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The diagram in Figure 7.4 depicts a LargeTransaction method named executeOrder() on the CommerceSession that executes several steps to complete a purchase order process. This scenario can occur when someone attempts to implement a supposedly streamlined user process, whereby hitting the checkout button initiates the completion of the order, and all subsequent process steps as well. This application can also be implemented in this way as an automated purchase process as part of a Web Service or integration process implementation. Regardless of the reason for it, this configuration results in a single, large-grained process being invoked by an outside client, be it a UI component, a Web Service client, or an integration client, and several significant processes are sequenced and executed in this one overall step. As can be seen from the diagram and sequencing, this method performs a series of steps that call significant transactional session methods, and each of those methods enlists a number of core Entity Bean instances. Because all these steps occur within the same transaction, and each one requires significant processing, this results in a situation in which the method takes a long time to execute and, in the end, has enlisted many shared resources.

Weekly, Spin, and other publications wrote about Friendster; Abrams even appeared on the late-night television talk show Jimmy Kimmel Live (He then boasted that Yahoo! s founders had never been guests on that kind of talk show) As Friendster s growth exploded and it attracted investors, it also attracted a board of directors, mainly experienced venture capitalists and software executives who had little feel for the product The board assessed Friendster s situation and concluded that Abrams was in way over his head; in April 2004, he was replaced as chief executive What happened All of a sudden, Jonathan had all these highpowered investors to please, Russell L Siegelman, a partner at the venture capital rm Kleiner Perkins Cau eld & Byers, told the Times He had all this money in the bank, so there was all this pressure to hire people and get things done.

is rapid, both iron(II) and iron(III) centers are observed by M ssbauer speco troscopy (Fig. 3.51). These results, together with the intervalence charge-transfer absorption spectrum (Section 3.4.3) and crystallographic investigations on the solid crystalline polymer (Fig. 1.16), show that Prussian blue is a class II mixedvalence compound using the Robin and Day classi cation scheme for two centers labeled A and B (61): Class I: A and B are very different with ions in different ligand elds, etc. Trapped valences Intervalence transitions at high energy Optical spectra those of constituent centers A and B in similar but not totally equivalent surroundings Valences distinguishable but nonzero delocalization Intervalence transitions observable often in visible or near-infrared region Optical spectra (other than intervalence bands) those of constituent centers (if not obscured by intervalence bands)

Let s look at an example of session tracking by using session objects:

Open up new territories: China, Japan, Germany Add all these new features Meantime, he took his eye off the ball The ball, of course, was the site and the user experience As Friendster became more popular, the site became slower, eventually taking as long as 40 seconds to download an eternity and a half for its 16- to 30-year-old target market Yet, according to insiders, such technical dif culties did not interest the board of directors; they were more concerned with potential competitors and new features, such as trying to add Internet phone services to the site..

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Middleware platforms and related services form a vital cog in the construction of robust distributed systems. Middleware facilitates the development of large software systems by relieving the burden on the applications developer of writing a number of complex infrastructure services needed by the system; these services include persistence, distribution, transactions, load balancing, clustering, and so on. The demands of future computing environments will require a more exible system infrastructure that can adapt to dynamic changes in application requirements and environmental conditions. Next-generation systems will require predictable behavior in areas such as throughput, scalability, dependability, and security. This increase in complexity of an already complex software development process will only add to the already high rates of project failure. Middleware platforms have traditionally been designed as monolithic static systems. The vigorous dynamic demands of future environments such as large-scale distribution or ubiquitous and pervasive computing will require extreme scaling into large, small, and mobile environments. In order to meet the challenges presented in such environments, next-generation middleware researchers are developing techniques to enable middleware platforms to obtain information concerning environmental conditions and adapt their behavior to better serve their current deployment. Such capability will be a prerequisite for any next-generation middleware; research to date has exposed a number of promising techniques that give middleware the ability to meet these challenges head on. Adaptive and re ective techniques have been noted as a key emerging paradigm for the development of dynamic next-generation middleware platforms [1, 2]. These

Applications caught in this AntiPattern are usually hard to maintain. The JSPs are also hard to understand, which leads to numerous problems in changing the JSPs to fix bugs or update functionality.