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For instance the locomotive application server requires a cache size of 40MB, and the application server for the model data requires only 15MB The selection and query servers can also be adapted to various dialog categories The selection servers are partitioned in the same way as the update servers, so that there are selection servers, for example, for locomotives, carriages, model data, maintenance schedules, and access control According to the access profiles there are different numbers of selection servers for each selection category For instance, four selection servers for locomotives are required for good throughput, but only three selection servers for model data The partitioning of the query servers is the same as for data-specific servers; that is, different query servers handle queries on locomotives, on carriages, and on all vehicles.

B_113

If you want to accomplish the performance-based outcome speci ed by SYSTEM Requirement SYS_11, SUBSYSTEM A must accomplish Requirement A_11 and provide the result (outcome) to SUBSYSTEM B, which must accomplish requirement B_11 and produce the nal result (outcome). How do SUBSYSTEMs A and B accomplish requirements A_11 and B_11 respectively SUBSYSTEM A accomplishes requirement A_11 by performing requirements A_111 and A_112. SUBSYSTEM B accomplishes requirement B_11 by performing requirements B_111, B_112, and B_113. Consider the following example:

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Dialog-oriented servers consider overlapping object sets from the very beginning because they are designed with the assumption that the dialogs and therefore the accessed persistent objects will overlap This design issue is promising for future requirements If new or changed requirements have to be taken into account in a new DaRT release then the according dialogs might access objects that are already addressed by another dialog However, there will be no problem because locking conflicts of concurrent transactions were already considered The only design issue is to examine the amount of objects in the overlapping object set and to ensure that there will be a reasonable size in the intersection..

Find out whether your management software vendor can provide add-on modules for support of blade and/or virtual environments so your people don t have to (potentially) interface to multiple management consoles and learn a completely different management interface. With the higher density of blades and with multiple virtual machines on top of that, change control can quickly become a nightmare. See whether your current change-control software also supports blades and virtual machines. Look for management tools that provide a broad view of both the entire blade infrastructure and the virtual environment, and also can drill down at the component level. This will give you the most flexibility and allow administrators to manage more entities.

Suppose that we have a simple system that has a remote sensor (SUBSYSTEM A). The sensor collects input data and transmits it to a central site as illustrated in Figure 32.5. The central site (SUBSYSTEM B) receives and processes data to produce a report. So, the Remote Sensor Development Speci cation must state that it: 1) collects data (A_111) and 2) transmits data to the central site (A_112). The Central Site Development Speci cation includes the remainder of the requirements use case thread to: 1) receive data (B_111), 2) process data (B_112), and 3) report data (B_113).

When requirements are derived, the allocation and ow down process should be veri ed via bottomup requirements traceability linkages to higher level requirements and ultimately to the source or originating requirements.

32

Comparing the four alternatives for DaRT, obviously the uniform servers were a reasonable choice for the first prototype, but they do not scale at all. To guarantee the required response time the cache size has to be the same as the database size in order to avoid periodic cache overflows resulting in periodic cache evictions. Thus the

In a traditional server environment, there is a one-to-one relationship between the application and the systems resources. In a virtualized environment, this is not the case. To effectively and efficiently manage resource allocation, you must, at the very least, have tools that monitor resource utilization so that you can move applications and/or resources around if you need to. The numberone reason, but not the only one, for application performance decreasing in a virtualized environment is too little memory. Remember that CPU utilization is only part of the calculation a server running at 10% CPU utilization could have an I/O bottleneck. Q Does the management system provide the ability to monitor resource utilization

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