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FIGURE 19-5 Example information for a virtualized application Memory use lessens when running a virtualized application Installed applications have components load at system startup and con guration information stored in memory Memory overhead can be broken into paged pool and nonpaged pool Paged pool memory is where most applications operate; the content can be paged to disk as needed, and the amount used is the same for the virtualized application as if it was just installed locally The only additional memory used is 20MB for the SoftGrid client For nonpage pool memory (also known as kernel memory, which is used for important OS information that cannot be paged to disk), you use fewer resources Normally, con guration data, which includes the Registry and other data, are pulled into kernel during computer start-up, taking up space this means longer boot times for information in the hkey_local_machine and hkey_classes Registry areas or longer logons for hkey_current_user areas of the Registry Typically, as applications are installed, the Registry fattens up and takes up more space and nonpage pool memory This is not the case for SoftGrid applications because nothing is written to the local machine Registry Information needed by the application is loaded at run time Imagine having 40 applications installed but running only 10 of them With locally installed applications this would signi cantly bloat the Registry, using up kernel memory With the applications virtualized, nothing is written to the Registry; there is no bloat and information is loaded into memory as needed, so this means a 75% nonpaged pool memory save Network bandwidth is also saved because SoftGrid pulls over only what is needed on-demand, instead of a full installation with many unused components When using SoftGrid with terminal servers, the therapeutic reboot (a regular reboot to clear out memory) is not needed This is due to the ef cient garbage collection performed when an application closes, and its highly contained execution footprint.

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AOL offers the same shopping services on the Web as it offers in its traditional online service. ou access AOL Shopping, shown in Figure 3-10, by clicking the Shopping link on the AOL.com Web page. From there you can browse through different merchandise departments (Apparel, Electronics, etc.), or search for specific products. It s a quick and easy way to find what you want to buy with out having to log onto the AOL service proper. with out having to log onto the AOL service proper . net Framework Crystal qr barcode encoder for .net .Related: 

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In a path with many turns, this should save a good eal of time In the second strategy (which also assumes the maximum velocity compatible with collision avoidance), the robot will attempt a time-optimal arrival at its (constantly shifting) intermediate target Intermediate targets will typically be on the boundary of the robot s eld of vision Similar to the model used in 3, our mobile robot operates in twodimensional physical space lled with a locally nite number of unknown stationary obstacles of arbitrary shapes Planning is done in small steps (say, 30 or 50 times per second, which is typical for real-world robotics), resulting in continuous motion The robot is equipped with sensors, such as vision or range nders, which allow it to detect and measure distances to surrounding objects within its sensing range.

Young people are the early adopters of broadband services the leading edge of a mass market that promises serious rewards for service and content providers However, the youth market will not be easily won It is a technologically savvy group, and their online expectations have rown with their online experience Thus begins an Alcatel white paper entitled Broadband isn t Wasted on the Young [14] The premise that the young are in the vanguard of broadband adoption is not surprising It has been borne out by several research projects and is self-obvious to anyone with more than a passing interest in broadband activities The age differentiator was also the major nding of the Yankee Group s European Connected Consumer Survey, conducted in July 2003 Age has a big impact, Yankee found, both on online behavior and attitudes to new services Other prominent Yankee ndings were that gender is a relatively unimportant differentiator, though it is signi cant for certain services, and income level and household size are surprisingly unimportant As regards speci cally broadband applications, such as video and music, the Yankee survey found that users over 55 make little use of rich media applications, even though they are slightly more likely to have a broadband connection, while the under 20s are far more communication-intensive than any other age segment Whether the broadband uptake of young people is commensurate with their buying power was the subject of several surveys in 2002 and 2003 A survey by research rm InsightExpress [15] found that students, including teenagers and young adults, drive the decision when it comes to consumer electronics purchases For PCs, for example, the survey found that students made the decision in 52 % of the cases, with their parents deciding in 30 % of the instances and the two making a joint decision just 18 % of the time The same trend was true as regards Internet access, cell phones, digital cameras, PDAs, MP3 players and software In the latter case, students made the decision 76 % of the time There is no empirical evidence that the same proportions hold true when it comes to paying for broadband content, though it is a fair assumption that young members of the household have an inordinate in uence over those decisions With telephony, data and video networks converging, service providers have begun offering service bundles to their customers, with discounts offered on the basis of the number of services included in the bundle The basis of the bundle is the so-called triple play voice, data and video though wireless connectivity and mobile are also items that will be increasingly prominent in bundles as the decade progresses The average revenue per user (ARPU) for a standard menu of services was $80 per month in the US and $74 per month in Europe in 2002, according to Schema [9] This revenue, for a content menu providing basic TV, pay TV, personalized TV, music, games and broadband Internet access, is in addition to the telephony revenues generated by the subscriber As the market matures, Schema expects the ARPU for the same bundle of services to decline to $45 $50 per month by 2007 However, service providers will, no doubt, introduce additional services, thus keeping the ARPU somewhat stable The key point is that a household may have a broadband connection, but the consumers in the household are individuals and each has his/her own interests Broadband will truly come into its own when it is no longer regarded as a pipe into a home (ie one product with one price), but the enabler for a wide range of entertainment options, each of which is purchased and consumed by one or more family members.

Robot vision works within some limited or unlimited radius of vision, which allows some steps look-ahead (say, 20 or 30 or more) Unless obstacles occlude one another, the robot will see them and use this information to plan appropriate actions Occlusions effectively limit a robot s input information and call for more careful planning Control of body dynamics ts very well into the feedback nature of the SIM (Sensing Intelligence Motion) paradigm To be sure, such control can in principle be incorporated in the Piano Mover s paradigm as well One way to do this is, for example, to divide the motion planning process into two stages: First, a path is produced that satis es the geometric constraints, and then this path is modi ed to t the dynamic constraints [79], possibly in a time-optimal fashion [80 82].

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Among the rst attempts to explicitly incorporate body dynamics into robot motion planning were those by O Dunlaing [83] for the one-dimensional case and by Canny et al [84] in their kinodynamic planning approach for the twodimensional case In the latter work the proposed algorithm was shown to run in exponential time and to require space that is polynomial in the input While the approach operates in the context of the Piano Mover s paradigm, it is somewhat akin to the approach considered in this chapter, in that the control strategy adheres to the L -norm; that is, the velocity and acceleration components are assumed bounded with respect to a xed (absolute) reference system This allows one to decouple the equations of robot motion and treat the two-dimensional problem as two one-dimensional problems1 physical space lled with a locally nite number .

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