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  • Cant access EC2 hosted website

    - by Himanshu Page
    For some reason, I am unable to access our website www.doccaster.com (Bad request nginx). We are hosted on amazon EC2 with elastic ip associated to it. The weird part is a) I can access it through the public dns url http://ec2-184-73-195-180.compute-1.amazonaws.com b) My co founder who is located in another city can access it via www.doccaster.com. I observed that my instance was failing reachability check, so I launched a new one and assigned it the the elastic ip. I tried to ping the ip address 184.73.195.180 from my machine but no success. Any help will be really appreciated. More details I ran the following command on my server netstat -lntp | grep -E 'apache|httpd' and it displays :::80 for httpd . Is this accurate ? Should it be 0:0:0:80 ? or doesnt matter?

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  • TCP 30 small packets per second flood connection with server

    - by Denis Ermolin
    I'm testing connection with flash client and cloud server(boost::asio for software) over TCP connection. My connection with server already is really poor - 120 ms ping in average. I found when i start to send packets with 2 bytes size (without tcp header) with speed 30 packets/s - ping grow to 170-200 average. I think that it's really bad and my bad connection and bad cloud provider is reason for this high ping without any load. What do you think? (I tested my software - it can compute about 50k small packets/s so software is not a problem). I measure my ping through flash client - send packet with timestamp and immediatly send from server to client.

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  • Cloud hosting and single hardware point of failure?

    - by PeterB
    From talking to sales I thought Rackspace Cloud was running on a SAN and compute nodes (as VMWare's offerings do), only to find out it doesn't, so when the host server goes down for maintenance all cloud servers on the server go down (in our case for 2.5 hours). I understand Amazon EC2 also has this single-server point of failure. Which cloud hosting solutions don't rely on a single server? I've yet to find a list by architecture Is there a term that distinguishes between these types of 'cloud'? Is one of these 'grid computing' and the other 'virtualisation'? Can a SAN backed solution provide the same reliability as 2 mirrored cloud servers on (say) Rackspace Cloud? I am more familiar with the VMWare architecture and would like to understand the advantages and disadvantages of each approach. I understand the standard architecture is to have multiple cloud servers and mirrored data between them; until we need multiple database servers I'm wondering if a SAN/node hosting solution would provide the lack of downtime we need without the added complexity.

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  • Games + Closed Lid = Hibernation

    - by Isaac Rabinovitch
    I have an ASUS N53S that I mainly bought for its RAM capacity. (I run a lot of VMs.) But as a bonus, it came with a fancy ATI video card. So I decided to install GTA 4 and plug it into a big monitor and settle down for some casual mayhem. But after about 5 minutes, it goes into hibernation! What gives? Since I was using an external monitor and didn't need the keyboard (using an XBox controller) I closed the lid on the laptop. Gaming is compute-intensive, so my GPU and CPU were both working hard and generating heat. Closing the lid interfered with cooling. Since I have the laptop configured to hibernate when I press the power button, the heat-triggered shutdown caused hibernation.

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  • Mimicking Google's Persistent Disks -- Is this a logical FreeBSD disaster recovery strategy?

    - by Casey Jordan
    I am looking into FreeBSD to provide a more comprehensive backup and disaster recovery strategy for database servers. Ideally I want to mimic what google is doing with "Persistent disks" https://developers.google.com/compute/docs/disks#snapshots I am hoping someone who knows more about FreeBSD can validate these ideas/questions: I have read that FreeBSD can take instant disk snapshots, therefore if our databases trigger a consistent state (Block all writes, and flush buffers to disk), I would assume I could take snapshots every hour without service interruption for more than a few seconds. Is this true? Is there a way to take snapshots and back them up offsite easily? Can this be done incrementally as to save how much disk space is actually used? If a rollback needed to be done, how long does this typically take? Is a rollback also instantaneous? Thanks!

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  • Restart an in-use NFS server without interruption (within timeout)

    - by zebediah49
    I have a bunch of compute clients working on jobs, saving output data to a NAS machine. All machines are centos 6.2. They mount it via automount NFS, with a timeout of 1200 (default config). The NAS machine needs to be restarted. If I can restart the machine within that 1200s (20 minute) window, will the clients just block on IO until it comes back up? A minor interruption (pause) in service is ok, as long as it doesn't cause the running processes to error out. If necessary I could loop through and SIGSTOP all job processes, restart and resume them -- I just don't want to break the open file handles. How can I run a restart like this without killing processes with open files?

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  • How to change the URL on my Amazon EC2 webserver

    - by Sarah
    I am at the point in playing around with EC2 that I have launched a webserver. Right now, the website URL looks like http://ec2-<some numbers>.compute-1.amazonaws.com/ I am evaluating the usefulness of these services for my small business purposes; is there a way I can get my URL to look something more like http://<mybusiness>.com. Ideally, I would like to get it to look cleaner, and furthermore I would rather not have "amazonaws" as part of it. Is this possible? I'm a newb to AWS, so apologies if this is an easy question

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  • Mimicking Google's Persistant Disks -- Is this a logical FreeBSD disaster recovery strategy?

