have a user account on a very big cluster. I have previous experience with Grid Engine and want to use the cluster for array jobs. The documentation tells me to use "qsub" for load balancing / submission of many jobs. Therefore I assumed this means the cluster has Grid Engine. However all my Grid Engine scripts failed to run. I checked the documentation and it is a bit weird. Now I slowly suspect that this cluster does not actually have Grid Engine, maybe it's running something called Torque (?!). The whole terminology in the man pages is a bit weird for me as a Grid Engine user, for example they talk about "bulk jobs" instead of "array jobs". There is no referral to variables on which I rely on, like SGE_TASK_ID etc. Instead they refer to variables starting with PBS_. Still, there are qsub and qstat commands. Also qsub behaves differently, apparently it is not possible to specifiy the command line parameters with bash-script comments etc. There is a documentation for the cluster system, but it does not say what the DRM middleware actually is - it refers to the entire DRM system simply as "qsub". I tried qsub --version qsub: 1.2 2010/8/17 I am not sure what I am actually running when I invoke qsub on that cluster! My question is, how can I find out if I am running Grid Engine or Torque (or whatever it is), and which version?

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• Dendrogram generated by scipy-cluster does not show

  - by Space_C0wb0y

  I am using scipy-cluster to generate a hierarchical clustering on some data. As a final step of the application, I call the dendrogram function to plot the clustering. I am running on Mac OS X Snow Leopard using the built-in Python 2.6.1 and this matplotlib package. The program runs fine, but at the end the Rocket Ship icon (as I understand, this is the launcher for GUI applications in python) shows up and vanishes immediately without doing anything. Nothing is shown. If I add a 'raw_input' after the call, it just bounces up and down in the dock forever. If I run a simple sample application for matplotlib from the terminal it runs fine. Does anyone have any experiences on this?

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• Debugging 500 Internal Server Error on PHP running on IIS7 cluster

  - by Matthijs P

  Recently my ISP switched our website to an IIS7.0 high availibility cluster. The website is running on PHP5.2.1 and I can only upload files (so no registry tweaks). I had tested the website before and everything seemed to be working, but now the checkout page fails with: 500 - Internal server error. There is a problem with the resource you are looking for, and it cannot be displayed. As error messages go, this isn't very informative. I've tried: ini_set('display_errors', 1); ini_set('error_log', $file_php_can_write_to ); but both don't seem to do anything. Anyone know how to get better debugging output?

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• Execute Oracle RAC cluster commands via Solaris RBAC?

  - by David Citron

  Executing Oracle RAC cluster management commands such as $ORA_CRS_HOME/bin/crs_start requires root permissions. Using Solaris RBAC (Role-Based Access Control), one can give a non-root user permissions to execute those commands, but the commands still fail internally. Example: $pfexec /opt/11.1.0/crs/bin/crs_stop SomeArg CRS-0259: Owner of the resource does not belong to the group. Is there a complete RBAC solution for Oracle RAC or does the executor need to be root? EDIT: Note that my original /etc/security/exec_attr contained: MyProfile:suser:cmd:::/opt/11.1.0/crs/bin/crs_start:uid=0 MyProfile:suser:cmd:::/opt/11.1.0/crs/bin/crs_start.bin:uid=0 As Martin suggests below, this needed to be changed to add gid=0 as: MyProfile:suser:cmd:::/opt/11.1.0/crs/bin/crs_start:uid=0;gid=0 MyProfile:suser:cmd:::/opt/11.1.0/crs/bin/crs_start.bin:uid=0;gid=0

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• Cluster analysis on two columns that contain name of person in R

  - by Alka Shah

  I am a beginner in R. I have to do cluster analysis in data that contains two columns with name of persons. I converted it in data frame but it is character type. To use dist() function the data frame must be numeric. example of my data: Interviewed.Type interviewed.Relation.Type 1. An1 Xuan 2. An2 The 3. An3 Ngoc 4. Bui Thi 5. ANT feed 7. Bach Thi 8. Gian1 Thi 9. Lan5 Thi . . . 1100. Xung Van I will be grateful for your help.

