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  • Oracle OpenWorld 2012 konferencia 9 nap múlva kezdodik, 09.30.-10.04.

    - by user645740
    San Franciscoban nemsokára elkezdodik a 2012. évi Oracle OpenWorld konferencia:http://www.oracle.com/openworld/. Rengeteg érdekes keynote, eloadás, demó, stb található a programban. Oracle OpenWorld keynote eloadások: http://www.oracle.com/openworld/keynotes/ Az Oracle OpenWorld-ön gyakran fontos bejelentések is elhangzanak, kíváncsian várom az idei újdonságokat! Továbbra is kulcsszavak: Cloud - felho Hardware and Software, Engineered to Work Together Engineered Systems A komplexitás csökkentése Business Analytics (üzleti intelligencia és barátai nagyobb keretben) Fusion Applications

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  • Managing Regulated Content in WebCenter: USDM and Oracle Offer a New Part 11 Compliant Solution for Life Sciences

    - by Michael Snow
    Guest post today provided by Oracle partner, USDM  Regulated Content in WebCenterUSDM and Oracle offer a new Part 11 compliant solution for Life Sciences (White Paper) Life science customers now have the ability to take advantage of all of the benefits of Oracle’s WebCenter Content, a global leader in Enterprise Content Management.   For the past year, USDM has been developing best practice compliance solutions to meet regulated content management requirements for 21 CFR Part 11 in WebCenter Content. USDM has been an expert in ECM for life sciences since 1999 and in 2011, certified that WebCenter was a 21CFR Part 11 compliant content management platform (White Paper).  In addition, USDM has built Validation Accelerators Packs for WebCenter to enable life science organizations to quickly and cost effectively validate this world class solution.With the Part 11 certification, Oracle’s WebCenter now provides regulated life science organizations  the ability to manage REGULATORY content in WebCenter, as well as the ability to take advantage of ALL of the additional functionality of WebCenter, including  a complete, open, and integrated portfolio of portal, web experience management, content management and social networking technology.  Here are a few screen shot examples of Part 11 functionality included in the product: E-Sign, E-Sign Rendor, Meta Data History, Audit Trail Report, and Access Reporting. Gone are the days that life science companies have to spend millions of dollars a year to implement, maintain, and validate ECM systems that no longer meet the ever changing business and regulatory requirements.  Life science companies now have the ability to use WebCenter Content, an ECM system with a substantially lower cost of ownership and unsurpassed functionality.Oracle has been #1 in life sciences because of their ability to develop cost effective, easy-to-use, scalable solutions which help increase insight and efficiency to drive growth for their customers.  Adding a world class ECM solution to this product portfolio allows life science organizations the chance to get rid of costly ECM systems that no longer meet their needs and use WebCenter, part of the Oracle Fusion Technology stack, with their other leading enterprise applications.USDM provides:•    Expertise in Life Science ECM Business Processes•    Prebuilt Life Science Configuration in WebCenter •    Validation Accelerator Packs for WebCenterUSDM is very proud to support Oracle’s expanding commitment to Life Sciences…. For more information please contact:  [email protected] Oracle will be exhibiting at DIA 2012 in Philadelphia on June 25-27. Stop by our booth (#2825) to learn more about the advantages of a centralized ECM strategy and see the Oracle WebCenter Content solution, our 21 CFR Part 11 compliant content management platform.

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  • How to distribute a unique database already in production?

    - by JVerstry
    Let's assume a successful web spring application running on a MySql or PostGre kind of database. The traffic is becoming so high and the amount of data is becoming so big that a distributed dataase solution needs to be implemented. It is a scalability issue. Let's assume this application is using Hibernate and the data access layer is cleanly separated with DAO objects. What would be the best strategy to scale this database? Does anyone have hands on experience to share? Is it possible to minimize sharding code (Shard) in the application? Ideally, one should be able to add or remove databases easily. A failback solution is welcome too. I am not looking for you could go for sharding or you could go no sql kind of answers. I am looking for deeper answers from people with experience.

