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  • how to do automatic backup of running vmware virtual machine?

    - by Radek
    I want to do regular automatic backup of my vmware virtual machine (16GB big, Windows XP) that is running I do not have an access to ESX admin. I can ask our admin to set up something in the admin area but I do not have access for myself. I have installed few programs that are important to me so I want to have working backup at any point of time. Note: I know I can copy all the files when the virtual machine is not up and running.

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  • Auto DOP and Concurrency

    - by jean-pierre.dijcks
    After spending some time in the cloud, I figured it is time to come down to earth and start discussing some of the new Auto DOP features some more. As Database Machines (the v2 machine runs Oracle Database 11.2) are effectively selling like hotcakes, it makes some sense to talk about the new parallel features in more detail. For basic understanding make sure you have read the initial post. The focus there is on Auto DOP and queuing, which is to some extend the focus here. But now I want to discuss the concurrency a little and explain some of the relevant parameters and their impact, specifically in a situation with concurrency on the system. The goal of Auto DOP The idea behind calculating the Automatic Degree of Parallelism is to find the highest possible DOP (ideal DOP) that still scales. In other words, if we were to increase the DOP even more  above a certain DOP we would see a tailing off of the performance curve and the resource cost / performance would become less optimal. Therefore the ideal DOP is the best resource/performance point for that statement. The goal of Queuing On a normal production system we should see statements running concurrently. On a Database Machine we typically see high concurrency rates, so we need to find a way to deal with both high DOP’s and high concurrency. Queuing is intended to make sure we Don’t throttle down a DOP because other statements are running on the system Stay within the physical limits of a system’s processing power Instead of making statements go at a lower DOP we queue them to make sure they will get all the resources they want to run efficiently without trashing the system. The theory – and hopefully – practice is that by giving a statement the optimal DOP the sum of all statements runs faster with queuing than without queuing. Increasing the Number of Potential Parallel Statements To determine how many statements we will consider running in parallel a single parameter should be looked at. That parameter is called PARALLEL_MIN_TIME_THRESHOLD. The default value is set to 10 seconds. So far there is nothing new here…, but do realize that anything serial (e.g. that stays under the threshold) goes straight into processing as is not considered in the rest of this post. Now, if you have a system where you have two groups of queries, serial short running and potentially parallel long running ones, you may want to worry only about the long running ones with this parallel statement threshold. As an example, lets assume the short running stuff runs on average between 1 and 15 seconds in serial (and the business is quite happy with that). The long running stuff is in the realm of 1 – 5 minutes. It might be a good choice to set the threshold to somewhere north of 30 seconds. That way the short running queries all run serial as they do today (if it ain’t broken, don’t fix it) and allows the long running ones to be evaluated for (higher degrees of) parallelism. This makes sense because the longer running ones are (at least in theory) more interesting to unleash a parallel processing model on and the benefits of running these in parallel are much more significant (again, that is mostly the case). Setting a Maximum DOP for a Statement Now that you know how to control how many of your statements are considered to run in parallel, lets talk about the specific degree of any given statement that will be evaluated. As the initial post describes this is controlled by PARALLEL_DEGREE_LIMIT. This parameter controls the degree on the entire cluster and by default it is CPU (meaning it equals Default DOP). For the sake of an example, let’s say our Default DOP is 32. Looking at our 5 minute queries from the previous paragraph, the limit to 32 means that none of the statements that are evaluated for Auto DOP ever runs at more than DOP of 32. Concurrently Running a High DOP A basic assumption about running high DOP statements at high concurrency is that you at some point in time (and this is true on any parallel processing platform!) will run into a resource limitation. And yes, you can then buy more hardware (e.g. expand the Database Machine in Oracle’s case), but that is not the point of this post… The goal is to find a balance between the highest possible DOP for each statement and the number of statements running concurrently, but with an emphasis on running each statement at that highest efficiency DOP. The PARALLEL_SERVER_TARGET parameter is the all important concurrency slider here. Setting this parameter to a higher number means more statements get to run at their maximum parallel degree before queuing kicks in.  PARALLEL_SERVER_TARGET is set per instance (so needs to be set to the same value on all 8 nodes in a full rack Database Machine). Just as a side note, this parameter is set in processes, not in DOP, which equates to 4* Default DOP (2 processes for a DOP, default value is 2 * Default DOP, hence a default of 4 * Default DOP). Let’s say we have PARALLEL_SERVER_TARGET set to 128. With our limit set to 32 (the default) we are able to run 4 statements concurrently at the highest DOP possible on this system before we start queuing. If these 4 statements are running, any next statement will be queued. To run a system at high concurrency the PARALLEL_SERVER_TARGET should be raised from its default to be much closer (start with 60% or so) to PARALLEL_MAX_SERVERS. By using both PARALLEL_SERVER_TARGET and PARALLEL_DEGREE_LIMIT you can control easily how many statements run concurrently at good DOPs without excessive queuing. Because each workload is a little different, it makes sense to plan ahead and look at these parameters and set these based on your requirements.