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• Scaling Java applications - existing cluster-aware IoC frameworks?

  - by Zoltan

  Most people use some kind of an IoC framework - Guice, Spring, you name it. Many of us need to scale their applications too, so they complicate their lifes with Terracotta, Glassfish/JBoss/insertyourfavouritehere clusters. But is it really the way to go? Are you using any of the above? Here's some ideas we currently have implemented in a yet-to-be-opensourced framework, and I'd like to see what you think of it, or maybe "it's a complete ripoff of XY!". cluster-wide object replication - give it a name, and whenever you do something (in any node) on such an object, it will get replicated - with different guarantees do transparent soft-loadbalancing - simplest scenario: restful webservice method call proxied to an other node view-only node injection: inject a proxy to a "named" object, and get your calls automatically proxied to a node Would you use something like that? Is there a current, stable, enterprise-ready implementation out there?

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• memcached cluster maintenance

  - by Yang

  Scaling up memcached to a cluster of shards/partitions requires either distributed routing/partition table maintenance or centralized proxying (and other stuff like detecting failures). What are the popular/typical approaches/systems here? There's software like libketama, which provides consistent hashing, but this is just a client-side library that reacts to messages about node arrivals/departures---do most users just run something like this, plus separate monitoring nodes that, on detecting failures, notify all the libketamas of the departure? I imagine something like this might be sufficient since typical use of memcached as a soft-state cache doesn't require careful attention to consistency, but I'm curious what people do.

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• How to JNDI lookup from cluster 1 : a queue that exists in cluster 2 in Websphere 6?

  - by user347394

  I have a Websphere topology wherein in Cluster1, I have an MDB that's trying to publish to another MDB that resides in Cluster2. Since they're both in the same container, I tried simply Blockquote Context ctx = new InitialContext(); ctx.lookup("jms/MyQueue"); Blockquote The "jms/MyQueue" is configured in Cluster2. As you can see, this doesn't work!! 1) Do I have to provide an environment entry while creating the InitialContext? Even though both clusters are part of the same container? 2) If not, how then can I lookup the said queue in Cluster 2?

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• How to deploy updates to .NET website in cluster

  - by royappa

  We are operating a corporate web application on a load-balanced cluster that consists of two identical IIS servers talking to a single MSSQL database. To deploy updates I am using this primitive process: 1) Make a copy of the entire site folder (wwwroot\inetpub\whatever) on each IIS box 2) Download the updated, compiled files onto each IIS box from our development area 3) Shut down IIS both web servers 4) Copy the new and updated files into the wwwroot folder (overwriting any same files) 5) Then restart IIS on both machines When there are database changes involved there are a few other steps. The whole process is fairly quick but it is ugly and fraught with danger, so it has to be done with full concentration. I would like to just push one button to make it all happen. And I want a one-click rollback in case there is a problem (that's the reason I make the copy in step #1). I am looking for tools to manage and improve this process. If it also helped us maintain a changelog, that would be nice. Thanks.

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• Multi-Boot through IPMI possible?

  - by yoursort

  Hi, I want to setup a cluster. On each machine Windows XP and Linux should be installed and the OS should be selectable by a boat loader (e.g. grub). All machines have IPMI cards. Is it possible when starting the machines over IPMI to also select the OS to boot? And how? Thanks!

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• What is the differences between a Remote File Share Witness Quorum and a Disk Witness Quorum?

  - by arex1337

  Say you set up a Windows Server Failover Cluster consisting of two nodes, on Windows Server 2008 R2 Enterprise. Now when you want to configure quorum you can use either a remote shared folder, or a shared disk (unless your nodes are separated geographically). I'd love to know more about when to use a disk witness and when to use a file share witness. What are the differences? Does it matter at all?

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• protecting an application against hardware failure [on hold]

  - by alex

  I have an application for which I am looking for a way to protect against hardware and software (operating system ) failure. Cluster seems OK but the storage become the single point of failure and also I do not have a SAN. Can you please tell me if there are other ways to protect the application? Periodically this application is updated and changes should be replicated automatically to the second server.

