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Peer-to-peer systems are more loosely linked networks, where computers exchange information with each other but are not necessarily working toward a common goal. For example, an automatic financial trading system might communicate with several other systems to establish best prices before executing a trade through another one. Client-server systems are more asymmetric, in that one kind of computer (a client) is initiating the process, while the other computers in the network (the servers) are effectively slaves. Generally (but not necessarily), the ultimate client end of such a system is a human user. Arguably, all peer-to-peer systems are actually client-server systems, because at any one time, one specific computer (the client) is driving the process forward. In fact, it s possible for one application to be a server of another as well as being a client of a third. The .NET Remoting model is very much a client-server model. Before we look at it in any detail, however, we should examine the different variants of the client-server model.

4. Technically, the ROW keyword is optional. However, we feel it serves to specify that the subquery is expected to return a single row of data, versus a columnar or tabular result.

You can see from Example 9-13 that I ve configured the service to only receive passive check results, as submitted by the NSCA daemon. The service also has the max_check_attempts directive set to 1 to immediately react to HARD non-OK states. Finally, the service has the is_volatile directive set to 1 to mark this as a volatile service.

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In client-server systems, a client application talks to a server over a network using a protocol A protocol consists of a number of message types that can be used to transmit information in either direction It can either be standard (such as HTTP) or proprietary (such as MSMQ) It can also be synchronous or asynchronous In a synchronous protocol, every message exchange involves a request going one way and a response coming back HTTP is such a protocol In an asynchronous protocol, however, there is no requirement for the sender to wait for a response Indeed, there may be more than one response to a single initial request Examples of this abound in the protocols used in the finance industry The type of protocol has a significant impact on the nature of the system that uses it.

To demonstrate the power and flexibility of derived tables, let s revisit a correlated subquery from earlier (Listing 7-47): mysql> SELECT p.name FROM Product p -> WHERE p.unit_price < ( -> SELECT MIN(price) FROM CustomerOrderItem -> WHERE product_id = p.product_id -> ); While this is a cool example of how to use a correlated scalar subquery, it has one major drawback: the subquery will be executed once for each match in the outer result (Product table). It would be more efficient to do a single pass to find the minimum sale prices for each unique product, and then join that resultset to the outer query. A derived table fulfills this need, as shown in Listing 7-57. Listing 7-57. Example of a Derived Table Query mysql> -> -> -> -> -> -> -> SELECT p.name FROM Product p INNER JOIN ( SELECT coi.product_id, MIN(price) as "min_price" FROM CustomerOrderItem coi GROUP BY coi.product_id ) as mp ON p.product_id = mp.product_id WHERE p.unit_price < mp.min_price;

Let s quickly step through the process of sending Snort alerts to the Nagios server: 1. Alerts are sent using the alert_syslog output plug-in to your syslog daemon, in this case syslog-NG. 2. syslog-NG sends selected alerts to a named pipe after modifying them with a template. 3. A script processes the named pipe and sends the alerts in the form of check results to the NSCA daemon using the send_nsca command. 4. The NSCA submits the results to the Nagios server. 5. The check results are processed by the Nagios server and applied to the appropriate host and service objects. The notification, event handling, or escalation functionality that has been configured for the service is then initiated.

Any system built on top of an asynchronous protocol needs to have a connection open continuously between the client and the server In other words, it needs to have a session With a synchronous protocol, there is no such necessity Systems are divided into session-oriented and session-less categories In a session-oriented system, a link is established between the client and the server and maintained while a number of messages are exchanged While this link is in place, the server retains some idea of the client s state In this sense, state refers to a set of data associated with the client that persists for the duration of the session In a session-less system, a new logical link is established with every message exchange, and then destroyed afterwards The server has no concept of state in between messages.

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