    - by Casey Jordan
    I am looking into FreeBSD to provide a more comprehensive backup and disaster recovery strategy for database servers. Ideally I want to mimic what google is doing with "Persistant disks" https://developers.google.com/compute/docs/disks#snapshots I am hoping someone who knows more about FreeBSD can validate these ideas/questions: I have read that FreeBSD can take instant disk snapshots, therefore if our databases trigger a consistent state (Block all writes, and flush buffers to disk), I would assume I could take snapshots every hour without service interruption for more than a few seconds. Is this true? Is there a way to take snapshots and back them up offsite easily? Can this be done incrementally as to save how much disk space is actually used? If a rollback needed to be done, how long does this typically take? Is a rollback also instantaneous? Thanks!

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  • High Availability Clustering and Virtualization

    - by tmcallaghan
    I'm trying to understand how the various virtualization vendors (specifically Amazon EC2, but also VMware and Xen) enable software vendors to provide a real HA solution in the environment where the servers are virtualized. Specifically, if I'm running any HA application (exchange, databases, etc) I need to ensure that my redundant virtual "servers" aren't located on the same physical server. Using in-house virtualization solutions (VMware, Xen, etc) I can provision accordingly as well as check the virtual - physical arrangement. I could, however, accidentally "vmotion" to the same physical hardware. With EC2, I don't even have the ability at provision time to select different physical servers. Since their Cluster Compute Instances are 1 virtual server per physical server it seems to be the only way to guarantee I don't have a false sense of redundancy. Any ideas or thoughts would be helpful. What are others doing about this problem? If the vendors provided an API where I could get something as simple as a unique physical system identifier I could at least know if I'm going to have an issue. -Tim

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  • KVM guest storage difference with NBD and NFS

    - by WojonsTech
    I am setting up my own little private cloud for my own use maybe for a project or to. I am using linux kvm on debian 6. I have 3 servers 2 of them for compute nodes and 1 storage node. I would I have already installed kvm made a few test machines got my networking setup. I have 2 nics on each server 1 nic is for web traffic other nic is for network traffic. My first Idea was to use NFS for storing the guest machines which can range in size, maybe 8gb maybe 100gb, it just depends. I was doing have heard of nbd before seems like it could work but I dont know what the performance differences are and if it will effect my enviroment, nfs looks like it will be easier to use.

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  • Excel - Reuse a trend line to apply to other data

    - by milko
    I've obtained a trend line from a particular set of data. What I'd like to do now is to reuse this trend line to predict values from a given pair (x,y) of coordinates. To put it another way, I have one pair (x,y) that I know is correct for sure. I don't know any other point. Let's assume the behavior of this new set is similar to the one I've got the trend line from. Is there any way Excel could compute other points following this trend line?

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  • Setup Apache in Amazon AWS

    - by hudarsono
    Hi, I tried to setup apache 2.2 in amazon aws using amazon ami. i did installed httpd and php and congirue http.conf to use /var/www/html. Then put file index.html on that folder. But when i tried to use browser to browse my domain which is ec2-122-248-255-181.ap-southeast-1.compute.amazonaws.com, nothing was loaded. I did start httpd by running apachectl start, and i can see it listening on port 80. Does anybody know what is wrong?

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  • Analyse frequencies of date ranges in Google Drive

    - by wnstnsmth
    I have a Google Drive spreadsheet where I would like to compute occurrences of date ranges. As you can see in my sheet, there is a column date_utc+1 which contains almost random date data. https://docs.google.com/spreadsheet/ccc?key=0AhqMXeYxWMD_dGRkVGRqbkR3c05mWUdhYkJWcFo2Mmc What I would like to do is 1) put the date values into bins of 6 hours each, i.e. 12/5/2012 23:57:04 until 12/6/2012 0:03:17 would be in the first bin, 12/6/2012 11:20:53 until 12/6/2012 17:17:07 in the second bin, and so forth. Then, I would like to count the occurrence of those bins, such as bin_from bin_to freq ----------------------------------------------- 12/5/2012 23:57:04 12/6/2012 0:03:17 2 12/6/2012 11:20:53 12/6/2012 17:17:07 19 ... ... ... Hope it is clear what I mean. Partial hints are very welcome as well since I am pretty new to spreadsheeting.

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  • Django - no module named app