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• Windows DFS File System Clustering

  - by tearman

  We're attempted to set up a high availability network for our file servers, and we're wanting to do a DFS file system cluster using the same back-end storage (our back-end storage has its own clustering mechanisms that it manages itself). The question being, A. how would one go about setting up DFS clustering, and B. how can we get Windows to cooperate with multiple servers accessing the same SAN volumes?

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• Moving a single Windows 2008 box to a clustered implementation?

  - by chris

  I have a system that currently runs on a single box, Windows 2008 Enterprise. This is just used as a web server. What is involved in creating a cluster? Basically doing this for availability reasons - the load on the system will be pretty light.

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• Azure Grid Computing - Worker Roles as HPC Compute Nodes

  - by JoshReuben

  Overview ·        With HPC 2008 R2 SP1 You can add Azure worker roles as compute nodes in a local Windows HPC Server cluster. ·        The subscription for Windows Azure like any other Azure Service - charged for the time that the role instances are available, as well as for the compute and storage services that are used on the nodes. ·        Win-Win ? - Azure charges the computer hour cost (according to vm size) amortized over a month – so you save on purchasing compute node hardware. Microsoft wins because you need to purchase HPC to have a local head node for managing this compute cluster grid distributed in the cloud. ·        Blob storage is used to hold input & output files of each job. I can see how Parametric Sweep HPC jobs can be supported (where the same job is run multiple times on each node against different input units), but not MPI.NET (where different HPC Job instances function as coordinated agents and conduct master-slave inter-process communication), unless Azure is somehow tunneling MPI communication through inter-WorkerRole Azure Queues. ·        this is not the end of the story for Azure Grid Computing. If MS requires you to purchase a local HPC license (and administrate it), what's to stop a 3rd party from doing this and encapsulating exposing HPC WCF Broker Service to you for managing compute nodes? If MS doesn’t  provide head node as a service, someone else will! Process ·        requires creation of a worker node template that specifies a connection to an existing subscription for Windows Azure + an availability policy for the worker nodes. ·        After worker nodes are added to the cluster, you can start them, which provisions the Windows Azure role instances, and then bring them online to run HPC cluster jobs. ·        A Windows Azure worker role instance runs a HPC compatible Azure guest operating system which runs on the VMs that host your service. The guest operating system is updated monthly. You can choose to upgrade the guest OS for your service automatically each time an update is released - All role instances defined by your service will run on the guest operating system version that you specify. see Windows Azure Guest OS Releases and SDK Compatibility Matrix (http://go.microsoft.com/fwlink/?LinkId=190549). ·        use the hpcpack command to upload file packages and install files to run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Requirements ·        assuming you have an azure subscription account and the HPC head node installed and configured. ·        Install HPC Pack 2008 R2 SP 1 -  see Microsoft HPC Pack 2008 R2 Service Pack 1 Release Notes (http://go.microsoft.com/fwlink/?LinkID=202812). ·        Configure the head node to connect to the Internet - connectivity is provided by the connection of the head node to the enterprise network. You may need to configure a proxy client on the head node. Any cluster network topology (1-5) is supported). ·        Configure the firewall - allow outbound TCP traffic on the following ports: 80,       443, 5901, 5902, 7998, 7999 ·        Note: HPC Server  uses Admin Mode (Elevated Privileges) in Windows Azure to give the service administrator of the subscription the necessary privileges to initialize HPC cluster services on the worker nodes. ·        Obtain a Windows Azure subscription certificate - the Windows Azure subscription must be configured with a public subscription (API) certificate -a valid X.509 certificate with a key size of at least 2048 bits. Generate a self-sign certificate & upload a .cer file to the Windows Azure Portal Account page > Manage my API Certificates link. see Using the Windows Azure Service Management API (http://go.microsoft.com/fwlink/?LinkId=205526). ·        import the certificate with an associated private key on the HPC cluster head node - into the trusted root store of the local computer account. Obtain Windows Azure Connection Information for HPC Server ·        required for each worker node template ·        copy from azure portal - Get from: navigation pane > Hosted Services > Storage Accounts & CDN ·        Subscription ID - a 32-char hex string in the form xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx. In Properties pane. ·        Subscription certificate thumbprint - a 40-char hex string (you need to remove spaces). In Management Certificates > Properties pane. ·        Service name - the value of <ServiceName> configured in the public URL of the service (http://<ServiceName>.cloudapp.net). In Hosted Services > Properties pane. ·        Blob Storage account name - the value of <StorageAccountName> configured in the public URL of the account (http://<StorageAccountName>.blob.core.windows.net). In Storage Accounts > Properties pane. Import the Azure Subscription Certificate on the HPC Head Node ·        enable the services for Windows HPC Server  to authenticate properly with the Windows Azure subscription. ·        use the Certificates MMC snap-in to import the certificate to the Trusted Root Certification Authorities store of the local computer account. The certificate must be in PFX format (.pfx or .p12 file) with a private key that is protected by a password. ·        see Certificates (http://go.microsoft.com/fwlink/?LinkId=163918). ·        To open the certificates snapin: Run > mmc. File > Add/Remove Snap-in > certificates > Computer account > Local Computer ·        To import the certificate via wizard - Certificates > Trusted Root Certification Authorities > Certificates > All Tasks > Import ·        After the certificate is imported, it