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  • Understanding the 'High Performance' meaning in Extreme Transaction Processing

    - by kyap
    Despite my previous blogs entries on SOA/BPM and Identity Management, the domain where I'm the most passionated is definitely the Extreme Transaction Processing, commonly called XTP.I came across XTP back to 2007 while I was still FMW Product Manager in EMEA. At that time Oracle acquired a company called Tangosol, which owned an unique product called Coherence that we renamed to Oracle Coherence. Beside this innovative renaming of the product, to be honest, I didn't know much about it, except being a "distributed in-memory cache for Extreme Transaction Processing"... not very helpful still.In general when people doesn't fully understand a technology or a concept, they tend to find some shortcuts, either correct or not, to justify their lack-of understanding... and of course I was part of this category of individuals. And the shortcut was "Oracle Coherence Cache helps to improve Performance". Excellent marketing slogan... but not very meaningful still. By chance I was able to get away quickly from that group in July 2007* at Thames Valley Park (UK), after I attended one of the most interesting workshops, in my 10 years career in Oracle, delivered by Brian Oliver. The biggest mistake I made was to assume that performance improvement with Coherence was related to the response time. Which can be considered as legitimus at that time, because after-all caches help to reduce latency on cached data access, hence reduce the response-time. But like all caches, you need to define caching and expiration policies, thinking about the cache-missed strategy, and most of the time you have to re-write partially your application in order to work with the cache. At a result, the expected benefit vanishes... so, not very useful then?The key mistake I made was my perception or obsession on how performance improvement should be driven, but I strongly believe this is still a common problem to most of the developers. In fact we all know the that the performance of a system is generally presented by the Capacity (or Throughput), with the 2 important dimensions Speed (response-time) and Volume (load) :Capacity (TPS) = Volume (T) / Speed (S)To increase the Capacity, we can either reduce the Speed(in terms of response-time), or to increase the Volume. However we tend to only focus on reducing the Speed dimension, perhaps it is more concrete and tangible to measure, and nicer to present to our management because there's a direct impact onto the end-users experience. On the other hand, we assume the Volume can be addressed by the underlying hardware or software stack, so if we need more capacity (scale out), we just add more hardware or software. Unfortunately, the reality proves that IT is never as ideal as we assume...The challenge with Speed improvement approach is that it is generally difficult and costly to make things already fast... faster. And by adding Coherence will not necessarily help either. Even though we manage to do so, the Capacity can not increase forever because... the Speed can be influenced by the Volume. For all system, we always have a performance illustration as follow: In all traditional system, the increase of Volume (Transaction) will also increase the Speed (Response-Time) as some point. The reason is simple: most of the time the Application logics were not designed to scale. As an example, if you have a while-loop in your application, it is natural to conceive that parsing 200 entries will require double execution-time compared to 100 entries. If you need to "Speed-up" the execution, you can only upgrade your hardware (scale-up) with faster CPU and/or network to reduce network latency. It is technically limited and economically inefficient. And this is exactly where XTP and Coherence kick in. The primary objective of XTP is about designing applications which can scale-out for increasing the Volume, by applying coding techniques to keep the execution-time as constant as possible, independently of the number of runtime data being manipulated. It is actually not just about having an application running as fast as possible, but about having a much more predictable system, with constant response-time and linearly scale, so we can easily increase throughput by adding more hardwares in parallel. It is in general combined with the Low Latency Programming model, where we tried to optimize the network usage as much as possible, either from the programmatic angle (less network-hoops to complete a task), and/or from a hardware angle (faster network equipments). In this picture, Oracle Coherence can be considered as software-level XTP enabler, via the Distributed-Cache because it can guarantee: - Constant Data Objects access time, independently from the number of Objects and the Coherence Cluster size - Data Objects Distribution by Affinity for in-memory data grouping - In-place Data Processing for parallel executionTo summarize, Oracle Coherence is indeed useful to improve your application performance, just not in the way we commonly think. It's not about the Speed itself, but about the overall Capacity with Extreme Load while keeping consistant Speed. In the future I will keep adding new blog entries around this topic, with some sample codes experiences sharing that I capture in the last few years. In the meanwhile if you want to know more how Oracle Coherence, I strongly suggest you to start with checking how our worldwide customers are using Oracle Coherence first, then you can start playing with the product through our tutorial.Have Fun !

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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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  • " this kernel required an X86-64 CPU, but only detected a i686 CPU"

    - by jy19
    I recently decided to use Virtualbox to run Ubuntu, but I get the message this kernel required an X86-64 CPU, but only detected a i686 CPU I've already enabled virtualization in BIOS, but that doesn't seem to work. Many other solutions suggest that I should download the 32-bit version, and not the 64-bit. I'm not sure about that though, since my computer clearly says "64-bit operating system" under systems. But I might just be mistaken.

