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or desktop Grid systems leverage the installed hardware capability (and work well even with much lower performance PCs), and thus can achieve a cost per unit computing (or return-on-investment) superior to the cheapest hardware alternatives by as much as a factor of ve or ten As a result, distributed computing systems are now gaining increased attention and adoption within the enterprises to solve their largest computing problems and attack new problems of unprecedented scale For the remainder of the chapter, we focus on enterprise desktop Grid computing We use the terms distributed computing, high throughput computing, and desktop Grids synonymously to refer to systems that tap vast pools of desktop resources to solve large computing problems, both to meet deadlines or to simply tap large quantities of resources.

Note that if you don t see the stroke applied to the object, you may need to specify a stroke width, as described a little later in this section. The controls in the Color panel (choose Window Color Color or press F6) let you change the tint of the color applied to a stroke, but I recommend you use the tint control on the Swatches panel (choose Window Color Swatches or press F5) instead so that you don t accidentally use unnamed colors (see 8 for more information on this issue). The Gradient panel (choose Windows Color Gradient) gives you the option to apply either a linear or radial gradient to strokes. For linear gradients, you can specify the angle using the Angle field.

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For a number of years, a signi cant element of the research and now commercial computing community has been working on technologies for Grids [2 6] These systems typically involve servers and desktops, and their fundamental de ning feature is to share resources in new ways In our view, the Entropia system is a desktop Grid that can provide massive quantities of resources and will naturally be integrated with server resources into an enterprise Grid [7, 8] While the tremendous computing resources available through distributed computing present new opportunities, harnessing them in the enterprise is quite challenging Because distributed computing exploits existing resources, to acquire the most resources, capable systems must thrive in environments of extreme heterogeneity in machine hardware and software con guration, network structure, and individual/network management practice The existing resources have naturally been installed and designed for purposes other than distributed computing, (eg.

Plug ow is important for continuous reacting and nonreacting processes to achieve high yield, selectivity, and mass transfer rates. As shown in Figure 6-25, the required volume of a CSTR can be two orders of magnitude higher than the volume of a plug ow reactor, depending on reaction order and conversion level. Key issues in designing multistage mixing tanks include tank volume, height/diameter ratio, mixer design, interstage baf e opening size, and inlet outlet locations. The tank volume is based on the desired mean residence time. The aspect ratio is determined on the basis of number of stages. Although more stages approach plug ow, generally four to six stages are satisfactory. The mixer is designed on the basis of process mixing requirements such as blend time, or quality of solids suspension, liquid liquid emulsi cation, and gas dispersion. The mixer design includes type and number of impellers, diameter, mixer speed, and driver power. The interstage baf e opening must be sized based on acceptable level of exchange ows between stages. A larger opening increases exchange ow and backmixing, and as a result leads to lower stage ef ciency. Draft tubes are sometimes used at these openings to reduce backmixing. The inlet and outlet should be located at opposite ends of the mixing tank for best plug ow conditions. Several models are available in the literature for predicting backmixing and can be used to evaluate reactor performance. The

desktop word processing, web information access, spreadsheets, etc); the resources must be exploited without disturbing their primary use To achieve a high degree of utility, distributed computing must capture a large number of valuable applications it must be easy to put an application on the platform and secure the application and its data as it executes on the network And of course, the systems must support large numbers of resources, thousands to millions of computers, to achieve their promise of tremendous power, and do so without requiring armies of IT administrators The Entropia system provides solutions to the above desktop distributed computing challenges The key advantages of the Entropia system are the ease of application integration, and a new model for providing security and unobtrusiveness for the application and client machine Applications are integrated using binary modi cation technology without requiring any changes to the source code.

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