appears in the details pane in the Certificates snap-in. You can open the certificate to check its status. Configure a Proxy Client on the HPC Head Node ·        the following Windows HPC Server services must be able to communicate over the Internet (through the firewall) with the services for Windows Azure: HPCManagement, HPCScheduler, HPCBrokerWorker. ·        Create a Windows Azure Worker Node Template ·        Edit HPC node templates in HPC Node Template Editor. ·        Specify: 1) Windows Azure subscription connection info (unique service name) for adding a set of worker nodes to the cluster + 2)worker node availability policy – rules for deploying / removing worker role instances in Windows Azure o   HPC Cluster Manager > Configuration > Navigation Pane > Node Templates > Actions pane > New à Create Node Template Wizard or Edit à Node Template Editor o   Choose Node Template Type page - Windows Azure worker node template o   Specify Template Name page – template name & description o   Provide Connection Information page – Azure Subscription ID (text) & Subscription certificate (browse) o   Provide Service Information page - Azure service name + blob storage account name (optionally click Retrieve Connection Information to get list of available from azure – possible LRT). o   Configure Azure Availability Policy page - how Windows Azure worker nodes start / stop (online / offline the worker role instance -  add / remove) – manual / automatic o   for automatic - In the Configure Windows Azure Worker Availability Policy dialog -select days and hours for worker nodes to start / stop. ·        To validate the Windows Azure connection information, on the template's Connection Information tab > Validate connection information. ·        You can upload a file package to the storage account that is specified in the template - eg upload application or service files that will run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Add Azure Worker Nodes to the HPC Cluster ·        Use the Add Node Wizard – specify: 1) the worker node template, 2) The number of worker nodes   (within the quota of role instances in the azure subscription), and 3)           The VM size of the worker nodes : ExtraSmall, Small, Medium, Large, or ExtraLarge.  ·        to add worker nodes of different sizes, must run the Add Node Wizard separately for each size. ·        All worker nodes that are added to the cluster by using a specific worker node template define a set of worker nodes that will be deployed and managed together in Windows Azure when you start the nodes. This includes worker nodes that you add later by using the worker node template and, if you choose, worker nodes of different sizes. You cannot start, stop, or delete individual worker nodes. ·        To add Windows Azure worker nodes o   In HPC Cluster Manager: Node Management > Actions pane > Add Node à Add Node Wizard o   Select Deployment Method page - Add Azure Worker nodes o   Specify New Nodes page - select a worker node template, specify the number and size of the worker nodes ·        After you add worker nodes to the cluster, they are in the Not-Deployed state, and they have a health state of Unapproved. Before you can use the worker nodes to run jobs, you must start them and then bring them online. ·        Worker nodes are numbered consecutively in a naming series that begins with the root name AzureCN – this is non-configurable. Deploying Windows Azure Worker Nodes ·        To deploy the role instances in Windows Azure - start the worker nodes added to the HPC cluster and bring the nodes online so that they are available to run cluster jobs. This can be configured in the HPC Azure Worker Node Template – Azure Availability Policy -  to be automatic or manual. ·        The Start, Stop, and Delete actions take place on the set of worker nodes that are configured by a specific worker node template. You cannot perform one of these actions on a single worker node in a set. You also cannot perform a single action on two sets of worker nodes (specified by two different worker node templates). ·        ·          Starting a set of worker nodes deploys a set of worker role instances in Windows Azure, which can take some time to complete, depending on the number of worker nodes and the performance of Windows Azure. ·        To start worker nodes manually and bring them online o   In HPC Node Management > Navigation Pane > Nodes > List / Heat Map view - select one or more worker nodes. o   Actions pane > Start – in the Start Azure Worker Nodes dialog, select a node template. o   the state of the worker nodes changes from Not Deployed to track the provisioning progress – worker node Details Pane > Provisioning Log tab. o   If there were errors during the provisioning of one or more worker nodes, the state of those nodes is set to Unknown and the node health is set to Unapproved. To determine the reason for the failure, review the provisioning logs for the nodes. o   After a worker node starts successfully, the node state changes to Offline. To bring the nodes online, select the nodes that are in the Offline state > Bring Online. ·        Troubleshooting o   check node template. o   use telnet to test connectivity: telnet <ServiceName>.cloudapp.net 7999 o   check node status - Deployment status information appears in the service account information in the Windows Azure Portal - HPC queries this -  see  node status information for any failed nodes in HPC Node Management. ·        When role instances are deployed, file packages that were previously uploaded to the storage account using the hpcpack command are automatically installed. You can also upload file packages to storage after the worker nodes are started, and then manually install them on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). ·        to remove a set of role instances in Windows Azure - stop the nodes by using HPC Cluster Manager (apply the Stop action). This deletes the role instances from the service and changes the state of the worker nodes in the HPC cluster to Not Deployed. ·        Each time that you start a set of worker nodes, two proxy role instances (size Small) are configured in Windows Azure to facilitate communication between HPC Cluster Manager and the worker nodes. The proxy role instances are not listed in HPC Cluster Manager after the worker nodes are added. However, the instances appear in the Windows Azure Portal. The proxy role instances incur charges in Windows Azure along with the worker node instances, and they count toward the quota of role instances in the subscription.