    - by Koran
    Hi, I have been trying to get an application written in django working - but it is not working at all. I have been working on for some time too - and it is working on dev-server perfectly. But I am unable to put in the production env (apahce). My project name is apstat and the app name is basic. I try to access it as following Blockquote http://hostname/apstat But it shows the following error: MOD_PYTHON ERROR ProcessId: 6002 Interpreter: 'domU-12-31-39-06-DD-F4.compute-1.internal' ServerName: 'domU-12-31-39-06-DD-F4.compute-1.internal' DocumentRoot: '/home/ubuntu/server/' URI: '/apstat/' Location: '/apstat' Directory: None Filename: '/home/ubuntu/server/apstat/' PathInfo: '' Phase: 'PythonHandler' Handler: 'django.core.handlers.modpython' Traceback (most recent call last): File "/usr/lib/python2.6/dist-packages/mod_python/importer.py", line 1537, in HandlerDispatch default=default_handler, arg=req, silent=hlist.silent) File "/usr/lib/python2.6/dist-packages/mod_python/importer.py", line 1229, in _process_target result = _execute_target(config, req, object, arg) File "/usr/lib/python2.6/dist-packages/mod_python/importer.py", line 1128, in _execute_target result = object(arg) File "/usr/lib/pymodules/python2.6/django/core/handlers/modpython.py", line 228, in handler return ModPythonHandler()(req) File "/usr/lib/pymodules/python2.6/django/core/handlers/modpython.py", line 201, in __call__ response = self.get_response(request) File "/usr/lib/pymodules/python2.6/django/core/handlers/base.py", line 134, in get_response return self.handle_uncaught_exception(request, resolver, exc_info) File "/usr/lib/pymodules/python2.6/django/core/handlers/base.py", line 154, in handle_uncaught_exception return debug.technical_500_response(request, *exc_info) File "/usr/lib/pymodules/python2.6/django/views/debug.py", line 40, in technical_500_response html = reporter.get_traceback_html() File "/usr/lib/pymodules/python2.6/django/views/debug.py", line 114, in get_traceback_html return t.render(c) File "/usr/lib/pymodules/python2.6/django/template/__init__.py", line 178, in render return self.nodelist.render(context) File "/usr/lib/pymodules/python2.6/django/template/__init__.py", line 779, in render bits.append(self.render_node(node, context)) File "/usr/lib/pymodules/python2.6/django/template/debug.py", line 81, in render_node raise wrapped TemplateSyntaxError: Caught an exception while rendering: No module named basic Original Traceback (most recent call last): File "/usr/lib/pymodules/python2.6/django/template/debug.py", line 71, in render_node result = node.render(context) File "/usr/lib/pymodules/python2.6/django/template/debug.py", line 87, in render output = force_unicode(self.filter_expression.resolve(context)) File "/usr/lib/pymodules/python2.6/django/template/__init__.py", line 572, in resolve new_obj = func(obj, *arg_vals) File "/usr/lib/pymodules/python2.6/django/template/defaultfilters.py", line 687, in date return format(value, arg) File "/usr/lib/pymodules/python2.6/django/utils/dateformat.py", line 269, in format return df.format(format_string) File "/usr/lib/pymodules/python2.6/django/utils/dateformat.py", line 30, in format pieces.append(force_unicode(getattr(self, piece)())) File "/usr/lib/pymodules/python2.6/django/utils/dateformat.py", line 175, in r return self.format('D, j M Y H:i:s O') File "/usr/lib/pymodules/python2.6/django/utils/dateformat.py", line 30, in format pieces.append(force_unicode(getattr(self, piece)())) File "/usr/lib/pymodules/python2.6/django/utils/encoding.py", line 71, in force_unicode s = unicode(s) File "/usr/lib/pymodules/python2.6/django/utils/functional.py", line 201, in __unicode_cast return self.__func(*self.__args, **self.__kw) File "/usr/lib/pymodules/python2.6/django/utils/translation/__init__.py", line 62, in ugettext return real_ugettext(message) File "/usr/lib/pymodules/python2.6/django/utils/translation/trans_real.py", line 286, in ugettext return do_translate(message, 'ugettext') File "/usr/lib/pymodules/python2.6/django/utils/translation/trans_real.py", line 276, in do_translate _default = translation(settings.LANGUAGE_CODE) File "/usr/lib/pymodules/python2.6/django/utils/translation/trans_real.py", line 194, in translation default_translation = _fetch(settings.LANGUAGE_CODE) File "/usr/lib/pymodules/python2.6/django/utils/translation/trans_real.py", line 180, in _fetch app = import_module(appname) File "/usr/lib/pymodules/python2.6/django/utils/importlib.py", line 35, in import_module __import__(name) ImportError: No module named basic My settings.py is as follows: INSTALLED_APPS = ( 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'apstat.basic', 'django.contrib.admin', ) If I remove the apstat.basic, it goes through, but that is not a solution. Is it something I am doing in apache? My apache - settings are - <VirtualHost *:80> ServerAdmin webmaster@localhost DocumentRoot /home/ubuntu/server/ <Directory /> Options None AllowOverride None </Directory> <Directory /home/ubuntu/server/apstat> AllowOverride None Order allow,deny allow from all </Directory> <Location "/apstat"> SetHandler python-program PythonHandler django.core.handlers.modpython SetEnv DJANGO_SETTINGS_MODULE apstat.settings PythonOption django.root /home/ubuntu/server/ PythonDebug On PythonPath "['/home/ubuntu/server/'] + sys.path" </Location> </VirtualHost> I have now sat for more than a day on this. If someone can help me out, it would be very nice.