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  • Is dual-booting an OS more or less secure than running a virtual machine?

    - by Mark
    I run two operating systems on two separate disk partitions on the same physical machine (a modern MacBook Pro). In order to isolate them from each other, I've taken the following steps: Configured /etc/fstab with ro,noauto (read-only, no auto-mount) Fully encrypted each partition with a separate encryption key (committed to memory) Let's assume that a virus infects my first partition unbeknownst to me. I log out of the first partition (which encrypts the volume), and then turn off the machine to clear the RAM. I then un-encrypt and boot into the second partition. Can I be reasonably confident that the virus has not / cannot infect both partitions, or am I playing with fire here? I realize that MBPs don't ship with a TPM, so a boot-loader infection going unnoticed is still a theoretical possibility. However, this risk seems about equal to the risk of the VMWare/VirtualBox Hypervisor being exploited when running a guest OS, especially since the MBP line uses UEFI instead of BIOS. This leads to my question: is the dual-partitioning approach outlined above more or less secure than using a Virtual Machine for isolation of services? Would that change if my computer had a TPM installed? Background: Note that I am of course taking all the usual additional precautions, such as checking for OS software updates daily, not logging in as an Admin user unless absolutely necessary, running real-time antivirus programs on both partitions, running a host-based firewall, monitoring outgoing network connections, etc. My question is really a public check to see if I'm overlooking anything here and try to figure out if my dual-boot scheme actually is more secure than the Virtual Machine route. Most importantly, I'm just looking to learn more about security issues. EDIT #1: As pointed out in the comments, the scenario is a bit on the paranoid side for my particular use-case. But think about people who may be in corporate or government settings and are considering using a Virtual Machine to run services or applications that are considered "high risk". Are they better off using a VM or a dual-boot scenario as I outlined? An answer that effectively weighs any pros/cons to that trade-off is what I'm really looking for in an answer to this post. EDIT #2: This question was partially fueled by debate about whether a Virtual Machine actually protects a host OS at all. Personally, I think it does, but consider this quote from Theo de Raadt on the OpenBSD mailing list: x86 virtualization is about basically placing another nearly full kernel, full of new bugs, on top of a nasty x86 architecture which barely has correct page protection. Then running your operating system on the other side of this brand new pile of shit. You are absolutely deluded, if not stupid, if you think that a worldwide collection of software engineers who can't write operating systems or applications without security holes, can then turn around and suddenly write virtualization layers without security holes. -http://kerneltrap.org/OpenBSD/Virtualization_Security By quoting Theo's argument, I'm not endorsing it. I'm simply pointing out that there are multiple perspectives here, so I'm trying to find out more about the issue.

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  • Can't ping from Win7 running on an MacBook Pro and Can't ping MacBook Pro from any other PC

    - by jorame
    I have Windows 7 Enterprise running on MacBook Pro and for some reason I'm not able to ping any PC in the house from it and the other way around meaning I can't ping the MacBook Pro running Win7 from any other PC. I looked online but I can't find anything that explains this issue or how to resolve it. Any help will be really appreciated. Please do let me know if I'm posting this in the wrong area. Thank you

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  • Oracle's Global Single Schema

