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  • Why such a dramatic difference in wireless router max. simultaneous connections?

    - by Jez
    Recently, I've needed to look into buying a wireless router for a mission-critical system at work that will need to support quite a few simultaneous connections (potentially a few hundred laptops). One thing I've noticed is that there seems to be a dramatic difference between the max. simultaneous connections different routers can support; see this page for example - anything from 32 to 35,000! Why is there this degree of difference? You'd have thought that if we know how to make routers that can handle thousands of connections, we wouldn't be making stuff that's limited to a pathetic 32 anymore. Is it a firmware thing? A hardware thing? Are low-end manufacturers purposely putting low arbitrary connection limits in so people can be "encouraged" to pay more for high-end routers?

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  • parse/collator for php

    - by dramatic
    I'm pretty much a newbie at php (at the "install an app and try to tweak it a bit" stage). Is there a tool anywhere which can take a script which is spread over many files and show you all the code which is processed (for a given set of arguments passed to the script) in a single output? For example, I want to make a call to zen cart from a script in a different language, which returns a category listing without any surrounding page. So I want to be able to trace what the actual process is to generate that then strip off all the unwanted bits to create a custom script.

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  • How to make custom join query with Django ?

    - by xRobot
    I have these 2 models: genre = ( ('D', 'Dramatic'), ('T', 'Thriller'), ('L', 'Love'), ) class Book(models.Model): title = models.CharField(max_length=100) genre = models.CharField(max_length=1, choices=genre) class Author(models.Model): user = models.ForeignKey(User, unique=True) born = models.DateTimeField('born') book = models.ForeignKey(Book) I need to retrieve first_name and last_name of all authors of dramatic's books. How can I do this in django ?

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  • Master-slave vs. peer-to-peer archictecture: benefits and problems

    - by Ashok_Ora
    Normal 0 false false false EN-US X-NONE X-NONE Almost two decades ago, I was a member of a database development team that introduced adaptive locking. Locking, the most popular concurrency control technique in database systems, is pessimistic. Locking ensures that two or more conflicting operations on the same data item don’t “trample” on each other’s toes, resulting in data corruption. In a nutshell, here’s the issue we were trying to address. In everyday life, traffic lights serve the same purpose. They ensure that traffic flows smoothly and when everyone follows the rules, there are no accidents at intersections. As I mentioned earlier, the problem with typical locking protocols is that they are pessimistic. Regardless of whether there is another conflicting operation in the system or not, you have to hold a lock! Acquiring and releasing locks can be quite expensive, depending on how many objects the transaction touches. Every transaction has to pay this penalty. To use the earlier traffic light analogy, if you have ever waited at a red light in the middle of nowhere with no one on the road, wondering why you need to wait when there’s clearly no danger of a collision, you know what I mean. The adaptive locking scheme that we invented was able to minimize the number of locks that a transaction held, by detecting whether there were one or more transactions that needed conflicting eyou could get by without holding any lock at all. In many “well-behaved” workloads, there are few conflicts, so this optimization is a huge win. If, on the other hand, there are many concurrent, conflicting requests, the algorithm gracefully degrades to the “normal” behavior with minimal cost. We were able to reduce the number of lock requests per TPC-B transaction from 178 requests down to 2! Wow! This is a dramatic improvement in concurrency as well as transaction latency. The lesson from this exercise was that if you can identify the common scenario and optimize for that case so that only the uncommon scenarios are more expensive, you can make dramatic improvements in performance without sacrificing correctness. So how does this relate to the architecture and design of some of the modern NoSQL systems? NoSQL systems can be broadly classified as master-slave sharded, or peer-to-peer sharded systems. NoSQL systems with a peer-to-peer architecture have an interesting way of handling changes. Whenever an item is changed, the client (or an intermediary) propagates the changes synchronously or asynchronously to multiple copies (for availability) of the data. Since the change can be propagated asynchronously, during some interval in time, it will be the case that some copies have received the update, and others haven’t. What happens if someone tries to read the item during this interval? The client in a peer-to-peer system will fetch the same item from multiple copies and compare them to each other. If they’re all the same, then every copy that was queried has the same (and up-to-date) value of the data item, so all’s good. If not, then the system provides a mechanism to reconcile the discrepancy and to update stale copies. So what’s the problem with this? There are two major issues: First, IT’S HORRIBLY PESSIMISTIC because, in the common case, it is unlikely that the same data item will be updated and read from different locations at around the same time! For every read operation, you have to read from multiple copies. That’s a pretty expensive, especially if the data are stored in multiple geographically separate locations and network latencies are high. Second, if the copies are not all the same, the application has to reconcile the differences and propagate the correct value to the out-dated copies. This means that the application program has to handle discrepancies in the different versions of the data item and resolve the issue (which can further add to cost and operation latency). Resolving discrepancies is only one part of the problem. What if the same data item was updated independently on two different nodes (copies)? In that case, due to the asynchronous nature of change propagation, you might land up with different versions of the data item in different copies. In this case, the application program also has to resolve conflicts and then propagate the correct value to the copies that are out-dated or have incorrect versions. This can get really complicated. My hunch is that there are many peer-to-peer-based applications that don’t handle this correctly, and worse, don’t even know it. Imagine have 100s of millions of records in your database – how can you tell whether a particular data item is incorrect or out of date? And what price are you willing to pay for ensuring that the data can be trusted? Multiple network messages per read request? Discrepancy and conflict resolution logic in the application, and potentially, additional messages? All this overhead, when all you were trying to do was to read a data item. Wouldn’t it be simpler to avoid this problem in the first place? Master-slave architectures like the Oracle NoSQL Database handles this very elegantly. A change to a data item is always sent to the master copy. Consequently, the master copy always has the most current and authoritative version of the data item. The master is also responsible for propagating the change to the other copies (for availability and read scalability). Client drivers are aware of master copies and replicas, and client drivers are also aware of the “currency” of a replica. In other words, each NoSQL Database client knows how stale a replica is. This vastly simplifies the job of the application developer. If the application needs the most current version of the data item, the client driver will automatically route the request to the master copy. If the application is willing to tolerate some staleness of data (e.g. a version that is no more than 1 second out of date), the client can easily determine which replica (or set of replicas) can satisfy the request, and route the request to the most efficient copy. This results in a dramatic simplification in application logic and also minimizes network requests (the driver will only send the request to exactl the right replica, not many). So, back to my original point. A well designed and well architected system minimizes or eliminates unnecessary overhead and avoids pessimistic algorithms wherever possible in order to deliver a highly efficient and high performance system. If you’ve every programmed an Oracle NoSQL Database application, you’ll know the difference! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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  • StarterSTS v1.5 CTP