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  • Make file Linking issue Undefined symbols for architecture x86_64

    - by user1035839
    I am working on getting a few files to link together using my make file and c++ and am getting the following error when running make. g++ -bind_at_load `pkg-config --cflags opencv` -c -o compute_gist.o compute_gist.cpp g++ -bind_at_load `pkg-config --cflags opencv` -c -o gist.o gist.cpp g++ -bind_at_load `pkg-config --cflags opencv` -c -o standalone_image.o standalone_image.cpp g++ -bind_at_load `pkg-config --cflags opencv` -c -o IplImageConverter.o IplImageConverter.cpp g++ -bind_at_load `pkg-config --cflags opencv` -c -o GistCalculator.o GistCalculator.cpp g++ -bind_at_load `pkg-config --cflags opencv` `pkg-config --libs opencv` compute_gist.o gist.o standalone_image.o IplImageConverter.o GistCalculator.o -o rungist Undefined symbols for architecture x86_64: "color_gist_scaletab(color_image_t*, int, int, int const*)", referenced from: _main in compute_gist.o ld: symbol(s) not found for architecture x86_64 collect2: ld returned 1 exit status make: *** [rungist] Error 1 My makefile is as follows (Note, I don't need opencv bindings yet, but will be coding in opencv later. CXX = g++ CXXFLAGS = -bind_at_load `pkg-config --cflags opencv` LFLAGS = `pkg-config --libs opencv` SRC = \ compute_gist.cpp \ gist.cpp \ standalone_image.cpp \ IplImageConverter.cpp \ GistCalculator.cpp OBJS = $(SRC:.cpp=.o) rungist: $(OBJS) $(CXX) $(CXXFLAGS) $(LFLAGS) $(OBJS) -o $@ all: rungist clean: rm -rf $(OBJS) rungist The method header is located in gist.h float *color_gist_scaletab(color_image_t *src, int nblocks, int n_scale, const int *n_orientations); And the method is defined in gist.cpp float *color_gist_scaletab(color_image_t *src, int w, int n_scale, const int *n_orientation) { And finally the compute_gist.cpp (main file) #include <stdio.h> #include <stdlib.h> #include <string.h> #include "gist.h" static color_image_t *load_ppm(const char *fname) { FILE *f=fopen(fname,"r"); if(!f) { perror("could not open infile"); exit(1); } int width,height,maxval; if(fscanf(f,"P6 %d %d %d",&width,&height,&maxval)!=3 || maxval!=255) { fprintf(stderr,"Error: input not a raw PPM with maxval 255\n"); exit(1); } fgetc(f); /* eat the newline */ color_image_t *im=color_image_new(width,height); int i; for(i=0;i<width*height;i++) { im->c1[i]=fgetc(f); im->c2[i]=fgetc(f); im->c3[i]=fgetc(f); } fclose(f); return im; } static void usage(void) { fprintf(stderr,"compute_gist options... [infilename]\n" "infile is a PPM raw file\n" "options:\n" "[-nblocks nb] use a grid of nb*nb cells (default 4)\n" "[-orientationsPerScale o_1,..,o_n] use n scales and compute o_i orientations for scale i\n" ); exit(1); } int main(int argc,char **args) { const char *infilename="/dev/stdin"; int nblocks=4; int n_scale=3; int orientations_per_scale[50]={8,8,4}; while(*++args) { const char *a=*args; if(!strcmp(a,"-h")) usage(); else if(!strcmp(a,"-nblocks")) { if(!sscanf(*++args,"%d",&nblocks)) { fprintf(stderr,"could not parse %s argument",a); usage(); } } else if(!strcmp(a,"-orientationsPerScale")) { char *c; n_scale=0; for(c=strtok(*++args,",");c;c=strtok(NULL,",")) { if(!sscanf(c,"%d",&orientations_per_scale[n_scale++])) { fprintf(stderr,"could not parse %s argument",a); usage(); } } } else { infilename=a; } } color_image_t *im=load_ppm(infilename); //Here's the method call -> :( float *desc=color_gist_scaletab(im,nblocks,n_scale,orientations_per_scale); int i; int descsize=0; //compute descriptor size for(i=0;i<n_scale;i++) descsize+=nblocks*nblocks*orientations_per_scale[i]; descsize*=3; // color //print descriptor for(i=0;i<descsize;i++) printf("%.4f ",desc[i]); printf("\n"); free(desc); color_image_delete(im); return 0; } Any help would be greatly appreciated. I hope this is enough info. Let me know if I need to add more.

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  • Oracle Linux Delivers Top CPU Benchmark Results on Sun Blades

    - by sergio.leunissen
    From the Performance and Best Practices blog: Fresh SPEC CPU2006 results for Sun Blade X6275 M2 Server Modules running Oracle Linux 5.5. The highlights: The dual-node Sun Blade X6275 M2 server module, equipped with two Intel Xeon X5670 2.93 GHz processors per node and running the Oracle Enterprise Linux 5.5 operating system delivered the best SPECint_rate2006 and SPECfp_rate2006 benchmark results for all systems with Intel Xeon processor 5000 sequence. With a SPECint_rate2006 benchmark result of 679, the Sun Blade X6275 M2 server module, with two compute nodes per blade, delivers maximum performance for space constrained environments. Comparing Oracle's dual-node blade to HP's dual-node blade server, based on their single node performance, the Sun Blade X6275 M2 server module SPECfp_rate2006 score of 241 outperforms the best published HP ProLiant BL2X220c G5 server score by 3.2x. A single node of a Sun Blade X6275 M2 server module using 2.93 GHz Intel Xeon X5670 processors delivered 37% improvement in SPECint_rate2006 benchmark results and 22% improvement in SPECfp_rate2006 benchmark results compared to the previous generation Sun Blade X6275 server module. Both nodes of a Sun Blade X6275 M2 server module using 2.93 GHz Intel Xeon X5670 processors delivered 59% improvement on the SPECint_rate2006 benchmark and 40% improvement on the SPECfp_rate2006 benchmark compared to the previous generation Sun Blade X6275 server module.

