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The most complicated and interesting component of nodal delay is the queuing delay dqueue In fact, queuing delay is so important and interesting in computer networking that thousands of papers and numerous of books have been written about it [Bertsekas 1992] [Daigle 1991] [Kleinrock 1975] [Kleinrock 1976] [Ross 1995]! We only give a high-level, intuitive discussion of queuing delay here; the more curious reader may want to browse through some of the books (or even eventually write a PhD thesis on the subject!) Unlike the other three delays (namely, dproc , dtrans and dprop ), the queuing delay can vary from packet to packet For example, if ten packets arrive to an empty queue at the same time, the first packet transmitted will suffer no queuing delay, while the last packet transmitted will suffer a relatively large queuing delay (while it waits for the other nine packets to be transmitted) Therefore, when characterizing queuing delay, one typically uses statistical measures, such as average queuing delay, variance of queuing delay and the probability that the queuing delay exceeds some specified value When is the queuing delay big and when is it insignificant The answer to this question depends largely on the rate at which traffic arrives to the queue, the transmission rate of the link, and the nature of the arriving traffic, ie, whether the traffic arrives periodically or whether it arrives in bursts To gain some insight here, let a denote the average rate at which packets arrive to the queue (a is units of packets/sec) Recall that R is the transmission rate, ie, it is the rate (in bits/sec) at which bits are pushed out of the queue Also suppose, for simplicity, that all packets consist of L bits Then the average rate at which bits arrive to the queue is La bits/sec Finally, assume that the queue is very big, so that it can hold essentially an infinite number of bits The ratio La/R, called the traffic intensity, often plays an important role in estimating the extent of the queuing delay If La/R > 1, then the average rate at which bits arrive to the queue exceeds the rate at which the bits can be transmitted from the queue In this unfortunate situation, the queue will tend to increase without bound and the queuing delay will approach infinity! Therefore, one of the golden rules in traffic engineering is: design your system so that the traffic intensity is no greater than one Now consider the case La/R =< 1 Here, the nature of the arriving traffic impacts the queuing delay For example, if packets arrive periodically, ie, one packet arrives every L/R seconds, then every packet will arrive to an empty queue and there will be no queuing delay On the other hand, if packets arrive in.



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The conclusion is dif cult, as the phenomenon has been reported in a variety of materials where not only different chromophores are used but also the materials properties differ drastically The question of the interin uence of molecular orientation and their translation motion remains unclear too More detailed explanations on the suggested mechanisms may be found in the original works (Saphiannikova and Neher, 2005; Baldus and Zilker, 2001; Bublitz, 2001; Fukuda et al, 2001b; Kumar et al, 1998; Le n et al, 1998; Pedersen et al, 1998; Barrett et al, 1996) and numerous reviews (Oliveira et al, 2005; Natansohn and Rochon, 2002; Yager and Barrett, 2001; Viswanathan et al, 1999) Formation of SRG is also addressed in 4 of this book and in Section 23 of this chapter All-optical formation of SRG has attracted much attention because of its potential for applications.





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is described so that a comparison might be made with the xed-wing aircraft equivalent. They are: Engine and transmission system Hydraulic system Electrical system Health monitoring system Specialised helicopter systems

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Typical applications include diffractive optical elements (Goldenberg et al, 2008a,b; Kulikovska et al, 2008; Natansohn and Rochon, 2002; Viswanathan et al, 1999), waveguide coupler (Choi et al, 2003; Kang et al, 2003; Barrett et al, 1997), lasing (Ye et al, 2007), and optical storage (Oliveira et al, 2005; Egami et al, 2000) Applications of nano- and microstructured surfaces as aligning layers (Kim et al, 2002; Dantsker et al, 2001), analysis of optical near eld (Fukuda et al, 2001a), templates (Kim et al, 2006a), nanodevice processing (Ohdaira et al, 2006), and biology (Barille et al, 2006; Baac et al, 2004) also attract more and more interest All applications discussed earlier just give a general idea about the photoinduced processes of azobenzene related to the topics of this chapter.

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