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Titlebook: Advances in Information Systems; First International Tatyana Yakhno Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 Dat

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Yuheng Cai,Dong Li,Bingruo Duany means that we do not know exactly when a particular event happened. In this case, temporal points can be defined within some temporal intervals. Measurements of these intervals are not necessarily based on exactly synchronized clocks, and, therefore, possible measurement errors need to be taken in
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https://doi.org/10.1007/978-94-007-6184-1ly have some degree of overlap, i.e. may have common subqueries. Therefore a significant performance improvement can be obtained by optimizing and executing the entire group of queries as a whole, thus avoiding to duplicate the optimization and processing effort for common parts. This has suggested
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https://doi.org/10.1007/978-1-4020-8241-2rs can only be implemented on environments that ensure QoS for the existing services. Usually, routers are the network resources that undergo changes in order to implement it - hosts have little or no influence. This paper presents an implementation of QoS structures offered directly from the host.
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Cities between Competitiveness and Cohesionnce between these mechanisms. This in turn affects the overall performance, throughput and scalability of group applications utilizing these protocols. However, there exists a substantial class of distributed applications for which the throughput stability guarantee is indispensable. Pbcast protocol
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Cities between Competitiveness and Cohesiont issue that has not been addressed satisfactorily in the existing KBESs is that they try to make posing queries simple by letting the users specify what they want to compute rather than how to compute it. In this paper, we show that the solutions computation process can be modeled with Constraint S
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