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  • Oracle Announces Oracle Big Data Appliance X3-2 and Enhanced Oracle Big Data Connectors

    - by jgelhaus
    Enables Customers to Easily Harness the Business Value of Big Data at Lower Cost Engineered System Simplifies Big Data for the Enterprise Oracle Big Data Appliance X3-2 hardware features the latest 8-core Intel® Xeon E5-2600 series of processors, and compared with previous generation, the 18 compute and storage servers with 648 TB raw storage now offer: 33 percent more processing power with 288 CPU cores; 33 percent more memory per node with 1.1 TB of main memory; and up to a 30 percent reduction in power and cooling Oracle Big Data Appliance X3-2 further simplifies implementation and management of big data by integrating all the hardware and software required to acquire, organize and analyze big data. It includes: Support for CDH4.1 including software upgrades developed collaboratively with Cloudera to simplify NameNode High Availability in Hadoop, eliminating the single point of failure in a Hadoop cluster; Oracle NoSQL Database Community Edition 2.0, the latest version that brings better Hadoop integration, elastic scaling and new APIs, including JSON and C support; The Oracle Enterprise Manager plug-in for Big Data Appliance that complements Cloudera Manager to enable users to more easily manage a Hadoop cluster; Updated distributions of Oracle Linux and Oracle Java Development Kit; An updated distribution of open source R, optimized to work with high performance multi-threaded math libraries Read More   Data sheet: Oracle Big Data Appliance X3-2 Oracle Big Data Appliance: Datacenter Network Integration Big Data and Natural Language: Extracting Insight From Text Thomson Reuters Discusses Oracle's Big Data Platform Connectors Integrate Hadoop with Oracle Big Data Ecosystem Oracle Big Data Connectors is a suite of software built by Oracle to integrate Apache Hadoop with Oracle Database, Oracle Data Integrator, and Oracle R Distribution. Enhancements to Oracle Big Data Connectors extend these data integration capabilities. With updates to every connector, this release includes: Oracle SQL Connector for Hadoop Distributed File System, for high performance SQL queries on Hadoop data from Oracle Database, enhanced with increased automation and querying of Hive tables and now supported within the Oracle Data Integrator Application Adapter for Hadoop; Transparent access to the Hive Query language from R and introduction of new analytic techniques executing natively in Hadoop, enabling R developers to be more productive by increasing access to Hadoop in the R environment. Read More Data sheet: Oracle Big Data Connectors High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database

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  • CodePlex Daily Summary for Sunday, April 11, 2010