    - by Your DisplayName here!
    I just uploaded a new version of StarterSTS to Codeplex. There have been some dramatic changes since the last public version, so any feedback would be appreciated. This new version is now a .NET 4.0 web application project, and includes all the necessary plumbing and configuration to deploy StarterSTS to Azure. In fact it is just a configuration change to choose between the Azure and on-premise version. Download: http://startersts.codeplex.com/releases/view/52214 More info: Moving StarterSTS to the (Azure) Cloud

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  • Download the Spectacular Skies Theme for Windows 7

    - by Asian Angel
    Freshening up the scenery on your desktop every so often can help make the time spent in front of your computer more pleasant. Today’s featured theme will add a dramatic look to your desktop with a terrific set of Spectacular Skies wallpapers. The theme comes with eleven images featuring the awesome, eye-catching photography of Marco Muller. Download the Spectacular Skies Theme [via Softpedia] How Hackers Can Disguise Malicious Programs With Fake File Extensions Can Dust Actually Damage My Computer? What To Do If You Get a Virus on Your Computer

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  • Title Tag Optimization For SEO - (Search Engine Optimization)

    In this article we have discussed the importance of the title tag in search engine optimization and further we have discussed important techniques for the title tag optimization that can get good results for search engine optimization. Title tag optimization can play a dramatic role in increasing the ranking of a web page in search engine results pages.

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  • Search Engine Optimization - The Five Factors Search Engines Use to Rank Websites

    At the end of the day, SEO requires a lot of extremely specialized knowledge, time, and attention - on an ongoing basis. But because a SEO effort can give a website's rankings a dramatic boost in the search results - and there is a significant connection between search engine ranking and search referral traffic - it is well worth doing whatever it takes to develop the knowledge and to be able to invest the time and attention.

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  • Search Engine Optimization - The Five Factors Search Engines Use to Rank Websites

    At the end of the day, SEO requires a lot of extremely specialized knowledge, time, and attention - on an ongoing basis. But because a SEO effort can give a website's rankings a dramatic boost in the search results - and there is a significant connection between search engine ranking and search referral traffic - it is well worth doing whatever it takes to develop the knowledge and to be able to invest the time and attention.

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  • GZipped Images - Is It Worth?

    - by charlie
    Most image formats are already compressed. But in fact, if I take an image and compress it [gzipping it], and then I compare the compressed one to the uncompressed one, there is a difference in size, even though not such a dramatic difference. The question is: is it worth gzipping images? the content size flushed down to the client's browser will be smaller, but there will be some client overhead when de-gzipping it. Please advise.

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  • Why There is More to a Keyphrase Than Traffic Volumes

    Analysing and selecting keyphrases is an often overlooked aspect of search engine optimisation that can make a dramatic difference to how profitable a business will prove to be online. A well selected set of keyphrases will ensure not only that a reasonable quantity of traffic makes it to your website, but more importantly that you are able to convert that traffic into sales.

