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The two approaches for caching on the client side are looking promising in terms of performance. The domain objects can be cached and accessed efficiently. However, they differ in the implementation technique by using delegation or inheritance. The delegation approach of class-based caching has a dictionary for each domain class and can thus provide global information about all cached objects. However, handling a large cache and managing cache eviction is an open issue that requires sophisticated algorithms. The inheritance approach of implicit caching does not require algorithms for cache eviction because the automatic garbage collection of the programming language Smalltalk is exhausted; an implementation with Java would be analogous. A minor disadvantage is that there is no global cache information so that a separate cache component cannot be available. Considering the pros and cons that are summarized in Table 18.2, the DaRT clients are implemented with implicit caching, and not with class-based caching.

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Author s Note 33.2 Remember, the terms Acquirer and System Developer are used in a rolebased context. These terms, as used above, identify the contract level roles and relationships. They also apply in a similar context between SYSTEM and PRODUCT, PRODUCT and SUBSYSTEM development teams; System Developer and Subcontractors, and so on. Why As each team ows down requirements to lower level item development speci cations, the implementer of those requirements must demonstrate to their Acquirer (role) the higher level team that the requirements have been satis ed. Before we address the Requirements Veri cation Matrix (RVM), let s address HOW veri cation methods are selected. Referral For more information about veri cation methods, refer to 53 System Veri cation and Validation practices.

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In general, SEs have four basic veri cation methods available to demonstrate that a system, product, or service meets a speci c requirement. These methods include INSPECTION or EXAMINATION, ANALYSIS, DEMONSTRATION, and TEST. A fth method, SIMILARITY, is permitted by some organizations. Veri cation method selection requires insightful forethought. Why First, veri cation decisions range from simple visual inspections to highly complex tests that include analysis. This can be very costly and consumes valuable schedule time. Second, common sense asks WHY you would want to go to the trouble and expense of performing a TEST when a simple visual INSPECTION is suf cient. So, how do SEs select a method A time-cost driven methodology provides a basis for the veri cation method of decision making as illustrated in Figure 33.1.

Creating a cluster, whether for HA or for HPC (high performance computing), within a bladed or virtual environment works well. The high density and interchangeability of the blades (or virtual environments) makes an ideal environment to pull resources together to address a single task. Q Do you or will you implement clustering At a blade level At a VM level At a data level

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1 Verify by Similarity Yes 2 Similarity Sufficient Yes No 4 No 3 Verify by Verify by Inspection Inspection Yes Select Select INSPECTION Method INSPECTION Method

First of all, DaRT is deployed and more than 800 end-users are working with the widely distributed system. Although in 1995 a small bandwidth of 9600 Baud had to be considered, the design of the three-tier architecture had to ensure good throughput and short response times. Due to object technology in each tier, the communication between the development teams was made easy because everybody was talking about the same classes and objects. There was no misunderstanding because of any semantic gaps between different tiers or layers. Another benefit of thorough usage of object technology was that a mapping layer between the objects of the application domain and flat relational tables, for example, was not required.

Iterate Decision Cycle for Each Requirement Until All Requirements Have at Least One or More Verification Methods 7 Verify by Verify by Analysis Analysis Yes Inspection Inspection Sufficient Sufficient 5 Yes No 8 Select Select ANALYSIS Method ANALYSIS Method 9 Analysis Analysis Sufficient Sufficient Yes 14 No 12 No 10 Verify by Verify by Demo Demo 11 Yes Select Select DEMO Method DEMO Method Demo Demo Sufficient Sufficient Yes 13 No Select Select Test Test Method Method No

Notes Final State 1. Similarity may or may not be allowable as a verification method. 2. Sufficient is defined as adequately verifying full compliance with a specification requirement.

Clusters can be created between multiple blades or even multiple VMs. However, specific clustering software will be required.

Table 18.2 Characterization of Caching Options at the Client Side CLASS-BASED CACHING Concept Performance delegation

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