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that suits all needs related to service management is a sizable undertaking but one worth pursuing. Not only should the ideal model be like a Swiss army knife when it comes to modelling, but the user of that knife should also be able to nd the right blade at the right time, while avoiding accidentally puncturing one s pocket. Making the model understandable and logical goes a long way to meeting this goal. A parallel enabling technological development, understanding of the packet-based services themselves is developing. From a technological perspective, both the requirements and characteristics of services need to be understood during the service creation process to make best use of available resources. Technological solutions such as the Intelligent Edge, introduced earlier, one powerful tools for enabling advanced packet-based services. There are interesting technologies being developed at the time of writing, including different kinds of web services technologies and ones related to the semantic web. It appears that decisions about which technology to deploy and when are increasingly controlled by business processes, which in turn are guided by end-users needs. Indeed, the technologies that are being developed, ranging from Intelligent Edge elements and terminal management solutions in the near future to semantic web tools further away, help to keep unnecessary technical details out of sight of the end-user. It is now the responsibility of the entire industry to make new and existing services more usable and useful for humans, instead of making humans conform to technology.

It s not hard to imagine a validate() method growing to hundreds of lines of code in a large ActionForm if thrown together in this slapdash manner While that would be bad enough, there are other, more subtle downsides to this pitfall As you can see in the preceding block of code, we had to convert the string value submitted in the request to a BigDecimal in order to perform the range comparisons This also served to ensure that the string could be parsed as a BigDecimal, Unfortunately, we will have to convert this same BigDecimal property again later, when it is transferred to the associated value object That means that there is a redundant block of conversion code somewhere else that must be kept in sync with the code in all of our validate() methods that contain similar logic.

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Thus far we have examined only trend-following mean reversion systems. In reality, most mean reversion traders have no bias against countertrend trading. Thus, now I offer some nondirectionally biased mean reversion trading systems.

Notice that in the case of cylinders, if one wants to know whether a given function g : T R belongs to C(t1 , . . . , tn ; B1 , . . . , Bn ), it suf ces to look at the values of g at the nite set of points t1 , . . . , tn and check if g(tj ) Bj for j = 1, . . . , n. However, if one takes, for example, T = Z (the integers) and considers the sets of functions A = {g : g : T R, lim g(t) exists and is nite}

Another problem is that we have no default validation rules, so a rule must be hand-coded for every field That makes our codebase a lot more fragile, in that adding, renaming, or changing the type of any variable requires changes not only to the property fields, but also to the validation code in every case While aspects of this pitfall can be partially mitigated by abstracting common functionality out into helper classes, such as the Formatters presented earlier in this chapter, the problems remain fundamentally unchanged And while the pitfall example presented represents the worstcase scenario, code of this sort is unfortunately all too common in actual Struts-based applications One way to avoid this pitfall is to use the ValidatorForm, added in Struts 11 ValidatorForm is a subclass of ActionForm that implements the inherited validate() method to invoke generic validation functionality in the Jakarta Commons Validator framework.

IPv6 dramatically changes the format of the header compared to that used in IPv4. Despite the extension of the address space from 32 to 128 bits (this obviously impacts the source address and destination address in the header), the basic IPv6 headers (40 bytes) are not proportionally larger than the IPv4 headers (24 bytes). This is achieved by creating many extension headers, none of which are mandatory. This provides a hugely exible mechanism for ef ciently adding extra functionality without increasing the overhead on the majority of packets.

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