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  • Dropped impression 25 days after restructure

    - by Hamid
    Our website is a non English property related website (moshaver.com) which is similar to rightmove.co.uk. On September 2012 our website was adversely affected by Panda causing our Google incoming clicks to drop from around 3000 clicks to less than a thousand. We were hoping that Google will eventually realize that we are not a spam website and things will get better. However, in August 2013 we were almost sure that we needed to do something, so we started to restructure our web content. We used the canonical tag to remove our search results and point to our listing pages, using the noindex tag to remove it from our listing pages which does not have any properties at the moment. We also changed title tags to more friendly ones, in addition to other changes. Our changes were effective on 10th August. As shown in the graph taken from Google Analytics Search Engine Optimization section, these changes has resulted in an increase in the number of times Google displayed our results in its search results. Our impressions almost doubled starting 15th August. However, as the graph shows, our CTR dropped from this date from around 15% to 8%. This might have been because of our changed title tags (so people were less likely to click on them), or it might be normal for increased impressions. This situation has continued up until 10th September, when our impressions decreased dramatically to less than a thousand. This is almost 30% of our original impressions (before website restructure) and 15% of the new impressions. At the same time our impressions has increased dramatically to around 50%. I have two theories for this increase. The first one is that these statistics are less accurate for lower impressions. The second one is that Google is now only displaying our results for queries directly related to our website (our name, our url), and not for general terms, such as "apartments in a specific city". The second theory also explains the dramatic decrease in impression as well. After digging the analytic data a little more, I constructed the following table. It displays the breakdown of our impressions, clicks and ctr in different Google products (web and image) and in total. What I understand from this table is that, most of our increased impressions after restructure were on the image search section. I don't think users of search would be looking for content in our website. Furthermore, it shows that the drop in our web search ctr, is as dramatic of the overall ctr (-30% in compare to -60%) . I thought posting it here might help you understand the situation better. Is it possible that Google has tested our new structure for 25 days, and then decided to decrease our impressions because of the the new low CTR? Or should we look for another factor? If this is the case, how long does it usually take for Google to give us another chance? It has been one month since our impressions has dropped.

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  • On the fly volume compression (waveform capping) for VLC or OS X

    - by Grammar Nazi
    I'm looking to impose a hard limit on a movie. In particular when I have earbuds in and a reasonable volume set, loud or sudden sounds (gun shot, dramatic sound effects, gun fire, etc) are loud enough to hurt. Lowering the volume makes speech and other sounds hard to hear. Is there a third party on-the-fly solution for this, or a plug-in for VLC that I can use?

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  • Oracle Business Intelligence integration with Oracle Open Office

    - by Harald Behnke
    A highlight of the latest Oracle Office product launches are the first Oracle application connectors introduced with Oracle Open Office 3.3. The Oracle Open Office Connector for Oracle Business Intelligence perfectly demonstrates the advantages of enterprise and office productivity software engineered to work together. The connector enables you to access and run Oracle Business Intelligence Enterprise Edition requests directly within Oracle Open Office. The refreshable requests leverage not only native Open Office functionality but also the scalability and performance of the Oracle Oracle Business Intelligence server (R10.x). The requests reference a single source of information as defined in the Oracle Business Intelligence server data thus ensuring consistent information across the enterprise. See how it works in the demo video: Beyond the dramatic license cost savings for Oracle Business Intelligence customers using Oracle Open Office, the joint engineering efforts result in usability and efficiency benefits not available with Microsoft Office: Import styles and conditional formats defined in Business Intelligence answersApply customized styles, direct or conditional formats to Oracle Business Intelligence data - all changes are preserved during refreshChange chart properties for Oracle Open Office charts - all changes are preserved during refresh Read more about the Oracle Open Office enterprise features.

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  • Protect Data and Save Money? Learn How Best-in-Class Organizations do Both

    - by roxana.bradescu
    Databases contain nearly two-thirds of the sensitive information that must be protected as part of any organization's overall approach to security, risk management, and compliance. Solutions for protecting data housed in databases vary from encrypting data at the application level to defense-in-depth protection of the database itself. So is there a difference? Absolutely! According to new research from the Aberdeen Group, Best-in-Class organizations experience fewer data breaches and audit deficiencies - at lower cost -- by deploying database security solutions. And the results are dramatic: Aberdeen found that organizations encrypting data within their databases achieved 30% fewer data breaches and 15% greater audit efficiency with 34% less total cost when compared to organizations encrypting data within applications. Join us for a live webcast with Derek Brink, Vice President and Research Fellow at the Aberdeen Group, next week to learn how your organization can become Best-in-Class.

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