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• jboss cache as hibernate 2nd level - cluster node doesn't persist replicated data

  - by Sergey Grashchenko

  I'm trying to build an architecture basically described in user guide http://www.jboss.org/file-access/default/members/jbosscache/freezone/docs/3.2.1.GA/userguide_en/html/cache_loaders.html#d0e3090 (Replicated caches with each cache having its own store.) but having jboss cache configured as hibernate second level cache. I've read manual for several days and played with the settings but could not achieve the result - the data in memory (jboss cache) gets replicated across the hosts, but it's not persisted in the datasource/database of the target (not original) cluster host. I had a hope that a node might become persistent at eviction, so I've got a cache listener and attached it to @NoveEvicted event. I found that though I could adjust eviction policy to fully control it, no any persistence takes place. Then I had a though that I could try to modify CacheLoader to set "passivate" to true, but I found that in my case (hibernate 2nd level cache) I don't have a way to access a loader. I wonder if replicated data persistence is possible at all by configuration tuning ? If not, will it work for me to create some manual peristence in CacheListener (I could check whether the eviction event is local, and if not - persist it to hibernate datasource somehow) ? I've used mvcc-entity configuration with the modification of cacheMode - set to REPL_ASYNC. I've also played with the eviction policy configuration. Last thing to mention is that I've tested entty persistence and replication in project that has been generated with Seam. I guess it's not important though.

