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When discussing the life cycle we are concerned with operations that affect an object s existence An object comes into existence through execution of an object creation operation Objects might be copied or moved to different locations and their life cycle terminates when they are deleted The life cycle of distributed objects is generally more complicated than that of centralized objects Creation is more complicated because the new object might have to be created on a remote host Object constructors of programming languages (for example C or Java) cannot specify these locations Secondly, the application of the location transparency principle to the creation problem means that the physical identification of the host where the object is to be created must be transparent for both the client that wants to create the object and also the object itself.

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on Machine Learning (ECML 94, Catania, Italy), 171 182 Springer-Verlag, New York, NY, USA 1994 [Kononenko 1995] I Kononenko On Biases in Estimating Multi-Valued Attributes Proc 1st Int Conf on Knowledge Discovery and Data Mining (KDD 95, Montreal, Canada), 1034 1040 AAAI Press, Menlo Park, CA, USA 1995 [Koza 1992] JR Koza Genetic Programming 1 & 2 MIT Press, Cambridge, CA, USA 1992/1994 [Krippendorf 1986] K Krippendorf Information Theory and Statistics (Quantitative Applications in the Social Sciences 62) Sage Publications, London, United Kingdom 1986 [Kruse and Schwecke 1990] R Kruse and E Schwecke Fuzzy Reasoning in a Multidimensional Space of Hypotheses Int Journal of Approximate Reasoning 4:47 68 North-Holland, Amsterdam, Netherlands 1990 [Kruse et al 1991] R Kruse, E Schwecke, and J Heinsohn Uncertainty and Vagueness in Knowledge-based Systems: Numerical Methods (Series: Artificial Intelligence) Springer-Verlag, Berlin, Germany 1991 [Kruse et al 1994] R Kruse, J Gebhardt, and F Klawonn.

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

An additional problem arises for copying and moving objects due to the potentially heterogeneous source and target platforms Copying and moving is not only complicated by heterogeneity of the object s data representation but also by heterogeneity of the machine code that executes operations when the source and target platforms have different processors and operating systems If an object is to be copied, for instance from a UNIX Workstation to a personal computer, not only must the data representation in the object attributes be changed, but also the operations are executed by a different processor architecture and operating system Moreover, it mayhappen that an object that needs to be moved is currently executing an object request.

This over-writes the previous entry, and, notice that it is a telnet address! The attacker is in to the server s le structure Now that this method of attack has been recognised, some vendors of rewalls are producing new systems (and patches for old systems) which de-fragment the packets and examine them for danger, before passing them on..

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Should the move operation be delayed until after the operation is completed or will the execution state of the object be moved with the object The destruction of objects is also more difficult in a distributed setting Garbage collection techniques, which are available in Smalltalk and Java, assume that all objects are available in one address space Deletion of distributed objects is more complicated In particular, it is never the case that all objects are activated all the time The techniques can therefore not be applied directly and even if they are, as in the case of Java/RMI, there is a need for the application programmer to be aware that objects might have been deleted Related to the discussion of the object life cycle is the concept of object composition A composite object is built by aggregating component objects.

Foundations of Fuzzy Systems, J Wiley & Sons, Chichester, United Kingdom 1994 Translation of the book: Fuzzy Systeme (Series: Leitf den und Monograa phien der Informatik) Teubner, Stuttgart, Germany 1993 [Kruskal 1956] JB Kruskal On the Shortest Spanning Subtree of a Graph and the Traveling Salesman Problem Proc American Mathematical Society 7(1):48 50 American Mathematical Society, Providence, RI, USA 1956.

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