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per second for seven types of PC buses. In examining the entries in Table 5.5, it is obvious that with the exception of the Peripheral Component Interconnect (PCI) bus, Industry Standard Architecture (ISA), Extended Industry Standard Architecture (EISA), and Microchannel Architecture (MCA) buses do not have the capability to transfer data at a rate anywhere near 1 Gbits/s. Even when a 32-bit PCI bus is used, its theoretical throughput is 132 Mbytes (8 bits/byte) or 1.056 Gbits/s. However because a computer needs cycles to retrieve data from a disk and initi, ate an adapter transfer most PCI-based PCs can achieve a sustained data , transfer only under 500 Mbits/s. However, modifications to Windows NT and the use of Windows 2000 with high-performance 1 GHz Pentium III processors and 64-bit PCI adapters operating at 66 MHz have resulted in a sustained data transfer of 900 Mbps. When contemplating the installation of a Gigabit Ethernet switch-toserver connection, it is important to carefully consider both the data path and the clock rate of the PCI bus. Unfortunately the 32-bit data path and , 33-MHz clock rate is the most common bus found in workstations and servers. Fortunately and for added cost, some servers can be obtained , with either a 64-bit data path and 33 MHz of clock speed or a 64-bit data path and 66 MHz of clock speed. The latter type of system provides the capability to effectively support Gigabit Ethernet transmission. REDUNDANCY A second major limitation of Gigabit Ethernet is its lack of redundancy. Unlike FDDI, which provides built-in redundancy through a self-healing ring, Gigabit Ethernet does not, and a break between a Gigabit Ethernet switch and another switch or file server can
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In the preceding configuration, the appliance is tracking a device, probably a router, in the ISP1 network ( If an echo reply is not received when tracking within 1 second (1,000 milliseconds) and this process is repeated three times, the primary default
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The package shown in Figure 16 - 7 is a plastic tray which holds the CD, with a cardboard slip cover. The front and back surfaces of the sleeve can hold graphics and text. This is another type which must be packaged inside another container. It is very convenient for a user s shelf beside a computer, since the disk is easily removed.
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I imagine that must be pretty tricky making predictions for people who have eclectic tastes. Is it a fairly complex algorithm you use to categorize movies to match people s tastes It is not a movie categorization service, because that is very complicated. What we do: let s say that I ask you to come in and rate 20 movies. The movies that I m going to ask you to rate are movies that have pretty strong vectors of taste associated with them. If I said, let s rate Titanic or Saving Private Ryan, odds are that a lot of us would rate them the same. If I said, let s rate something more controversial, such as Pulp Fiction, or let s rate American Pie, you re going to get very strong con icts. Some will love it. Some will hate it. Some are neutral. Now, if I take 20 movies like that and have you rate those 20 movies, I ve got a pretty multidimensional sense of who you are as a movie liker. If we rated 40 or 60 movies, it gets even stronger. Now, what I do is take all those movie tastes you have told me about and I look into a large database of other people who have done the same thing, and I nd people with movie tastes exactly like yours. In a nation of 280,000,000 people, there are a lot of people with movie tastes exactly like yours. Is this anything like the User Circles that were featured on Amazon.com Didn t they take heat for exposing the user data They did take heat for exposing the data. Telling the world, for example, that people at Boeing are reading this. And, of course, saying that people at Boeing are reading this doesn t really expose it; the only problem is when you begin to have organizations that are only ve or six people. I am opposed to that. In our case, we would never tell anybody what you did or did not like. What I am doing is matching you up with someone who has tastes just like you. And then you are going to come to my site and wonder, Am I going to like American Pie What I do is look at the 60 or 70 or 80 people that I ve found in my database who have tastes exactly like yours, I look at all of them who have looked at American Pie and rated it, and then I try to see if I have con dence that all of them have rated it the same. So, I nd 17 or 18 who, like you, all hated American Pie and then I can report back to you with a high degree of con dence, You re not going to like this movie. We can do that in both dimensions: they hate it, they love it, they are neutral. What is remarkable is that, as scary as it seems, we are reasonably predictable in matters of taste when we are aggregated into very large communities. It doesn t work with 20 people or 2000 or 20,000. But, with 200,000 or 2,000,000, then you are able to pull out very, very interest462
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7 B i o m o l e C u l e s 1 0 1
lot on the cloud, there are issues you need to consider before making the move. In this chapter we talk about such issues as when you can use a cloud solution, the benefits to your organization (mostly financial, but there are others, too), security issues, regulatory concerns, and limitations. Honestly, the point of this chapter is not to scare you off, but just to present the counterpoint to the issue.
Important EIGRP Terms
The Session Initiation Protocol (SIP)
When Does This Solution Fit
// A simple attribute example. using System; using System.Reflection; [AttributeUsage(AttributeTargets.All)] public class RemarkAttribute : Attribute { string pri_remark; // underlies Remark property public RemarkAttribute(string comment) { pri_remark = comment; } public string Remark { get { return pri_remark; } } } [RemarkAttribute("This class uses an attribute.")] class UseAttrib { // ... } class AttribDemo { static void Main() { Type t = typeof(UseAttrib); Console.Write("Attributes in " + t.Name + ": "); object[] attribs = t.GetCustomAttributes(false); foreach(object o in attribs) { Console.WriteLine(o); } Console.Write("Remark: "); // Retrieve the RemarkAttribute. Type tRemAtt = typeof(RemarkAttribute); RemarkAttribute ra = (RemarkAttribute) Attribute.GetCustomAttribute(t, tRemAtt); Console.WriteLine(ra.Remark); } }
How to Get a Job
Working with the Raw Lab in CorelDRAW is an experience you won t want to miss. If you don t have a Raw image handy or if your camera cannot take Raw file format images, you can download the example image of a historic factory. Because no two manufacturers could agree on a file extension, a Raw image could have .CRW, .DNG, or scores of other extensions. The good news is that CorelDRAW doesn t care about the file extension you just choose Raw-Camera RAW from the Files Of Type dropdown list in the Import dialog, and then navigate to the location of a Raw image, in the following example, Future factory.dng. The better news is that CorelDRAW can import Raw images from a three-page list of manufacturers just short of photos on a View-Master reel, you re assured that CorelDRAW can import most Raw files. Let s dig right into the features and options available to you when you import a Raw image; follow these steps and guidelines to import the image, and then perform minor processing enhancements. There s nothing truly wrong with the image, but this tutorial is instead an opportunity to gain hands-on experience with the Camera Raw Lab features.
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