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• iptable CLUSTERIP won't work

  - by Rad Akefirad

  We have some requirements which explained here. We tried to satisfy them without any success as described. Here is the brief information: Here are requirements: 1. High Availability 2. Load Balancing Current Configuration: Server #1: one static (real) IP for each 10.17.243.11 Server #2: one static (real) IP for each 10.17.243.12 Cluster (virtual and shared among all servers) IP: 10.17.243.15 I tried to use CLUSTERIP to have the cluster IP by the following: on the server #1 iptables -I INPUT -i eth0 -d 10.17.243.15 -j CLUSTERIP --new --hashmode sourceip --clustermac 01:00:5E:00:00:20 --total-nodes 2 --local-node 1 on the server #2 iptables -I INPUT -i eth0 -d 10.17.243.15 -j CLUSTERIP --new --hashmode sourceip --clustermac 01:00:5E:00:00:20 --total-nodes 2 --local-node 2 When we try to ping 10.17.243.15 there is no reply. And the web service (tomcat on port 8080) is not accessible either. However we managed to get the packets on both servers by using TCPDUMP. Some useful information: iptable roules (iptables -L -n -v): Chain INPUT (policy ACCEPT 21775 packets, 1470K bytes) pkts bytes target prot opt in out source destination 0 0 CLUSTERIP all -- eth0 * 0.0.0.0/0 10.17.243.15 CLUSTERIP hashmode=sourceip clustermac=01:00:5E:00:00:20 total_nodes=2 local_node=1 hash_init=0 Chain FORWARD (policy ACCEPT 0 packets, 0 bytes) pkts bytes target prot opt in out source destination Chain OUTPUT (policy ACCEPT 14078 packets, 44M bytes) pkts bytes target prot opt in out source destination Log messages: ... kernel: [ 7.329017] e1000e: eth3 NIC Link is Up 100 Mbps Full Duplex, Flow Control: None ... kernel: [ 7.329133] e1000e 0000:05:00.0: eth3: 10/100 speed: disabling TSO ... kernel: [ 7.329567] ADDRCONF(NETDEV_CHANGE): eth3: link becomes ready ... kernel: [ 71.333285] ip_tables: (C) 2000-2006 Netfilter Core Team ... kernel: [ 71.341804] nf_conntrack version 0.5.0 (16384 buckets, 65536 max) ... kernel: [ 71.343168] ipt_CLUSTERIP: ClusterIP Version 0.8 loaded successfully ... kernel: [ 108.456043] device eth0 entered promiscuous mode ... kernel: [ 112.678859] device eth0 left promiscuous mode ... kernel: [ 117.916050] device eth0 entered promiscuous mode ... kernel: [ 140.168848] device eth0 left promiscuous mode TCPDUMP while pinging: tcpdump: listening on eth0, link-type EN10MB (Ethernet), capture size 65535 bytes 12:11:55.335528 IP (tos 0x0, ttl 64, id 0, offset 0, flags [DF], proto ICMP (1), length 84) 10.17.243.1 > 10.17.243.15: ICMP echo request, id 16162, seq 2390, length 64 12:11:56.335778 IP (tos 0x0, ttl 64, id 0, offset 0, flags [DF], proto ICMP (1), length 84) 10.17.243.1 > 10.17.243.15: ICMP echo request, id 16162, seq 2391, length 64 12:11:57.336010 IP (tos 0x0, ttl 64, id 0, offset 0, flags [DF], proto ICMP (1), length 84) 10.17.243.1 > 10.17.243.15: ICMP echo request, id 16162, seq 2392, length 64 12:11:58.336287 IP (tos 0x0, ttl 64, id 0, offset 0, flags [DF], proto ICMP (1), length 84) 10.17.243.1 > 10.17.243.15: ICMP echo request, id 16162, seq 2393, length 64 And there is no ping reply as I said. Does anyone know which part I missed? Thanks in advance.