    - by david.butler(at)oracle.com
    Maximizing business process efficiencies in a heterogeneous environment is very difficult. The difficulty stems from the fact that the various applications across the Information Technology (IT) landscape employ different integration standards, different message passing strategies, and different workflow engines. Vendors such as Oracle and others are delivering tools to help IT organizations manage the complexities introduced by these differences. But the one remaining intractable problem impacting efficient operations is the fact that these applications have different definitions for the same business data. Business data is your business information codified for computer programs to use. A good data model will represent the way your organization does business. The computer applications your organization deploys to improve operational efficiency are built to operate on the business data organized into this schema.  If the schema does not represent how you do business, the applications on that schema cannot provide the features you need to achieve the desired efficiencies. Business processes span these applications. Data problems break these processes rendering them far less efficient than they need to be to achieve organization goals. Thus, the expected return on the investment in these applications is never realized. The success of all business processes depends on the availability of accurate master data.  Clearly, the solution to this problem is to consolidate all the master data an organization uses to run its business. Then clean it up, augment it, govern it, and connect it back to the applications that need it. Until now, this obvious solution has been difficult to achieve because no one had defined a data model sufficiently broad, deep and flexible enough to support transaction processing on all key business entities and serve as a master superset to all other operational data models deployed in heterogeneous IT environments. Today, the situation has changed. Oracle has created an operational data model (aka schema) that can support accurate and consistent master data across heterogeneous IT systems. This is foundational for providing a way to consolidate and integrate master data without having to replace investments in existing applications. This Global Single Schema (GSS) represents a revolutionary breakthrough that allows for true master data consolidation. Oracle has deep knowledge of applications dating back to the early 1990s.  It developed applications in the areas of Supply Chain Management (SCM), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Human Capital Management (HCM), Financials and Manufacturing. In addition, Oracle applications were delivered for key industries such as Communications, Financial Services, Retail, Public Sector, High Tech Manufacturing (HTM) and more. Expertise in all these areas drove requirements for GSS. The following figure illustrates Oracle's unique position that enabled the creation of the Global Single Schema. GSS Requirements Gathering GSS defines all the key business entities and attributes including Customers, Contacts, Suppliers, Accounts, Products, Services, Materials, Employees, Installed Base, Sites, Assets, and Inventory to name just a few. In addition, Oracle delivers GSS pre-integrated with a wide variety of operational applications.  Business Process Automation EBusiness is about maximizing operational efficiency. At the highest level, these 'operations' span all that you do as an organization.  The following figure illustrates some of these high-level business processes. Enterprise Business Processes Supplies are procured. Assets are maintained. Materials are stored. Inventory is accumulated. Products and Services are engineered, produced and sold. Customers are serviced. And across this entire spectrum, Employees do the procuring, supporting, engineering, producing, selling and servicing. Not shown, but not to be overlooked, are the accounting and the financial processes associated with all this procuring, manufacturing, and selling activity. Supporting all these applications is the master data. When this data is fragmented and inconsistent, the business processes fail and inefficiencies multiply. But imagine having all the data under these operational business processes in one place. ·            The same accurate and timely customer data will be provided to all your operational applications from the call center to the point of sale. ·            The same accurate and timely supplier data will be provided to all your operational applications from supply chain planning to procurement. ·            The same accurate and timely product information will be available to all your operational applications from demand chain planning to marketing. You would have a single version of the truth about your assets, financial information, customers, suppliers, employees, products and services to support your business automation processes as they flow across your business applications. All company and partner personnel will access the same exact data entity across all your channels and across all your lines of business. Oracle's Global Single Schema enables this vision of a single version of the truth across the heterogeneous operational applications supporting the entire enterprise. Global Single Schema Oracle's Global Single Schema organizes hundreds of thousands of attributes into 165 major schema objects supporting over 180 business application modules. It is designed for international operations, and extensibility.  The schema is delivered with a full set of public Application Programming Interfaces (APIs) and an Integration Repository with modern Service Oriented Architecture interfaces to make data available as a services (DaaS) to business processes and enable operations in heterogeneous IT environments. ·         Key tables can be extended with unlimited numbers of additional attributes and attribute groups for maximum flexibility.  o    This enables model extensions that reflect business entities unique to your organization's operations. ·         The schema is multi-organization enabled so data manipulation can be controlled along organizational boundaries. ·         It uses variable byte Unicode to support over 31 languages. ·         The schema encodes flexible date and flexible address formats for easy localizations. No matter how complex your business is, Oracle's Global Single Schema can hold your business objects and support your global operations. Oracle's Global Single Schema identifies and defines the business objects an enterprise needs within the context of its business operations. The interrelationships between the business objects are also contained within the GSS data model. Their presence expresses fundamental business rules for the interaction between business entities. The following figure illustrates some of these connections.   Interconnected Business Entities Interconnecte business processes require interconnected business data. No other MDM vendor has this capability. Everyone else has either one entity they can master or separate disconnected models for various business entities. Higher level integrations are made available, but that is a weak architectural alternative to data level integration in this critically important aspect of Master Data Management.    

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  • Where/How do you configure phusion passenger when running nginx?

    - by Joey
    Im running Nginx and Phusion Passenger for my rails app and I want to be able to configure passenger. All I have seen is how to configure it while running apache which doesn't help me. For example, I want to change the following PassengerPoolIdleTime 0 RailsFrameworkSpawnerIdleTime 0 Where does this go? Putting it in my nginx config causes unknown directive errors.

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  • How long does it take Google to update all links from R 301 ?

    - by romant
    I just changed the location of my blog, and have done the appropriate redirects. Does anyone have knowledge or experience for the delay in updating all the links across Google? Reason I ask, I wish to change the A record. So this will eliminate the .htaccess file, and thus null and void the redirect. How long must I wait prior to the undertaking? Thank you.

