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One related solution is to send all the information as a MIME attachment and not as separate RPC arguments. In some cases, the data may be transmitted as just an attachment, if it is just going to be directly inserted (not updated). Another similar approach is to send one whole business document as a SOAP document fragment. JAX-RPC supports SOAP document fragments as parameter types in RPC-style invocations. If the overall semantic really isn t purely a CRUD of an entity, it may still be useful to consider transmitting SOAP document fragments for specific parameters when they represent essentially documents of related objects (for example, a LineItem associated to an Order). Another alternative is to implement a hybrid-style Web Services with documentstyle operations to support CRUD functions and RPC-style operations for the nonCRUD operations. A Web Service can have some operations that are RPC-style, and others that are document-style. For the CRUD/entity type operations, where most of the entity information is being exchanged, these can be implemented using the document style. For other operations, where only a few attributes (for example, a document status) are being obtained or changed, it may still be suitable to implement these in RPC style.

In Figure 7.20, a set of cars is shown on a scatterplot. The cars are de ned as having good fuel ef ciency or poor fuel ef ciency. Those with good fuel ef ciency are shaded darker than those with poor fuel ef ciency. Values for the Acceleration and Weight variables are shown on the two axes. A decision tree is generated using the car fuel ef ciency as a response variable. This results in a decision tree where the terminal nodes partition the set of

Broil: To cook food by placing it on a rack that is directly under the source of heat This is also referred to as grilling Brown: To cook until food changes to a brown colour to help seal in natural juices Chop: To cut food into small pieces with a knife or other small cutting appliance Cream: To whip or beat with a spoon, whisk, or electric mixer until a mixture is soft and fluffy Cut in: To use two knives or a pastry blender to add solid fat (such as butter, shortening, or lard) to dry ingredients Dice: To cut food into small cubes of uniform size and shape Fold: To gently combine ingredients by a combination of two motions: cutting vertically through the mixture and sliding the spatula across the bottom of the bowl and up the sides turning the ingredients over.

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Fry or pan fry: To cook food in a small amount of hot fat or oil (Also see saut ) Grate: To shred food by rubbing it over the holes of a grater Knead: To work and press dough with the heels of your hands so the dough becomes stretched and elastic Mix: To stir until all ingredients are distributed evenly Parboil: To boil until partially cooked Pur e: To blend a food until it is smooth and of fine texture Saut : To fry lightly and briefly over high heat, turning frequently Simmer: To cook in liquid just below the boiling point Bubbles form slowly and break below the surface Steam: To cook on a rack or strainer over a small amount of boiling water in a tightly covered container Stir: To mix, usually with a spoon or spatula, in a circular or figure-8 motion.

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Let s take the order management system example in Figure 1.6. Suppose that our orders are just too big, and there are too many for the network to support. We might fix this by revamping the system to use a database to store order data. In this case, the first node in the system would store data in the database. Other nodes, as pictured in Figure 1.9, would grab only the data they needed from the database, thus reducing the overall traffic requirements. Note there are still messages being sent from one node to the next, but these can be very small notification messages instead of larger, bandwidthhogging data messages. Keep in mind that when we redesign the data architecture, we might be adding network hops. In this case, we are replacing one network hop from one node to the next with three network hops, one from the node to the next to say go, and two to get the data from the database. If the total requirements of these three hops exceed the original one, we have made the problem worse, not better. For example, if the original hop would have been 1 MB of bandwidth, but the new set of hops is 1.5 MB, we have added network traffic.