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Now let s suppose that we have the system shown in Figure 26.5. The SYSTEM consists of PRODUCTS 1 and 2. PRODUCT 1, a large, complex design, consists of SUBSYSTEMs 1 and 2. PRODUCT 2, a simpler design, consists of hardware con guration item (HWCI) 21 and computer software con guration item (CSCI) 21. We apply the SE Process Model to each entity as illustrated by the boxes. Application of the SE Process Model to each entity continues until the SE design is mature and ready to commit to implementation. Figure 26.6 illustrates the state of the system design solution at completion. Here we see a multi-level framework that depicts the horizontal work ow progression over time. Vertically, the Requirements, Operations, Behavioral, and Physical Domain Solutions are decomposed into various levels of abstraction. Collectively the framework graphically illustrates a system, which by de nition, is the integration of multiple levels of capabilities to a higher level purpose that is greater than their individual capabilities.

10

A transcribed region consists of an ordered collection of primary transcripts Each of these in turn is either an intron, which is not transcribed into RNA, or a spliced transcript component, which eventually is In essence, the model has to represent the fact that the introns are removed from the transcribed region, and that the spliced transcript components that result are combined to form spliced transcripts Furthermore, there is more than one way in which a collection of spliced transcript components may.

System Performance Specification (SPS)

26

Where: Where: R = Requirements Solution Domain R = Requirements Solution Domain O = Operations Solution Domain O = Operations Solution Domain BB = Logical Solution Domain = Logical Solution Domain PP = Physical Solution domain = Physical Solution domain Requirements Allocation, Flow Down, & Linking

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be assembled to form a spliced transcript. These spliced transcripts represent some form of RNA. The different kinds of RNA have different roles; for the purpose of this chapter, it is probably most relevant to note that mRNA is in turn translated into protein. This section has provided some details on how genomic information can be modeled using object-modeling techniques. The purpose of the section is to illustrate that the

BMC via a separate hardware path. This provides the ability to perform power-state management for each blade in the chassis. Via this interface, it is possible to turn on a powered-off blade. The BMC and the NIC can operate in what is called flea-power mode, allowing machines to be brought online and offline without physically having to go to the system.

13 Requirements Allocation, 15

System System Performance Performance Specification Specification (SPS) (SPS) 5 PRODUCT PRODUCT Item Item Development Development Specification Specification

15

7 PRODUCT PRODUCT Level Level Behavioral Behavioral Design Design Solutions Solutions 11 SUBSYSTEM SUBSYSTEM Level Level Behavioral Behavioral Design Design Solutions Solutions 15 HWCI/CSCI HWCI/CSCI Behavioral Behavioral Design Design Solutions Solutions

Management Service Processors (Management Modules)

8 PRODUCT PRODUCT Level Level Physical Physical Design Design Solutions Solutions 12 SUBSYSTEM SUBSYSTEM Level Level Physical Physical Design Design Solutions Solutions 16 HWCI/CSCI HWCI/CSCI Physical Physical Design Design Solutions Solutions

13 HWCI/CSCI HWCI/CSCI Requirements Requirements Specification Specification (HRS/SRS) (HRS/SRS)

information models can become quite complex. In fact, the basic genome sequence information is related to a significant number of other information resources, for example describing protein structures, similarities between sequences, patterns in sequences, levels of mRNA in a cell in different environmental conditions, and so on. These other sources of information must themselves be modeled within a database if it is to be straightforward to perform analyses over the data. Thus genomic data should be seen as presenting significant modeling and management challenges for databases, at least some of which can be addressed using object database techniques.

System Performance Specification (SPS)

A more elaborate and capable approach taken by newer blade server systems is the use of a management service processor, also called a management module. A management module is a complete (shared) management system with its own separate management processor, its own memory, and its own NIC. The service processor in the management module communicates with service processors on each blade via its own internal bus. The management module can perform all of the functions listed previously under BMCs, as well as providing other capabilities and protocols such as IPMI (see the next section) and KVM switching (these functions vary by vendor and product). The management module stores all event and error information and is the focal point for any troubleshooting, monitoring or active management of components within the chassis. It is known externally by its IP address and is accessible via a web browser.

M Mu ult lti-iL Le evv eel lI Ine nt terr acc a ti tio on ns& s &

Most bioinformatics applications are analysis oriented. Although there are regular and ongoing updates to information sources, these tend to be monotonic, with only peri-

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