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  • How long does it take Google to update all links from R 301 ?

    - by romant
    I just changed the location of my blog, and have done the appropriate redirects. Does anyone have knowledge or experience for the delay in updating all the links across Google? Reason I ask, I wish to change the A record. So this will eliminate the .htaccess file, and thus null and void the redirect. How long must I wait prior to the undertaking? Thank you.

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  • How long does a typical Windows 7 64bit installation take?

    - by Borek
    On a machine with Intel Core-i5 or i7 and a standard HDD, how long should an installation of Windows 7 64 bit roughly take? I'm after a rough estimate because my installation seems to be running quite slowly (previously, I've installed Win7 32bit on a laptop and it went much quicker but maybe there are differences between 32 and 64 bit editions).

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  • Seriousness of a "Smart" disk error. How long will it last?

    - by Workshop Alex
    I have an 1 TB data disk and the bios and Windows are reporting a "Smart" error. At least, I get a Smart event but it doesn't indicate how serious the failure could be. My system is about 6 months old, including the disk so the warranty will cover the damage. Unfortunately, I lack a second disk of 1 TB in size which I can use to make a full backup. The most important data on this disk is safe, but there's a lot of work data which can be regenerated but this would cost a lot of time. So I ordered an USB disk of 1 TB which will arrive in three days. By then I can make a full backup of the data and afterwards, it can crash. But will the disk live that long? (Well, I won't use the PC as long as I can't make a backup.) How serious is such a Smart event? I know it's serious enough to have it replaced, but will it live for another week or could it die any moment?Update: I purchased an 1 TB external disk and spent most of the day making a backup of the 1 TB disk. It survived that. I then received a new disk, since it was still under warranty and replaced the hard disk. Then I had to spend most of a day again to put back the backup. I need to send back the faulty disk and now have an additional external disk, which could always be practical. :-) The Smart Error report did not cause any failures on the original disk. I won't advise to ignore these warnings, but the disk still has enough life in it to last a few more days. (Just make sure you have a good back-up.) And oh, the horror of having to make a complete backup such a huge disk. :-) If your data is important, make sure you have something that supports incremental backups and lots of space. (In my case, the data wasn't very important, just practical to have on-disk together.)

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  • What are the impacts of running VirusScan on a Linux server?

    - by alci
    I am asked in a bid for tender to assert that my software will cohabit without a problem with VirusScan (v6.0.3) under Linux. My software is a web application, running under tomcat. It can create additional JVMs (to run ETL jobs) and writes reporting files (mostly PDF and HTML) in an application directory. Are there any specific problem I should be aware of regarding VirusScan running on the server my app will run on ?

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  • Why is Windows "stuck" on the Welcome screen for so long?

    - by Perdana Putra
    I use Windows 7 with a laptop specifications processor core (Core i3), 2 GB DDR3 RAM, the remaining capacity on the system partition (25 GB). I do not know why the "welcome screen" takes a long time (about 40 sec), but yesterday only took about 10 sec., I tried to defragment the disk and do a virus & spyware scan with antivirus, but still the "Welcome screen" comes along. How do I get the welcome screen to pass by faster when Windows boots up?

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  • How long to install a new RAID 1 pair in linux using hardware RAID?

    - by Roger H
    Hi, I need to install a pair of 1Tb disks into a server that has a hardware RAID card. How long is it likely to take to configure the RAID controller - sticking the disks in is only a 5 minute job, but is there likely to be significant downtime while both disks mirror (even though they are both blank)? Am I looking at 10 minutes over all, or more like 2 hours for this to happen? Thanks

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  • How long are the default times for greylisting? [on hold]

    - by rubo77
    In Wikipedia it sais: A mail transfer agent (MTA) using greylisting will "temporarily reject" any email from a sender it does not recognize. If the mail is legitimate the originating server will, after a delay, try again and, if sufficient time has elapsed, the email will be accepted. But how can I find out how long these delays are on my server and on the receiving side? My goal is to speed up email-traffic with partners using greylisting too and speed up the receiving of the first email someone sends to customers on my server.

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  • CPU running at full capacity when boot to DOS?

    - by Kevin H
    Does the CPU is run at 100% or near full capacity when the computer is booted into MS-DOS? Will the CPU temperature become higher even though we are not running any program in DOS mode? In Windows, we can see the CPU usage in % of utilization in Task Manager. From what I heard, CPU is running at near 100% capacity in DOS OS or in the BIOS MAIN screen. Is this caused by lack of CPU optimization in DOS OS?

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