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  • SEO For Ecommerce Sites

    Ecommerce is a fancy name for just about any business that can be conducted via the internet or other computer systems. The global internet explosion has changed the face of the ecommerce industry for good, increasing both potential profits and the ferocity of competition across virtually every consumer market.

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  • Load balancing on Ubuntu Server

    - by SabreWolfy
    I have Ubuntu 10.04.4 server (32-bit) installed on a headless quad-core machine with 2GB RAM. I'm running a command-line analysis which is analyzing a large amount of data, but which does not require a large amount of RAM. The tool does not provide any multi-threading, so the CPU load is sitting at 1.00 (or sometimes just a little over). I ran top and pressed 1 to see the load on each of the cores and noticed that "Cpu1" is always running at 100%. I thought that the load would be distributed between the cores, rather than loading one core all the time. I'm sure I've seen this load-balancing behaviour before in Ubuntu or Debian Desktop versions. Why would the Server edition work differently? The analysis will likely take several hours to run, so loading one core at 100% for many hours while the other 3 remain idle is surely not the best approach?

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  • How to encourage version control adoption

    - by Man Wa kileleshwa
    I have recently started working in a team where there is no version control. Most of the team members are not used to any kind of version control. I've been using mercurial privately to track my work. I would like to encourage others to adopt it, and at the very least start to version their code as they develop changes. Can anyone give me advice on how I can encourage adoption of a distributed version control such as mercurial. Any advice on how to win people including managers to DVCS would be much appreciated.

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  • Maximizing the Value of Software

    - by David Dorf
    A few years ago we decided to increase our investments in documenting retail processes and architectures.  There were several goals but the main two were to help retailers maximize the value they derive from our software and help system integrators implement our software faster.  The sale is only part of our success metric -- its actually more important that the customer realize the benefits of the software.  That's when we actually celebrate. This week many of our customers are gathered in Chicago to discuss their successes during our annual Crosstalk conference.  That provides the perfect forum to announce the release of the Oracle Retail Reference Library.  The RRL is available for free to Oracle Retail customers and partners.  It contains 1000s of hours of work and represents years of experience in the retail industry.  The Retail Reference Library is composed of three offerings: Retail Reference Model We've been sharing the RRM for several years now, with lots of accolades.  The RRM is a set of business process diagrams at varying levels of granularity. This release marks the debut of Visio documents, which should make it easier for retailers to adopt and edit the diagrams.  The processes represent an approximation of the Oracle Retail software, but at higher levels they are pretty generic and therefore usable with other software as well.  Using these processes, the business and IT are better able to communicate the expectations of the software.  They can be used to guide customization when necessary, and help identify areas for optimization in the organization. Retail Reference Architecture When embarking on a software implementation project, it can be daunting to start from a blank sheet of paper.  So we offer the RRA, a comprehensive set of documents that describe the retail enterprise in terms of logical architecture, physical deployments, and systems integration.  These documents and diagrams describe how all the systems typically found in a retailer enterprise work together.  They serve as a way to jump-start implementations using best practices we've captured over the years. Retail Semantic Glossary Have you ever seen two people argue over something because they're using misaligned terminology?  Its a huge waste and happens all the time.  The Retail Semantic Glossary is a simple application that allows retailers to define terms and metrics in a centralized database.  This initial version comes with limited content with the goal of adding more over subsequent releases.  This is the single source for defining key performance indicators, metrics, algorithms, and terms so that the retail organization speaks in a consistent language. These three offerings are downloaded from MyOracleSupport separately and linked together using the start page above.  Everything is navigated using a Web browser.  See the Oracle Retail Documentation blog for more details.

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  • This Week on the Green Data Center Management Front

    Among the big news this week for those looking to make their data center more environmentally friendly: Two IBM POWER7-based servers become the first four-processor systems in the industry to qualify for Energy Star status; NetApp announces plans to have execs, and other on hand to discuss green computing at SNW Spring 2010; and the feds are examining how cloud will save money and energy.

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  • Enable Seamless Transformation and Effective Adoption of Change with Oracle User Productivity Kit

    Organizations go through continuous transformation and change - whether it is through mergers and acquisitions, standardizations of systems, a rollout of a new application or business process improvements. With Oracle User Productivity Kit, project teams can capture and deploy best practices to streamline efficiency, reduce cost, and ensure successful change adoption. Discover how organizations can leverage the multiple outputs of Oracle UPK for all phases of the project from blueprinting/design/configuration to testing/training/go-live as well as maintenance and support.

