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A detailed account of the SEF and its implementation is beyond the scope of this chapter refer to the work of Marquez, Zigman, and Blackburn [Marquez 2000] for details. However, we will briefly mention two implementation issues. The first of these is the way that the SEF deals with system classes. Because Java system classes are not directly modifiable, the SEF uses a proxying approach whereby references to the target system class are redirected transparently to a proxy for the system class. Although the SEF cannot modify any of the system class methods, the proxy mechanism can be used to redefine any of the methods, calling back to the unmodified system class if desired. Extensions defined with respect to a system class are, of course, applied to any class that inherits from the system class. The second important issue is the impact of the SEF on Java's introspection mechanisms. Because the SEF rewrites classes and in many cases generates new classes, methods such as getclass() may return unexpected results. Fortunately the SEF can rectify such confusing side effects automatically by semantically extending Java's introspection mechanisms to reflect the desired behavior.

INTRODUCTION 1.1 Scope Spe cif 1.2 Purpose Ou icatio 1.3 System Overview n tln REFERENCED DOCUMENTS e REQUIREMENTS 3.1 Operational Performance Characteristics 3.1.1 System Entity Definition 3.1.2 System Mission(s) 3.1.3 Phases of Operation 3.1.3.1 Pre-Mission Phase Operational Capabilities 3.1.3.1.1 Operational Capability Requirement 3.1.3.1.2 . 3.1.3.1.3 Operational Capability Requirement 3.1.3.2 Mission Phase Operational Capabilities 3.1.3.2.1 Operational Capability Requirement 3.1.3.2.2 Operational Capability Requirement 3.1.3.2.2.1 Op l. Capability Reqmts. 3.1.3.2.2.2 ... 3.1.3.2.2.3 Op l. Capability Reqmts. 3.1.3.3 Post-Mission Phase Operational Capabilities 3.1.4 Mission Reliability 3.1.5 System Maintainability 3.1.6 System Availability .

Figure 31.6 De ning a Speci cation s Section 3.1 Operational Characteristics (Level 1 system)

2.0 3.0

Understanding resource requirements over the application execution cycle (time) will allow you to better match applications to be run concurrently within the virtual environment on a single blade. Q Do your applications rely heavily on disk accesses

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By abstracting over storage, the application developer is freed from explicit concern for the characteristics of the underlying storage architecture whether the system is scalable, distributed, or what the interface of the particular system is. Furthermore, as the demands of the application change, the choice of most suitable storage platform may

INTRODUCTION 1.1 Scope Ou 1.2 Purpose tlin 1.3 System Overview e REFERENCED DOCUMENTS REQUIREMENTS 3.1 Operational Performance Characteristics 3.1.1 System Definition 3.1.2 System Mission(s) 3.1.3 System Phases of Operation .. 3.2 System Capabilities 3.2.1 System Capability Architecture 3.2.2 Phase-Based Capability Application Matrix 3.2.3 Capability #A1 3.2.3.1 Capability #A11 . 3.2.3._ Capability #A1_ 3.2.4 Capability #A2 3.2.5 Capability #A3 3.2.6 Capability #A4 3.3 System Interfaces 3.4 Design & Construction Constraints ...

System/Entity)

also change. If the application, through a layer of abstraction, has become independent of the particular storage platform, the storage system may be changed without perturbing application code. In this section we identify PSI, which is an instantiation of the

31

Applications with heavy disk access requirements, such as some databases, may not be the best candidates for a virtual environment until the virtual I/O performance issues are addressed (see Choosing a Virtualization Architecture later in this chapter).

Speci cation development approaches ARE NOT foolproof. Approaches are ONLY as GOOD as the analysts who identify and specify the requirements. However, the model-based structured analysis approach is superior to the feature-based method for ensuring more complete coverage of SYSTEM capability requirements during all phases and modes of operation.

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