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  • How are you coping with Ubuntu's Unity app launcher? (It auto-hides, can't minimize apps)

    - by Bad Learner
    [Firstly, let me tell you that this cannot be subjective in anyway, as I think at least Ubuntu beginners will have these questions boggling in their mind; and yes, this is a question that has a definite answer - - so, I am completely within the rules.] Okay, coming to the point, I see that Ubuntu uses Unity since v10.xx (netbook edition?) and carried the same to v11.04 & v11.10. As someone who's stuck to Windows for all these years, it's somewhat difficult to cope with Ubuntu's Unity, for the following reasons: [1] The Unity app launcher (to the screen's left) auto-hides when a window is maximized. [2]- And once launched, apps cannot be minimized by clicking the app's icon in the launcher. I have to go to the top-left of the screen and click the "_" button. I do know I can fix these issues by installing some configuration tool. But the thing is, if that's how it's meant to work, Canonical/Ubuntu would have designed it that way. But they didn't. Why? w.r.t above points [1], [2]: [1] EDITED: So, does it mean, it's good to work without maximizing the windows? Because if I maximize the window, the app launcher hides. And I need to hover the mouse to the left of the screen, wait a bit (even if it's a sec or even less, I can still feel the lag), and then click on the next app icon in the launcher to switch to it. I do know, I can use Alt+TAB to switch, but I am not sure which window comes next. This, I feel, isn't productive. Also, this makes me feel, Ubuntu is designed for large screens (it's nice on my 1920x1080p screen), because I can have two windows side-by-side or something like that on a large screen. This is not possible on smaller screens. [2]- Being able to minimize an application's window by clicking on its icon in the launcher (just like it works on Windows & probably elsewhere) would have been great, rather than having to go to the top-left and clicking the _ (minimize) button which brings up the app launcher itself (from hiding) most of the time. It's too tiring to have these small issues in the UI. I really would like to know how you are coping with these issues the way they are?

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  • Cyber Stalking Victims May Know Their Offenders

    Not every victim of cyber stalking is accosted by a stranger. In a surprisingly large number of cases the person being victimized may know the person who is harassing them. Many times this unwanted a... [Author: Ed Opperman - Computers and Internet - May 25, 2010]

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  • Is there a perf hit using mule as a container vs. standard JEE container like Weblogic?

    - by Victor Grazi
    Our team is considering using Mule in a large scale medium volume internal facing transactional banking application. At first Mule would just be used as an application server although it is possible some of its esb/orchestration features would be used in the future. I have no experience with mule, being new on the team. But my gut says Mule would not be as performant as Weblogic or Glassfish as a deployment container. Does anyone have any comparison stories to share that might shed light?

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  • Writing Efficient SQL: Set-Based Speed Phreakery

    Phil Factor's SQL Speed Phreak challenge is an event where coders battle to produce the fastest code to solve a common reporting problem on large data sets. It isn't that easy on the spectators, since the programmers don't score extra points for commenting their code. Mercifully, Kathi is on hand to explain some of the TSQL coding secrets that go to producing blistering performance.

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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 4