    CodePlex Daily Summary for Sunday, April 11, 2010New ProjectsArkzia: This Silverlight game.CodePlex Wiki Editor: CodePlex Wiki Editor makes it easier for CodePlex users to create their wiki documentations. This project offer a rich interface for the edition...Evaluate: Evaluate & Comet DWR like .NET library with powerfull Evaluate and Ajax Comet support. Also, you may use Evaluate library in your own .Net applicat...FamAccountor: 家庭记账薄Horadric: This is common tools freamwork!K8061.Managed: This is a solution to use the Velleman Extended K8061 USB Interface board with .net and to have a nice wrapper handling most of the overhead for us...Latent semantic analysis: all you need is to use!: Baggr is feed aggregator with web interface, user rating and LSA filter. Enjoy it!LIF7 ==> RISK : TOWER DEFENSE: Université Lyon 1, L2 MATH-INFO 2009-2010 Semestre de printemps Projet RISK : TOWER DEFENSE Membres : Jessica El Melhem, Vincent Sébille, et Jonat...Managed ESL Suite: Managed ESL Suite using C# for FreeSWITCH Omni-Tool - A program version concept of the tool used in Mass Effect.: A program version concept of the tool used in Mass Effect. It will support little apps (plugins) that run inside the UI. Its talor mainly at develo...PdxCodeCamp: Web application for Portland Code CampProjeto Vírus: Desenvolvimento do Jogo Virus em XNAsilverlight control - stars with rounded corners: Draw stars and cogs including rounded cornersSilverlight MathParser: Implementation of mathematical expressions parser to compute and functions.turing machine simulator: Project for JCE in course SW engeenering. Turing Machine simulator with GUI.WpD - Wallpapers Downloader: You can easy download wallpapers to your computer without any advertising or registration. On 5 minutes you can download so many wallpapers!New ReleasesAJAX Control Framework: v1.0.0.0: New AJAX project that helps you create AJAX enabled controls. Make use of control level AJAX methods, a Script Manager that works like you'd expect...AutoFixture: Version 1.1: This is version 1.1 of AutoFixture. This release contains no known bugs. Compared to Release Candidate 1 for version 1.1, there are no changes. Ho...AutoPoco: AutoPoco 0.3: Method Invocation in configuration Custom type providers during configuration Method invocation for generationBacicworx (Basic Services Framework): 3.0.10.410 (Beta): Major update, winnowing, and recode of the library. Removed redundant classses and methods which have similar functionality to those available in ...Bluetooth Radar: Version 1.5: Mostly UI and Animation Changes.BUtil: BUtil 4.9: 1. Icons of kneo are almost removed 2. Deployment was moved to codeplex.com 3. Adding of storages was unavailable when any of storages are used FIXEDcrudwork library: crudwork 2.2.0.3: few bug fixes new object viewer - allow the user to view and change an object through the property grid and/or the simple XML editor pivot table ...EnhSim: Release v1.9.8.5: Release v1.9.8.5Removed the debugging output from the Armor Penetration change.EnhSim: Release v1.9.8.6: Release v1.9.8.6Updated release to include the correct version of EnhSimGUIEvaluate: Evaluate Library: This file contains Evaluate library source code under Visual Studio project. Also, there is a sample project to see the use.ExcelDna: ExcelDna Version 0.25: This is an important bugfix release, with the following changes: Fix case where unpacked .config temp file might not be deleted. Fix compiler pro...FamAccountor: 家庭账薄 预览版v0.0.1: 家庭账薄 预览版v0.0.1 该版本提供基本功能,还有待扩展! Feature: 实现基本添加、编辑、删除功能。FamAccountor: 家庭账薄 预览版v0.0.2: 家庭账薄 预览版v0.0.2 该版本提供基本功能,还有待扩展! Feature: 添加账户管理功能。Folder Bookmarks: Folder Bookmarks 1.4.2: This is the latest version of Folder Bookmarks (1.4.2), with general improvements. It has an installer - it will create a directory 'CPascoe' in My...GKO Libraries: GKO Libraries 0.3 Beta: Added Silverlight support for Gko.Utils Added ExtensionsHash Calculator: HashCalculator 1.2: HashCalculator 1.2HD-Trailers.NET Downloader: Version: TrailersOnly if set to 'true' only titles with 'trailer' in the title will be download MinTrailerSize Added a minimum trailer size, this avoids t...Home Access Plus+: v3.2.6.0: v3.2.5.1 Release Change Log: Add lesson naming Fixed a bug in the help desk which was rendering the wrong URL for tickets Planning has started ...HTML Ruby: 6.20.0: All new concept, all new code. Because this release does not support complex ruby annotations, "Furigana Injector" is not supported by this release...HTML Ruby: 6.20.1: Fixed problem where ruby with closed tags but no rb tag will result in empty page Added support for complex ruby annotation (limited single ruby)...K8061.Managed: K8061.Managed: This is a pre-compilled K8061.Managed.DLL file release 1.0.Kooboo CMS: Kooboo CMS 2.1.0.0: Users of Kooboo CMS 2.0, please use the "Check updates" feature under System to upgrade New featuresWebDav support You can now use tools like w...Kooboo forum: Kooboo Forum Module for 2.1.0.0: Compatible with Kooboo cms 2.1.0.0 Upgrade to MVC 2Kooboo GoogleAnalytics: Kooboo GoogleAnalytics Module for 2.1.0.0: Compatible with Kooboo cms 2.1.0.0 Upgrade to MVC 2Kooboo wiki: Kooboo CMS Wiki module for 2.1.0.0: Compatible with Kooboo cms 2.1.0.0 Upgrade to MVC 2Mavention: Mavention Simple SiteMapPath: Mavention Simple SiteMapPath is a custom control that renders breadcrumbs as an unordered list what makes it a perfect solution for breadcrumbs on ...MetaSharp: MetaSharp v0.3: MetaSharp v0.3 Roadmap: Oslo Independence Custom Grammar library Improved build environment dogfooding Project structure simplificationsRoTwee: RoTwee (10.0.0.7): New feature of this version is support for mouse wheel. You can rotate tweets rotating mouse wheel.silverlight control - stars with rounded corners: first step: These are the first examples.Silverlight MathParser: Silverlight MathParser 1.0: Implementation of mathematical expressions parser to compute and functions.SimpleGeo.NET: SimpleGeo.NET example website project: ConfigurationYou must change these three configuration values in AppSettings.config: Google Maps API key: for the maps on the test site. Get one he...StickyTweets: 0.6.0: Version 0.6.0 Code - PERFORMANCE Hook into Async WinInet to perform async requests without adding an additional thread Code - Verify that async r...System.Html: Version 1.3; fixed bugs and improved performance: This release incorporates bug fixes, a new normalize method proposed by RudolfHenning of Codeplex.VCC: Latest build, v2.1.30410.0: Automatic drop of latest buildVFPX: FoxTabs 0.9.2: The following issues were addressed: 26744 24954 24767Visual Studio DSite: Advanced Guessing Number Game (Visual C++ 2008): A guessing number game made in visual c 2008.WpD - Wallpapers Downloader: WpD v0.1: My first release, I hope you enjoyMost Popular ProjectsWBFS ManagerRawrASP.NET Ajax LibraryMicrosoft SQL Server Product Samples: DatabaseAJAX Control ToolkitSilverlight ToolkitWindows Presentation Foundation (WPF)ASP.NETMicrosoft SQL Server Community & SamplesFacebook Developer ToolkitMost Active ProjectsRawrnopCommerce. Open Source online shop e-commerce solution.AutoPocopatterns & practices – Enterprise LibraryShweet: SharePoint 2010 Team Messaging built with PexFarseer Physics EngineNB_Store - Free DotNetNuke Ecommerce Catalog ModuleIonics Isapi Rewrite FilterBlogEngine.NETBeanProxy

