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Server-based computing is great. It s happening. It s part of our strategy. Steve Ballmer, Microsoft CEO, Wall Street Journal, July 21, 1999 Microsoft is very supportive of Citrix and is a Premier Plus member of the Citrix Business Alliance. Microsoft recognizes that Citrix drives an enormous amount of Microsoft software sales by freeing up customer economic and staffing resources for investment in its suite of .NET server products in fact, Microsoft named Citrix the 2008 ISV Partner of the Year. Whereas Microsoft Terminal Server provides the base for an application infrastructure, Citrix XenApp Platinum is the enabling technology. Citrix supplies the capabilities required and expected of an enterprise solution. These capabilities include versatility, usability, scalability, and manageability, along with enhanced security. The value that Citrix XenApp Platinum Edition adds to Terminal Services is discussed more thoroughly in 2. Although the cost of Citrix software is not insignificant, it pales in comparison to the savings that will be realized from implementing an enterprise application delivery infrastructure. Such a solution is a serious and complex undertaking utilizing relatively new technology on constantly changing platforms. It is imperative that sacrifices not be made in the quality of the data center and networking infrastructure. This is also true for the Citrix XenApp component. Delaying the decision to implement application delivery infrastructure access in order to see what the future may bring means the continuation of huge unnecessary expenditures in the present.

Determine the effect of varying surface areas on reaction rates. Measure the rate of reaction. Determine the effect of more than one factor on reaction rates.

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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The trade-off is reduced security and flexibility. For instance, flexibility is reduced because a particular OS or distribution may not be able to work. For example, a new Windows deployment may not be available as a guest OS for the solution. Security can be at risk because the guest OS has more control of the underlying hardware, and there is a risk of impacting the hardware and all the guest systems on the host. Paravirtualization also allows for better scaling. For example, if a fully virtualized solution requires 10 percent of processor utilization, then five systems are about the most that could be run on a system before performance takes a hit. Paravirtualization requires only 2 percent of processor utilization per guest instance and still leaves 10 percent of the guest OS available. This is illustrated in Table 1-1. Paravirtualization works best in these sorts of deployments: Disaster recovery In the event of a catastrophe, guest instances can be moved to other hardware until the equipment can be repaired. Migration Moving to a new system is easier and faster because guest instances can be removed from the underlying hardware. Capacity management Because of easier migrations, capacity management is simpler to implement. It is easier to add more processing power or hard drive capacity in a virtualized environment.

indicating that ( x - 2)(x + 1) the fi-action can be written as something over the first factor and something else over the second factor. Set up two fiactions with undetermined numerators and equal to the original fraction. 2 B --+-A (x-2)(x+l) x - 2 x+l

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tem-sweep testing equipment that provide accurate results and are relatively easy to use. Many companies depend on the construction contractor to sweep the system, with the work monitored by one of the system s technicians. Some cable operators do not purchase such sweep equipment but may rent or lease it when needed. A system sweep setup is shown in Figure 7-10. Large companies with several systems often have a sweep system that is used on a rotational basis.

#include <iostream> using namespace std; class figure { protected: double x, y; public: void set_dim(double i, double j) { x = i; y = j; }

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Controlled-load service is a close approximation to the QoS that an application would receive if the data were being transmitted over a network that is very lightly loaded. This service means that a very high percentage of packets will be delivered successfully and that the delay experienced by a very high percentage of packets will not exceed the minimum delay experi-

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