    - by MarkPearl
    Learning Outcomes Explain the characteristics of memory systems Describe the memory hierarchy Discuss cache memory principles Discuss issues relevant to cache design Describe the cache organization of the Pentium Computer Memory Systems There are key characteristics of memory… Location – internal or external Capacity – expressed in terms of bytes Unit of Transfer – the number of bits read out of or written into memory at a time Access Method – sequential, direct, random or associative From a users perspective the two most important characteristics of memory are… Capacity Performance – access time, memory cycle time, transfer rate The trade off for memory happens along three axis… Faster access time, greater cost per bit Greater capacity, smaller cost per bit Greater capacity, slower access time This leads to people using a tiered approach in their use of memory   As one goes down the hierarchy, the following occurs… Decreasing cost per bit Increasing capacity Increasing access time Decreasing frequency of access of the memory by the processor The use of two levels of memory to reduce average access time works in principle, but only if conditions 1 to 4 apply. A variety of technologies exist that allow us to accomplish this. Thus it is possible to organize data across the hierarchy such that the percentage of accesses to each successively lower level is substantially less than that of the level above. A portion of main memory can be used as a buffer to hold data temporarily that is to be read out to disk. This is sometimes referred to as a disk cache and improves performance in two ways… Disk writes are clustered. Instead of many small transfers of data, we have a few large transfers of data. This improves disk performance and minimizes processor involvement. Some data designed for write-out may be referenced by a program before the next dump to disk. In that case the data is retrieved rapidly from the software cache rather than slowly from disk. Cache Memory Principles Cache memory is substantially faster than main memory. A caching system works as follows.. When a processor attempts to read a word of memory, a check is made to see if this in in cache memory… If it is, the data is supplied, If it is not in the cache, a block of main memory, consisting of a fixed number of words is loaded to the cache. Because of the phenomenon of locality of references, when a block of data is fetched into the cache, it is likely that there will be future references to that same memory location or to other words in the block. Elements of Cache Design While there are a large number of cache implementations, there are a few basic design elements that serve to classify and differentiate cache architectures… Cache Addresses Cache Size Mapping Function Replacement Algorithm Write Policy Line Size Number of Caches Cache Addresses Almost all non-embedded processors support virtual memory. Virtual memory in essence allows a program to address memory from a logical point of view without needing to worry about the amount of physical memory available. When virtual addresses are used the designer may choose to place the cache between the MMU (memory management unit) and the processor or between the MMU and main memory. The disadvantage of virtual memory is that most virtual memory systems supply each application with the same virtual memory address space (each application sees virtual memory starting at memory address 0), which means the cache memory must be completely flushed with each application context switch or extra bits must be added to each line of the cache to identify which virtual address space the address refers to. Cache Size We would like the size of the cache to be small enough so that the overall average cost per bit is close to that of main memory alone and large enough so that the overall average access time is close to that of the cache alone. Also, larger caches are slightly slower than smaller ones. Mapping Function Because there are fewer cache lines than main memory blocks, an algorithm is needed for mapping main memory blocks into cache lines. The choice of mapping function dictates how the cache is organized. Three techniques can be used… Direct – simplest technique, maps each block of main memory into only one possible cache line Associative – Each main memory block to be loaded into any line of the cache Set Associative – exhibits the strengths of both the direct and associative approaches while reducing their disadvantages For detailed explanations of each approach – read the text book (page 148 – 154) Replacement Algorithm For associative and set associating mapping a replacement algorithm is needed to determine which of the existing blocks in the cache must be replaced by a new block. There are four common approaches… LRU (Least recently used) FIFO (First in first out) LFU (Least frequently used) Random selection Write Policy When a block resident in the cache is to be replaced, there are two cases to consider If no writes to that block have happened in the cache – discard it If a write has occurred, a process needs to be initiated where the changes in the cache are propagated back to the main memory. There are several approaches to achieve this including… Write Through – all writes to the cache are done to the main memory as well at the point of the change Write Back – when a block is replaced, all dirty bits are written back to main memory The problem is complicated when we have multiple caches, there are techniques to accommodate for this but I have not summarized them. Line Size When a block of data is retrieved and placed in the cache, not only the desired word but also some number of adjacent words are retrieved. As the block size increases from very small to larger sizes, the hit ratio will at first increase because of the principle of locality, which states that the data in the vicinity of a referenced word are likely to be referenced in the near future. As the block size increases, more useful data are brought into cache. The hit ratio will begin to decrease as the block becomes even bigger and the probability of using the newly fetched information becomes less than the probability of using the newly fetched information that has to be replaced. Two specific effects come into play… Larger blocks reduce the number of blocks that fit into a cache. Because each block fetch overwrites older cache contents, a small number of blocks results in data being overwritten shortly after they are fetched. As a block becomes larger, each additional word is farther from the requested word and therefore less likely to be needed in the near future. The relationship between block size and hit ratio is complex, and no set approach is judged to be the best in all circumstances.   Pentium 4 and ARM cache organizations The processor core consists of four major components: Fetch/decode unit – fetches program instruction in order from the L2 cache, decodes these into a series of micro-operations, and stores the results in the L2 instruction cache Out-of-order execution logic – Schedules execution of the micro-operations subject to data dependencies and resource availability – thus micro-operations may be scheduled for execution in a different order than they were fetched from the instruction stream. As time permits, this unit schedules speculative execution of micro-operations that may be required in the future Execution units – These units execute micro-operations, fetching the required data from the L1 data cache and temporarily storing results in registers Memory subsystem – This unit includes the L2 and L3 caches and the system bus, which is used to access main memory when the L1 and L2 caches have a cache miss and to access the system I/O resources

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  • Does 20,000 free downloads mean at least 500 paid sales? [closed]

    - by techno
    I have found certain shareware software products have large number of downloads. My question is if there are some 20,000 free downloads, how many of the downloaders would have actually bought and paid for this software? For Conversion sake consider the FastStone Image viewer which is actually free http://www.faststone.org/FSResizerDetail.htm but what could it earn if it was charged 30$ and about 10,000 downloads. Have any-of you have experience in selling such a product

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  • Criteria for selecting timeout value?

