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Table 6.2 A note of the differences between N1 Grid Engine and Sun Grid Engine N1GE 6 differs from the version 6 of Sun Grid Engine Open Source builds in the following aspects: Sun support only available for N1GE (for allmajor UNIX platforms and Windows soon). Accounting and Reporting Console (database for storing of accounting, metering and statistics data, plus a Web UI forqueries and generating reports). Binaries for MS Windows execution/submit functionality (to be delivered in the second half of 2005). Grid Engine Management Model for 1-click deployment of execution hosts on an arbitrary number of hosts (to be delivered in the second quarter of 2005). The basic software components underneath N1GE and SGE are identical. In fact, the open-source project is the development platform for those components. Proprietary Sun code only exists for the differentiators listed above (where applicable). Note that some of those differentiators use other Sun products or technologies, which are not open source themselves.



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Electric dipoles in a electric eld intensity (oriented in the x-direction but propagating in the z-direction), experience a transverse displacement relative to the direction of propagation. The size of the displacement depends on the number of electric dipoles per unit volume in the propagating medium. Electric dipoles of a given species oscillate at their resonant frequency and their amplitude decays according to a damping constant characteristic of that species and its environment; both characterize the constants in a response function. The signal pulse thus produces a trail of dipoles in its wake that oscillate and decay with time. The oscillating electric dipoles produce a subsequent electric eld intensity that contributes to the incident wave front and leads to dispersion of the pulse. The dispersion is a property of the medium dipole species composition and their volume density. We can see the effects of dispersion by examining the dynamics of propagating electric eld intensity as it stimulates dipoles in a microstrip or stripline as shown in Figure 5.34. As electric eld intensity passes by polarizable atoms or molecules it induces electric dipole moments which subsequently oscillate and decay as shown in Figure 5.33, depending on the leading edge nature of the waveform; in a sense it rings the bell of each induced dipole. With a small differential pickup probe in the propagating medium, and with repetitive positive and negative electric eld intensity wavefronts phase locked to the front, could we sense the uorescent elds produced by those dipoles in the wake of the front By measuring their lifetimes, could we distinguish between over and under-damped oscillators If so, would the decay constants yield loss factors from those induced dipoles Would it be possible to distinguish between species of oscillators with different natural frequencies





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using , = 4.2 and = 80 pS/m. Parameter values for the eight resonances are given r in Table 5.1. The t of Equation 5.109 using the parameters from Table 5.1 to the data in Figure 5.50 is shown in Figure 5.57. The quality of this t to the empirical data within the stipulations stated in the three paragraphs above is left to the judgment of the reader. However, it should be noted that the choice of the Debye equation for each of the resonances makes the choice that only a relaxation term enters the material properties of FR-4.

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channels. Furthermore, a higher new call blocking probability means that fewer new calls are admitted and therefore the system utilization for the TLFGC scheme is lower than that for the FGC scheme. In this case, the handoff call blocking probability is lowered due to fewer new calls in the system. Thus, this is the trade-off for using the TLFGC scheme over the TLDGC and the FGC scheme. However, as seen earlier in this section, the TLFGC scheme ful lls the objective of giving higher priority and protection to handoff calls over new calls under heavy load. Thus, such a trade-off is acceptable. Figure 5.24 shows the probabilities of being in levels 1 and 2 for TLDGC and TLFGC with C = 20. As the load increases, the probability of being in level 1, Q 1 , decreases, while the probability of being in level 2, Q 2 , increases. Thus, both TLDGC and TLFGC adapt to the traf c load, given better treatment to handoff calls in level 2 under a heavy-load scenario. The rates of change in Q 1 and Q 2 for TLFGC are faster than those of TLDGC as the load increases. Figure 5.25 shows that the equivalent number of guard channels, EGC, adaptively increases as the traf c load increases for both TLDGC and TLFGC, favoring handoff calls under heavy load, especially for the latter.

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