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later review, perhaps using an interactive digital highlighter to mark sections of the synchronized lecture transcript the student feels are especially insightful or relevant. Video clips representing those highlighted sections can be assembled into a single, individualized edit, to aid student review later. When mobile broadband streaming becomes ubiquitous, the potential for learning wherever you happen to be becomes realistic. Students on their morning commute can participate in coursework, rather than sitting blankly waiting for the journey to be over. With mobile streaming tutorials, the wait by your broken-down car until the repairman arrives could be made productive. A virtual mechanic might lead you through all the things to check, via your mobile streaming media receiver, before the roadside assistance mechanic arrives. Any situation where the advice of an expert would be useful could be helped if streaming tutorials, were available on demand.

Type 3 drivers once again present a different set of trade-offs. One major advantage claimed for the Type 3 architecture is that the client-side code can be written in Java, using the network interfaces provided by other Java APIs. Notice also that the client-side code is DBMS neutral; it does the same work no matter what the target DBMS on the server. This means that the client-side code is very portable, able to run on any system that supports a Java Virtual Machine (JVM) and Java network APIs. Type 3 drivers share one disadvantage with Type 1 drivers: the use of a vendor-neutral network layer, just like the use of a vendorneutral ODBC layer, means that some capabilities of the underlying DBMS may be inaccessible through the intermediate layer. A Type 3 architecture also involves a double translation of each JDBC request, just as in Type 1; however, one of the translations takes place on the server system, minimizing the client-side impact. A Type 4 driver is a Network-Proprietary driver. The driver translates JDBC requests into network messages, but this time in a DBMS-proprietary format, as shown in Figure 19-35. The driver is written in Java and implements a network client for the DBMS networking software, such as Oracle s SQL*Net. On the server, there is no need for a middleware layer, since the DBMS server already provides support for the DBMS vendor s own client/server networking. Query results flow back across the network, again in vendor-proprietary format, and supplied back to the requesting program.

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Part V:

Estimates of permissible stress level for long and satisfactory performance of function as listed above are based on design factors reflecting these experiences and are modified by the following: 1 Uncertainty as to material properties within a part, within a bar of steel stock, and within a heat of steel or whatever material is being considered for the design Properties used by a designer may come not from an actual test, but from historical experience, since parts are sometimes designed before the material from which they will be made has even been produced 2 Uncertainty owing to the discrepancy between the designed part and the necessarily small size of the test specimen The influence of size on strength is such that smaller parts tend to exhibit larger strengths 3 Uncertainty concerning the actual effects of the manufacturing process on the local material properties at the critical locations in the part.

Type 4 drivers preserve one of the important advantages of Type 3 drivers. They can be implemented in pure Java, so like Type 3, they are portable across computer hardware and operating systems. However, unlike Type 3 drivers, they are DBMS-specific, so different client-side code is required for each DBMS brand you want to access. A Type 4 architecture involves less overhead on the server system and may therefore deliver slightly better performance. In practice, the overhead of the network messaging will almost always swamp this advantage, except in very high transaction rate applications. Figure 19-36 summarizes the four JDBC driver types and shows how they relate to one another. The two columns divide the driver types based on whether they use a vendor-neutral intermediate layer (left column) or translate directly from the JDBC API to a DBMSproprietary interface. The two rows divide the driver types based on whether the translation to a specific DBMS API occurs on the client side (upper row) or on the server side (lower row). As the figure shows, these two decisions result in four (2 2) driver types.