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light senses a larger difference between reactive and nonreactive areas when the polarization is perpendicular to the fringes than when it is parallel. When a lm is under strain, nonirradiated areas also become anisotropic because of the stretchinginduced orientation of both PB chains and azobenzene mesogens. However, this

118 255 Methods of measurement of diffusion coefficients Both steady-state and non-steady-state methods are used in the determination of diffusion coefficients In the steady-state methods (dc/dt = 0) the flux J and the concentration gradient dc/Sx are measured directly and the diffusion coefficient D is calculated according to Fick's first law, often without assuming that D is constant In non-steady-state methods, all the parameters of diffusion flux change with position and time and thus equations resulting from integration of Fick's second law must be employed with various boundary conditions, depending on the experimental arrangement In integration, when necessary, a suitable form of the function D(x, t) must be assumed Usually the diffusion coefficient is assumed to be constant and thus the final integrated equations can be used only for small concentration ranges in which the change in the diffusion coefficient can be neglected A steady-state method.

software efficiently manages the processing load on fewer computers running at higher utilization levels to handle the same burden, improving the ability to deliver on-demand while greatly reducing costs. One user of virtualization and blades, when asked where virtualization had presented the biggest benefits, responded, If possible, deploy (server virtualization) on blade servers. The configuration becomes so much more manageable and redundant, and that boosts efficiency even more. Why Because blades not only take up half the space of traditional 1U servers, but they also share vital resources such as switches and interface cards, allowing for moresimplified, centralized management.

In the diaphragm method the diffusion process is restricted to a porous diaphragm (a glass frit with a pore size of about lOjUm, separating compartments 1 and 2 of volumes V1 and V2 (cf Eq (2518) The diaphragm is the actual diffusion space with an effective cross-section of pores A and an effective length / The compartments are filled with solutions of concentrations c and c2 at the start of the experiment, and are thoroughly stirred during the experiment After a short time the solutions penetrate into the pores of the diaphragm and the solution diffuses from 1 to 2 if c\>c\ In the steady state there is no accumulation of the solute in the pores of the diaphragm, ie the same amount of solute which leaves the compartment 1 in a certain time interval passes into the compartment 2.

Diffraction efficiency (%)

The flux of the substance is constant through the entire thickness of the diaphragm but it decreases with time because the concentration difference between compartments 1 and 2 decreases After the experiment has been running for a certain time, the contents of both compartments are analysed and the concentrations c[ and c2 are determined From these data we may compute the average value of the diffusion coefficients between the concentrations (c + c[)/2 and (c2 + c2)/2 The time dependence of the concentration in 1 and 2 is obtained by solving the differential equations.

The high density and modularity that blades offer, together with consolidation of physical systems through virtualization, will allow data centers to pack substantially more computing power into their data centers, achieve higher utilization of that computing power, and reduce their CapEx costs. Racks of blades working together can deliver the equivalent power of supercomputers, and are built on modular components that can be added/subtracted/swapped as needed, at a greatly reduced cost. In addition, the modularity and manageability of blades together with virtualization allows for significant streamlining of operational and serviceability procedures, reducing IT OpEx costs. Furthermore, integrated remote management of blade systems and advanced management capabilities of a virtualized infrastructure allow for ease of deployment, redeployment, and serviceability in a centralized or distributed data-center environment. This chapter introduced the concepts and some of the benefits of blades and virtualization as complementary technologies. In 2, Evolution of Computing Technology Setting the Stage, we will take a step back to frame the blade and virtualization technologies within the history of computers.

Figure 11.10. First-order (+1) diffraction ef ciency vs. draw ratio for a grating inscribed on an ATE lm subjected to extension (closed symbols) and retraction (open symbols). Source: Zhao et al., 2002. Reprinted with permission.

where At is the time interval during which concentrations c} and c2 assume values c[ and c2, respectively.

90 100 110

It is important to understand the context in which new computing technologies, such as blade servers and server virtualization, emerge. To that end, this chapter will look at common trends that have arisen throughout the history of computing, as well as the major evolutionary advancements in computing over the past four decades.