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Re ective middleware is self-aware middleware [8] The re ective middleware model is a principled and ef cient way of dealing with highly dynamic environments yet supports the development of exible and adaptive systems and applications [8] This re ective exibility diminishes the importance of many initial design decisions by offering late-binding and runtime-binding options to accommodate actual operating environments at the time of deployment, instead of only anticipated operating environments at design time [1] A common de nition of a re ective system [6] is a system that has the following: Self-Representation: A description of its own behavior Causally Connected: Alterations made to the self-representation are mirrored in the system s actual state and behavior Causally Connected Self Representation (CCSR) Few aspects of a middleware platform would not bene t from the use of re ective techniques.

4

Task management of multiple tasks prepared by a user is a common problem Envision a computational biologist conducting a comparative study in genome analysis As part of the problem-solving process, multiple, similar experiments must be run These could involve many thousands of subtasks Organizing and scheduling these tasks should be performed by a sophisticated service that utilizes the capabilities of the Grid by reusing the current generation of Grid services (see Figure 55) Taking a closer look at our two examples, we observe that in Grid literature a distinction is made between le transfers, task execution, and information queries However, we believe this distinction is useful only for developers of basic Grid middleware and not for the larger community developing even more advanced Grid services We have demonstrated in [17] that an abstraction of all of these can be, and should be, performed.

Research is ongoing into the application of these techniques in a number of areas within middleware platforms While still relatively new, re ective techniques have already been applied to a number of nonfunctional areas of middleware One of the main reasons nonfunctional system properties are popular candidates for re ection is the ease and exibility of their con guration and recon guration during runtime, and changes to a nonfunctional system property will not directly interfere with a systems user interaction protocols Nonfunctional system properties that have been enhanced with adaptive and re ective techniques include distribution, responsiveness, availability, reliability, faulttolerance, scalability, transactions, and security Two main forms of re ection exist, behavioral and structural re ection Behavioral re ection is the ability to intercept an operation and alter its behavior Structural re ection is the ability to alter the programmatic de nition of a programs structure.

SSC=5,653,437.5; SSR=170,343,939.6; SSE=7,306,879.2; SST=310,933,275; pressure does not effect the moment but it does the actuator model.

Low-level structural re ection is most commonly found in programming languages, that is, to change the de nition of a class, a function, or a data structure on demand This form of re ection is outside the scope of this chapter In this chapter, the focus is on behavioral re ection, speci cally altering the behavior of middleware platforms at runtime, and structural re ection concerned with the high-level system architecture and selection of plugable service implementations used in a middleware platform..

Using such an abstraction will allow us to introduce more easily uniform service speci cations that integrate higher-level functionality such as fault tolerance and self-con guration Without this abstraction, the development of future Grid middleware is rather limited and will not address the more complex management issues Although middleware typically does not contain user-level applications, one must recognize the fact that middleware must be provided to simplify the development of user applications that reuse Grid middleware [19, 20, 21] As part of this effort, tools are created within the NSF Middleware Initiative (NMI) to provide portal middleware for Grids [19] Additional efforts are already under way to provide similar functionality as part of JavaBeans by, for example, the Java CoG Kit Signi cant effort also is currently being spent in developing tools that make the task of the Grid system administrator easier Administrative and monitoring services are under.

Table 9.3. Number of zeros in each variable Variable Pregnant Plasma Glucose DiastolicBP TricepsSFT Serum Insulin BMI DPF Age Class Number of zero values 111 5 35 227 374 11 0 0 0

where '1 is the attenuation constant, and (1 is the time delay. The returned pulse from a second object can be written as p2 t '2 p t (2 17:4-2