    - by stijn
    Situation: a piece of software reads frames of data from a file in a seperate thread and puts it on a queue, emptied by another thread. That second thread periodically checks on the queue and fails rather gracefully, by showing an error message stating the read timed out, if no data is available within a certain amount of time. Initially this timeout was set to 200mSec. There was no real reasoning behind that constant though, but it worked fine. We measured on a couple of machines and for large data frames, larger than what would be used by customers, a read took like 20mSec whith no other load on the machine. However one customer now gets timeout errors now and then (on the second try all is fine, probably the file is in cache or the virus scanner leaves it alone). The programmers are like 'well, yeah, but that customer's machine is full of cruft, virus scanners, tons of unneeded background processes etc'. Of course the customer is like 'hey this should just work, shouldn't it'? While the programers have a point, since the software is heavy enough to validate the need for a dedicated machine, that does not make the customer happy. Increasing the timeout to 2 seconds, for example, solves the problem. But I'd like to make a proper decision now instead of just randomly pick some magic constant that is probably ok in 99% of cases. What criteria should be used for that? We could just pick a large number, but that feels wrong. (and then we end up with a program that has the horrible bahaviour of hanging when trying to read from a disconnected drive for instance, whereas we'd rather make it show an error right away). Or we could make the timeout value a user setting, but then we need to ducument it clearly and even then not all customers are tech savy enough to really understand what it does. Or we could try and wait until another customer reports timeouts and increase the value again. And again. Until we find something ok for 99.99% of the cases.. Any good practice for this type of situation?

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  • Filtering GridView Table Rows using a Drop-Down List in ASP.NET 3.5

    In the real world ASP.NET 3.5 websites rely heavily on the MS SQL server database to display information to the browser. For the purposes of usability it is important that users can filter some information shown to them particularly large tables. This article will show you how to set up a program that lets users filter data with a GridView web control and a drop-down list.... SW Deployment Automation Best Practices Free Guide for IT Leaders: Overcoming Software Distribution & Mgmt Challenges.

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  • Points To Ponder While Going For A Custom Logo Design

    Every organization, whether small or large, go for designing a logo for its business. And in these days and age, with immense competition, it';s hard to get identified and build a strong brand image. ... [Author: Gisselle Gloria - Web Design and Development - October 05, 2009]

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  • Google I/O 2012 - Google Compute Engine -- Technical Details

    Google I/O 2012 - Google Compute Engine -- Technical Details Joe Beda, Evan Anderson This session will provide an in depth overview of Google Compute Engine. Google Compute provides Virtual Machines optimized for large scale data processing and analytics. We will dive into the core concepts, API, unique features and architectural best practices in the context of concrete examples. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2497 88 ratings Time: 01:01:39 More in Science & Technology

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  • Can DrawIndexedPrimitives() be used for drawing a loaded model mesh-wise?

    - by Afzal
    I am using DrawIndexedPrimitives() for drawing a loaded 3D model by drawing each mesh part, but this process makes my application very slow. This is perhaps because of a very large number of vertex/index buffer data created in video memory. That is why I am looking for a way to use the same method for each model mesh instead. The problem is that I don't know how I will set the textures of that mesh. Can anyone offer me some guidance?

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  • Why Use SEO on Your Website?

    SEO can be a time consuming, difficult and frustrating experience. Many webmasters abandon the process altogether, but there are many good reasons why you should pursue SEO for your internet website. A large amount of consumers use the internet first when attempting to find local businesses.

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  • Best Practices for High Volume CPA Import Operations with ebXML in B2B 11g

