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This message, along with the method name and arguments, contains other remoting-specific information that identifies the target remote object on which this method is invoked The format type of this message could be a raw binary or XML or custom format By default, the remoting framework provides support for both binary format and SOAP format The binary formatter undoubtedly is the fastest formatter but when interoperability is at stake, then SOAP is the way to go The formatter plays a dual role On the receiving end (the server side), it unmarshals the message back to the appropriate CLR type; on the sending end, it serializes the CLR type to the appropriate wire-encoding format..

The previous section gave you a sense for the ways that JBoss Seam simplifies Java EE development, especially when it comes to applications using JSF and EJB components. This section quickly surveys the various extended capabilities that Seam provides in its framework. These capabilities are pretty compelling in their own right, even if the programming simplifications described earlier don t interest you.

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prevailing in the past five years. Some use data such as current volatility, past volatility, and details about the correlation of movement of the stock with the index, and so on. It is clear that market data service providers cannot provide all these services. Institutions do a careful analysis to check what data they can get ready from market data service providers and what they need to store in their existing application repositories. Data from both sources (from repositories and from market data service providers) is used with a good amount of computation to achieve business results. A purchase order, once it is a transacted order, needs to be paid for and settled. ( 1 discussed the entire cycle of payment and settlement.) Settlement and back office people require a lot of market data such as ISIN codes, SEDOL codes, the pay-in/pay-out dates of the clearing corporation, and so on, to complete the settlement of these trades. This is required to bring about uniformity in communication. Thus, you see that the market data service is crucial to everyone in the securities trading value chain. However, most of the time data that is received from such service providers is in a raw form and needs a good amount of cleaning, processing, and value adding before various consumers of the data can use it.

Looking back over my C and Perl code, one of the first places that encapsulation suffers is in sections that call for iteration. Consider this bit of C: int i; for(i = 0; i < message_count; i++) { char *m = messages[i]; puts (m); } The basic idea here is to iterate over a collection of strings and dump them to the terminal. The first thing to notice is how noisy it is. There is a lot of scaffolding here just to set up the iteration. That scaffolding is a by-product of intimate assumptions made about the structure of the collection of messages (in this case an array of char *) and how to iterate through it. The goal we are trying to achieve here is buried under bookkeeping code and, if we ever move from C-style arrays to (for example) a linked-list structure, this code will break. Perl improves upon this by providing standard types that can be iterated over: foreach $member (@members) { print $member . "\n"; }

Market data service providers usually provide the same set of information. This explains why you get the same news when you move from one financial portal to another (chances are they have subscribed to the same service provider). Key differentiators in market service providers revolve around the following: Timeliness of data: This is whether data is coming real time or is delayed. If historical data is also available, then how long is the history We devote the next section of this chapter to understanding why timeliness is important as far as market data is concerned. Coverage of data: This means data is covered across markets such as forex, stocks, bonds, derivatives, and so on. Some market data service providers provide more intensive coverage about some classes of instruments than other service providers and provide preanalyzed (value-added) data. Geographical reach: Some service providers specialize in certain geographies such as North America, Southeast Asia, Japan, and so on. Institutions that want more intensive coverage of a particular geography subscribe to these services. Institutional investors whose stakes are high in the market and who can bear the costs normally subscribe to two or three service providers and use each of their strengths.

I mentioned the Seam component model in the previous section because it serves as the basis for the JSF/EJB simplifications provided by Seam. The Seam component model also provides a number of powerful extended services on top of the Java EE framework. All of the Seam component services discussed next will be explored in more detail in 3.

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