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of the technical aspects of providing such a service in a scalable ef cient fashion require access to, and ability to con gure, elements in the networks In this book we describe the state of the art in this eld and a new framework aimed at addressing the need for rapid deployment of ef cient Context-Aware Services, which is becoming a requirement in many providers networks This solution is based on a distributed service execution environment utilizing the programmable network paradigm A study of the eld of Context-Aware Services followed development of new ways to create and deploy such services must start with a clear view of the different elements participating in the envisaged scenarios A key ingredient is the context itself one must de ne what context is, and how it relates to services in the new networking paradigm This is described in 2 of this book.

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Nevertheless, other species of baldcypress, such as Planera aquatica, in swamps withstood complete submergence for a period of time if in direct sunlight (Rayner, 1976). In addition to the ood tolerance that is related to elevation, seedlings also sort along gradients of shade tolerance. For example, Taxodium distichum is intermediate in shade tolerance, and cherrybark oak and sweetgum are intolerant of shade (Hall and Harcombe, 1998). It is likely the interactions of ood and shade tolerances in uence the spatial distribution of seedling recruitment in complex ways. Substrates also in uence seedling recruitment. Seedlings were distributed across a wide variety of microsites in a mixed cypress swamp forest with natural hydrology along the Savannah River (Figure 7-10), but the highest growth rates were found on consolidated muck substrates (Sharitz et al., 1990). In general, seedlings that germinate earlier in the growing season have higher survivorship, but these can be killed by late-season ooding (Streng et al., 1989; Jones et al., 1994). Seedlings of Taxodium distichum planted in ooded or intermittently ooded sites in September or March had higher survival rates (>70 percent) than those planted in un ooded sites in March (40 percent) (Conner and Flynn, 1989). Sudden ooding, as is experienced along the Mississippi River during storms, can kill seedlings in forests and plantations (Kennedy and Krinard, 1974).

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heavily in XUL, which is an XML language, we will be using XML examples for the rest of this chapter.

Employee Growth for Nokia, by Yearly Percentage Growth Rate 60.0% 40.0% 20.0% 0.0% 20.0% 40.0% 1974 1977 1980 1983 1986 1989 1992 1995

also noted that, in difficult situations, the course of action chosen may be challenged Use of a systematic problem-solving strategy will allow the practitioner to describe how a decision was made This may afford some protection when difficult decisions come under the scrutiny of others Furthermore, practitioners may find a systematic decision-making model helpful in anticipating and preventing problems from occurring (Sinclair, 1998) The following eight-step problem-solving model is adapted from Koocher and Keith-Spiegel (1998, pp 12 15): 1 Describe the parameters of the situation 2 Define the potential ethical-legal issues involved 3 Consult ethical and legal guidelines and district policies that might apply to the resolution of each issue (Hansen & Goldberg, 1999) Consider the broad ethical principles as well as specific mandates involved (Hansen & Goldberg, 1999; Kitchener, 1986) 4 Evaluate the rights, responsibilities, and welfare of all affected parties (eg.

Another important building block is the service Here, it is important to de ne the scope of a service in this new era where telecommunication and data networks converge It is also important to study the service life cycle, from creation through deployment to the actual offering of well-managed services to end users We do this in 3 A special emphasis is put on the interaction of the service with the networking layer In this new converged world where the network is very heterogeneous and complex, and where low operational cost is crucial to the attainment of pro tability, it is very important to be able to offer the required QoS to the customer in the most ef cient way For this reason, it is no longer possible to offer all services from a single location and to view the network as a black box.

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