In concurrent distributed systems, in contrast to sequential ones, it is very difficult to gain a meaningful view on the run of a computation. Yet, this is essential in order to better be able to understand, design, and control distributed systems. This Problem is examined under different aspects and circumstances. Based on the deficiencies of the usual approaches, new and more powerful tools and solutions are developed using causality and logical time. The main focus is on the search for a sensible and efficient mechanism for capturing causality in systems featuring dynamic process creation. However, DSM systems are also taken in consideration. Another part of the work is the exemplary implementation (proof of concept) of some of the newly developed methods.
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In concurrent distributed systems, in contrast to sequential ones, it is very difficult to gain a meaningful view on the run of a computation. Yet, this is essential in order to better be able to understand, design, and control distributed systems. This Problem is examined under different aspects and circumstances. Based on the deficiencies of the usual approaches, new and more powerful tools and solutions are developed using causality and logical time. The main focus is on the search for a sens...
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