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  • Les risques du Cloud sont plus importants que ses avantages, pour les responsables IT interrogés par

    Mise à jour du 08/04/10 [Les commentaires sur cette mise à jour commencent ici] Les risques du Cloud Computing sont plus grands que ses avantages Pour les responsables IT interrogés par l'ISACA Près de la moitié (45%) des responsables IT interrogés dans une étude de l'ISACA (la Information Systems Audit and Control Association) considèrent que les risques liés au Cloud Computing sont plus importants que ses avantages, 38% pensent que risques et bénéfices s'équilibrent, et seulement 12% pensent que...

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  • XSIGO Product Training Now Available

    - by Cinzia Mascanzoni
    Xsigo Sales and Pre-Sales training is available via iLearning for partners registered in OPN Server and Storage Systems Knowledge Zones. The recommended online training sessions provide sales training solutions that equip partners with the product knowledge, market knowledge and selling strategies to help achieve their revenue targets. Partners are invited to learn more here: Sales Training: Product Essentials For Sales - Oracle Virtual Networking Pre-Sales Training and Product Essentials For Sales Consultants - Oracle Virtual Networking.

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  • What makes Erlang suitable for cloud applications?

    - by Duncan
    We are starting a new project and implementing on our corporations's instantiation of an openstack cloud (see http://www.openstack.org/). The project is security tooling for our corporation. We currently run many hundreds of dedicated servers for security tools and are moving them to our corporations instantiation of openstack. Other projects in my company currently use erlang in several distributed server applications, and other Q/A point out erlang is used in several popular cloud services. I am trying to convince others to consider where it might be applicable on our project. What are erlang's strengths for cloud programming? Where are areas it is particularly appropriate to use erlang?

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  • Implementation of a Rules Engine in Your Business Applicaitons

    - by enonu
    I'm for an experience driven answer from a few software engineers who have implemented a rules engine in their internal business applications. How has it affected your business in the following ways: Ability to launch and iterate over business driven logic Ability to have "business users" perform the actual modification of those rules rather than developers. Ability to comprehend the business rules in general. Quality of the software releases. More or less bugs from the end-user's POV? Speed of the applications. If you had to do it all over again, what would you do differently? Lastly, I'm looking for a qualification of your answer w/ respect to the architecture. Would you do the same thing if you were deploying to a 1-machine setup vs. your architecture vs. a multi-tier cloud-based distributed architecture using 1000s of machines? How would it be different? Thanks!

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  • Well-tested libraries for player ratings?

    - by Lucky
    It's common in games to implement some sort of numerical ranking system -- the ELO system is usually used in chess. I could implement this system naively using Wikipedia's descriptions, but I suspect that this would open up a whole box of problems that have already been solved: rating inflation, etc -- for instance, the ELO system has a K constant that's 'fudged' according to rating, duration, pairings, statistics, ... What are some libraries (I'm looking at Python, but anything is okay) that implements rating systems? It also doesn't have to be ELO.

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  • Change Management and Source Control

    So, given the many good reasons for using Version Control systems for managing the changes in database applications, how does one go about the rather different routines of team development, such as testing, continuous integration, and managing data? What are the issues that you're likely to face? The Future of SQL Server Monitoring "Being web-based, SQL Monitor 2.0 enables you to check on your servers from almost any location" Jonathan Allen.Try SQL Monitor now.

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  • How do I compile & install the newest version of Transmission?

    - by Codemonkey
    I'm trying to install Transmission 2.51 on Ubuntu 10.04. Compiling the source goes fine, but I can't seem to get it to compile the GUI as well. This is the configure output: Configuration: Source code location: . Compiler: g++ Build libtransmission: yes * optimized for low-resource systems: no * µTP enabled: yes Build Command-Line client: yes Build GTK+ client: no (GTK+ none) * libappindicator for an Ubuntu-style tray: no Build Daemon: yes Build Mac client: no How do I get it to build the GTK+ client?

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  • Does Agile (scrum) require one server environment?

    - by Matt W
    Is it necessary/recommend/best practice/any other positive to use only one server environment to perform all development, unit testing and QA? If so, is it then wise/part of Agile to then have only one staging environment before Live? Considering that this could mean internationally distributed teams of developers and testers in different time zones is this wise? This is something being implemented by our QA manager. The opinion put forward is that doing all the dev and testing on a single server is "Agile." The staging environment would be a second environment, and then live.

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