    - by Shub Lahiri, A-Team
    Background B2B 11g supports ebXML messaging protocol, where multiple CPAs can be imported via command-line utilities.  This note highlights one aspect of the best practices for import of CPA, when large numbers of CPAs in the excess of several hundreds are required to be maintained within the B2B repository. Symptoms The import of CPA usually is a 2-step process, namely creating a soa.zip file using b2bcpaimport utility based on a CPA properties file and then using b2bimport to import the b2b repository.  The commands are provided below: ant -f ant-b2b-util.xml b2bcpaimport -Dpropfile="<Path to cpp_cpa.properties>" -Dstandard=true ant -f ant-b2b-util.xml b2bimport -Dlocalfile=true -Dexportfile="<Path to soa.zip>" -Doverwrite=true Usually the first command completes fairly quickly regardless of the number of CPAs in the repository. However, as the number of trading partners within the repository goes up, the time to complete the second command could go up to ~30 secs per operation. So, this could add up to a significant amount, if there is a need to import hundreds of CPA in a production system within a limited downtime, maintenance window.  Remedy In situations, where there is a large number of entries to be imported, it is best to setup a staging environment and go through the import operation of each individual CPA in an empty repository. Since, this will be done in an empty repository, the time taken for completion should be reasonable.  After all the partner profiles have been imported, a full repository export can be taken to capture the metadata for all the entries in one file.  If this single file with all the partner entries is imported in a loaded repository, the total time taken for import of all the CPAs should see a dramatic reduction. Results Let us take a look at the numbers to see the benefit of this approach. With a pre-loaded repository of ~400 partners, the individual import time for each entry takes ~30 secs. So, if we had to import another 100 partners, the individual entries will take ~50 minutes (100 times ~30 secs). On the other hand, if we prepare the repository export file of the same 100 partners from a staging environment earlier, the import takes about ~5 mins. The total processing time for the loading of metadata, specially in a production environment, can thus be shortened by almost a factor of 10. Summary The following diagram summarizes the entire approach and process. Acknowledgements The material posted here has been compiled with the help from B2B Engineering and Product Management teams.

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  • Website Promotion With a SEO Blog

    Webmasters can make use of a SEO blog to generate a large volume of sales leads. While the concept of blogging has been popular for quite some time not many people are aware of how to utilize it to promote their online business. However, statistics reveal that an SEO blog can successfully be used to catapult your online business to success.

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  • Unix tools in business use: are they helpful?

    - by Prometheus
    Do you think knowing Unix tools like sed, awk, LaTeX, Perl give you a great edge in the business world? (e.g. being a manager) From my short reflection, the only profession that needs those sort of (plain text) tools is programming. Because even when I do creative writing, I rarely ever need it. I mean, do CEOs and executives of large corporations ever learn this kind of stuff if they were not CS major to begin with?

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  • A High Level Comparison Between Oracle and SQL Server

    Organisations often employ a number of database platforms in their information system architecture. It is not uncommon to see medium to large sized companies using three to four different RDBMS packages. Consequently the DBAs these companies look for often ... [Read Full Article]

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  • Resuming interrupted sftp transfers in Linux

    <b>Software Engineering with FOSS and Linux:</b> "It is often the case that an sftp transfer gets interrupted for one reason or another, resulting to partially transferred files. This can be annoying, especially in the case of large file transfers."

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  • Buy Remanufactured Cartridges and Save Money

    Buying remanufactured cartridges is an effective way to save money in comparison to buying original cartridges. Most people these days choose to recycle their ink cartridges and at most large compani... [Author: Kathryn Dawson - Computers and Internet - June 04, 2010]

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  • Google I/O 2012 - Knowledge-Based Application Design Patterns

    Google I/O 2012 - Knowledge-Based Application Design Patterns Shawn Simister In this talk we'll look at emerging design patterns for building web applications that take advantage of large-scale, structured data. We'll look at open datasets like Wikipedia and Freebase as well as structured markup like Schema.org and RDFa to see what new types of applications these technologies open up for developers. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 56:55 More in Science & Technology

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  • Does Mono have a place in the enterprise world?

    - by Daniel
    For enterprise windows-based solutions, .NET is the best choice sometimes. How is Mono looked at by the enterprises who have to use Linux (or rather prefer to use Linux) ? Assuming that the developers aren't a problem and they are familiar with .NET/Mono and other possible competitors such as Java. Would a medium/large company run Mono on their servers as opposite to technologies such as Java? Do you know of any such company ?

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  • Enabling a multi display desktop completely broke Gnome Shell. Help?

    - by Chintan Parikh
    I've been trying to get my dual desktops working on Ubuntu for a while. I previously had them as one large desktop, but that was incredibly slow for some reason. I tried to switch them to multi display desktop on the AMD Catalyst Control Center. Here's what I get after restarting and logging in: http://i.imgur.com/SEjgU.png I'm running an AMD Quad Core A6, AMD Radeon 6540G2 GPU, 16GB Ram. Ubuntu 12.04 Any ideas?

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  • Beginners Guide to Getting Your Website or Blog Higher in the Search Engine Rankings

    As I have said before in some of my previous articles it can be a little daunting a task to get your blog/website noticed in the large ocean of the internet but one way to get it noticed is to make people see it when they search for it in a search engine. While this is not the only way for people to see your website it is one of the most common ways in which people look for information online.

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