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • Not Playing Nice Together

    - by David Douglass
    One of the things I’ve noticed is that two industry trends are not playing nice together, those trends being multi-core CPUs and massive hard drives.  It’s not a problem if you keep your cores busy with compute intensive work, but for software developers the beauty of multi-core CPUs (along with gobs of RAM and a 64 bit OS) is virtualization.  But when you have only one hard drive (who needs another when it holds 2 TB of data?) you wind up with a serious hard drive bottleneck.  A solid state drive would definitely help, and might even be a complete solution, but the cost is ridiculous.  Two TB of solid state storage will set you back around $7,000!  A spinning 2 TB drive is only $150. I see a couple of solutions for this.  One is the mainframe concept of near and far storage: put the stuff that will be heavily access on a solid state drive and the rest on a spinning drive.  Another solution is multiple spinning drives.  Instead of a single 2 TB drive, get four 500 GB drives.  In total, the four 500 GB drives will cost about $100 more than the single 2 TB drive.  You’ll need to be smart about what drive you place things on so that the load is spread evenly.  Another option, for better performance, would be four 10,000 RPM 300 GB drives, but that would cost about $800 more than the singe 2 TB drive and would deliver only 1.2 TB of space. All pricing based on Microcenter as of March 14, 2010.

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  • Attend my Fusion sessions

    - by Daniel Moth
    The inaugural Fusion conference was 1 year ago in June 2011 and I was there doing a demo in the keynote, and also presenting a breakout session. If you look at the abstract and title for that session you won't see the term "C++ AMP" in there because the technology wasn't announced and we didn't want to spill the beans ahead of the keynote, where the technology was announced. It was only an announcement, we did not give any bits out, and in fact the first bits came three months later in September 2011 with the Beta following in February 2012. So it really feels great 1 year later, to be back at Fusion presenting two sessions on C++ AMP, demonstrating our progress from that announcement, to the Visual Studio 2012 Release Candidate that came out last week. If you are attending Fusion (in person or virtually later), be sure to watch my two-part session. Part 1 is PT-3601 on Tuesday 4pm and part 2 is PT-3602 on Wednesday 4pm. Here is the shared abstract for both parts: Harnessing GPU Compute with C++ AMP C++ AMP is an open specification for taking advantage of accelerators like the GPU. In this session we will explore the C++ AMP implementation in Microsoft Visual Studio 2012. After a quick overview of the technology understanding its goals and its differentiation compared with other approaches, we will dive into the programming model and its modern C++ API. This is a code heavy, interactive, two-part session, where every part of the library will be explained. Demos will include showing off the richest parallel and GPU debugging story on the market, in the upcoming Visual Studio release. See you there! Comments about this post by Daniel Moth welcome at the original blog.

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  • Why is IaaS important in Azure&hellip;

    - by Steve Loethen
    Three weeks ago, Microsoft released the next phase of Azure.  I have had several clients waiting on this release.  The fact that they have been waiting and are now more receptive to looking at the cloud.  Customers expressed fear of the unknown.  And a fear of lack of control, even when that lack of control also means a huge degree of flexibility to innovate with concerns about the underlying infrastructure.  I think IaaS will be that “gateway drug” to get customers who have been hesitant to take another look at the cloud.  The dialog can change from the cloud being this big scary unknown to a resource for workloads.  The conversations should have always been, and can know be even stronger, geared toward the following points: 1) The cloud is not unicorns and glitter, the cloud is resources.  Compute, storage, db’s, services bus, cache…..  Like many of the resources we have on-premise.  Not magic, just another resource with advantages and obstacles like any other resource. 2) The cloud should be part of the conversation for any new project.  All of the same criteria should be applied, on-premise or off.  Cost, security, reliability, scalability, speed to deploy, cost of licenses, need to customize image, complex workloads.  We have been having these discussions for years when we talk about on-premise projects.  We make decisions on OS’s, Databases, ESB’s, configuration and products based on a myriad of factors.  We use the same factors but now we have a additional set of resources to consider in our process. 3) The cloud is a great solution looking for some interesting problems.  It is our job to recognize the right problems that fit into the cloud, weigh the factors and decide what to do. IaaS makes this discussion easier, offers more choices, and often choices that many enterprises will find more better than PaaS.  Looking forward to helping clients realize the power of the cloud.