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• Using WKA in Large Coherence Clusters (Disabling Multicast)

  - by jpurdy

  Disabling hardware multicast (by configuring well-known addresses aka WKA) will place significant stress on the network. For messages that must be sent to multiple servers, rather than having a server send a single packet to the switch and having the switch broadcast that packet to the rest of the cluster, the server must send a packet to each of the other servers. While hardware varies significantly, consider that a server with a single gigabit connection can send at most ~70,000 packets per second. To continue with some concrete numbers, in a cluster with 500 members, that means that each server can send at most 140 cluster-wide messages per second. And if there are 10 cluster members on each physical machine, that number shrinks to 14 cluster-wide messages per second (or with only mild hyperbole, roughly zero). It is also important to keep in mind that network I/O is not only expensive in terms of the network itself, but also the consumption of CPU required to send (or receive) a message (due to things like copying the packet bytes, processing a interrupt, etc). Fortunately, Coherence is designed to rely primarily on point-to-point messages, but there are some features that are inherently one-to-many: Announcing the arrival or departure of a member Updating partition assignment maps across the cluster Creating or destroying a NamedCache Invalidating a cache entry from a large number of client-side near caches Distributing a filter-based request across the full set of cache servers (e.g. queries, aggregators and entry processors) Invoking clear() on a NamedCache The first few of these are operations that are primarily routed through a single senior member, and also occur infrequently, so they usually are not a primary consideration. There are cases, however, where the load from introducing new members can be substantial (to the point of destabilizing the cluster). Consider the case where cluster in the first paragraph grows from 500 members to 1000 members (holding the number of physical machines constant). During this period, there will be 500 new member introductions, each of which may consist of several cluster-wide operations (for the cluster membership itself as well as the partitioned cache services, replicated cache services, invocation services, management services, etc). Note that all of these introductions will route through that one senior member, which is sharing its network bandwidth with several other members (which will be communicating to a lesser degree with other members throughout this process). While each service may have a distinct senior member, there's a good chance during initial startup that a single member will be the senior for all services (if those services start on the senior before the second member joins the cluster). It's obvious that this could cause CPU and/or network starvation. In the current release of Coherence (3.7.1.3 as of this writing), the pure unicast code path also has less sophisticated flow-control for cluster-wide messages (compared to the multicast-enabled code path), which may also result in significant heap consumption on the senior member's JVM (from the message backlog). This is almost never a problem in practice, but with sufficient CPU or network starvation, it could become critical. For the non-operational concerns (near caches, queries, etc), the application itself will determine how much load is placed on the cluster. Applications intended for deployment in a pure unicast environment should be careful to avoid excessive dependence on these features. Even in an environment with multicast support, these operations may scale poorly since even with a constant request rate, the underlying workload will increase at roughly the same rate as the underlying resources are added. Unless there is an infrastructural requirement to the contrary, multicast should be enabled. If it can't be enabled, care should be taken to ensure the added overhead doesn't lead to performance or stability issues. This is particularly crucial in large clusters.

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• Which process is using my NAS?

  - by sethu

  I have a nas connected to my cluster. The NAS holds all our home directories. When I did a set of experiments last week, saving a 1 GB file to the nas took around 30 seconds. If i do the same to a local disk it takes 18 seconds. But when I tried doing the same process today, it takes 150 seconds. I am unsure what is the problem . Can someone help me pointout the issue? Is it possible to find out which process is accessing the NAS or how much NAS bandwidth is getting used ? Thanks for your help. -Sethu

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• coordinating a script to run on only one of identical load-balanced servers

  - by Amos Shapira

  I have two identically configured CentOS 5 servers (possibly more in the future). I need to run a cron job on any one of them and that it'll run only on one of them. I know about RedHat Cluster Suite (we use it on other servers), but it's a too big a gun to use for this task, plus it doesn't really behave well for less than three nodes. Is there anything light-weight I can use for that? The servers can communicate with each other directly. I suppose I can develope something over ssh or nrpe (two server which are already installed on these servers), but I was wondering whether there is something already available.

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