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Titlebook: Distributed Computing and Internet Technology; 7th International Co Raja Natarajan,Adegboyega Ojo Conference proceedings 2011 Springer Berl

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Interactive Mathematics Teacher Activities-scale distributed systems. The execution of a large-scale distributed system consists of many structured conversations (or sessions) whose protocols can be clearly and accurately specified using a theory of types for the .-calculus, called .. The proposed methodology promotes a formally founded, an
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Interdisciplinary Evolution Researchl on the transactions can be implemented by using Multi granular lock models. Though several semantics based multi granular lock models have been proposed in the literature for object-oriented databases, they provide fine granularity of resources for runtime requests. However they have not fully uti
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Bodily Mimesis and the Transition to Speechnter type environments, . scheduling with . data transfer requests has been studied in the literature [1,3,4]. In this paper, we propose a . (CSM) towards generating contention free communication schedules for many-to-many communication with arbitrary sized data. Towards this end, we propose three a
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Communication and Human Uniquenessesources so as to optimize a given objective function. The objective can be system optimality which tries to minimize mean response time of all users or individual optimality which tries to minimize each user’s individual response time. The load balancing can be achieved either statically or dynamic
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https://doi.org/10.1007/978-3-319-02669-5bilistic routing for this problem using only the total end-to-end delays. These algorithms use the smoothed functional (SF) approach to optimize the routing probabilities. In our model all the queues are assumed to have constraints on the average queue length. We also propose a novel quasi-Newton ba
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Institutional Evolution of Ancient Greeceting topology containing only bidirectional links is strongly connected. This problem is known to be NP-hard. As this problem is very much significant from application point of view, several heuristic algorithms have been proposed. In this paper, we propose a new incremental power greedy heuristic f
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