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  • Oracle VM Blade Cluster Reference Configuration

    - by Ferhat Hatay
    Today we are happy to announce the availability of the Oracle VM blade cluster reference configuration for Sun Blade 6000 modular systems.  The new Oracle VM blade cluster reference configuration can help reduce the time to deploy virtual infrastructure by up to 98 percent when compared to multi-vendor configurations. Oracle's virtualization strategy is to simplify the deployment, management, and support of the enterprise stack from application to disk. The Oracle VM blade cluster reference configuration is a single-vendor solution that addresses every layer of the virtualization stack with Oracle hardware and software components. It enables quick and easy deployment of the virtualized infrastructure using components that have been tested together and are all supported together by one vendor — Oracle. All components listed in the reference configuration have been tested together by Oracle, reducing the need for customer testing and the time-consuming and complex effort of designing and deploying a stable configuration. Benefitting from pre-installed Oracle VM Server for x86 software on Oracle’s highly scalable and reliable Sun Blade servers with built-in networking and Oracle’s Sun ZFS Storage Appliance product line, the configuration provides high availability via the blade cluster as well as a documented best practice guide that helps reduce deployment time and cost for customers implementing highly virtualized applications or private cloud Infrastructure as a Service (IaaS) architectures. To further support easier, faster and lower-cost deployments, Oracle Linux, Oracle Solaris and Oracle VM are available for pre-install on select Sun x86 systems, and Oracle VM Templates are available for download for Oracle Applications, Oracle Fusion Middleware, Oracle Database, Oracle Real Application Clusters, and many other Oracle products. Key benefits of the Oracle VM blade cluster reference configuration include: Faster time to value – Begin deploying applications immediately because the optimized software stack is pre-configured for best practices and is ready-to-run on the recommended hardware platforms. Reduced deployment cost and risk – The entire hardware and software stack has been tested and is supported together by Oracle. Elastic scalability – As capacity needs grow, the system can be easily scaled in multiple dimensions with the ability to add compute, storage, and networking resources independently. For more information, see: Oracle white paper: Accelerating deployment of virtualized infrastructures with the Oracle VM blade cluster reference configuration Oracle technical white paper: Best Practices and Guidelines for Deploying the Oracle VM Blade Cluster Reference Configuration

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  • Optimize SUMMARIZE with ADDCOLUMNS in Dax #ssas #tabular #dax #powerpivot

    - by Marco Russo (SQLBI)
    If you started using DAX as a query language, you might have encountered some performance issues by using SUMMARIZE. The problem is related to the calculation you put in the SUMMARIZE, by adding what are called extension columns, which compute their value within a filter context defined by the rows considered in the group that the SUMMARIZE uses to produce each row in the output. Most of the time, for simple table expressions used in the first parameter of SUMMARIZE, you can optimize performance by removing the extended columns from the SUMMARIZE and adding them by using an ADDCOLUMNS function. In practice, instead of writing SUMMARIZE( <table>, <group_by_column>, <column_name>, <expression> ) you can write: ADDCOLUMNS(     SUMMARIZE( <table>, <group by column> ),     <column_name>, CALCULATE( <expression> ) ) The performance difference might be huge (orders of magnitude) but this optimization might produce a different semantic and in these cases it should not be used. A longer discussion of this topic is included in my Best Practices Using SUMMARIZE and ADDCOLUMNS article on SQLBI, which also include several details about the DAX syntax with extended columns. For example, did you know that you can create an extended column in SUMMARIZE and ADDCOLUMNS with the same name of existing measures? It is *not* a good thing to do, and by reading the article you will discover why. Enjoy DAX!

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  • ArchBeat Link-o-Rama for November 28, 2012

    - by Bob Rhubart
    Oracle BPM and Oracle Application Development Framework (ADF) | Dan Atwood Oracle ACE Dan Atwood shares an excerpt from "Oracle BPM and ADF (Part 1)," part of Avio Consulting's new self-paced online Oracle BPM Developer Workshop training. BPEL and Fire-and-Forget Web Services | Lonneke Dikmans Oracle ACE Director Lonneke Dikmans shares two use cases to illustrate the use of fire-and-forget web services. Backup and Recovery of an Exalogic vServer via rsync | Donald "On Exalogic a vServer will consist of a number of resources from the underlying machine," says the man known only as Donald. "These resources include compute power, networking and storage. In order to recover a vServer from a failure in the underlying rack all of these components have to be thoughts about. This article only discusses the backup and recovery strategies that apply to the storage system of a vServer." Making Architecture Matter | Harald Wesenberg and Einar Landre "As Architects, we want our architecture to matter. We want projects to implement our grand designs, one little step at a time, with each piece fitting perfectly into the big puzzle that is software architecture," say authors Harald Wesenberg and Einar Landre. "But reality is a bit trickier." Thought for the Day "A distributed system is one in which the failure of a computer you didn't even know existed can render your own computer unusable." — Leslie Lamport Source: SoftwareQuotes.com

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