In our paper, "An analytical model for designing memory hierarchies" (see ibid., vol. 45, no. 10, p. 180-1, 194 (1996)), we made the following statement: "Failing to apply a specific model of workload l...
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In our paper, "An analytical model for designing memory hierarchies" (see ibid., vol. 45, no. 10, p. 180-1, 194 (1996)), we made the following statement: "Failing to apply a specific model of workload locality makes it impossible to provide an easily used, closed-form solution for the optimal cache configuration, and so the results from these papers have contained dependencies on the cache configuration-the number of levels, or the sizes and hit rates of the levels." Our description did not accurately reflect the contents of the paper by J.E. MacDonald and K.L. Sigworth (1975), and we regret any false impressions caused by the inaccuracy.
This paper targets engineers and practitioners who want a simple procedure to compute the mean performance measures of the Batch Markovian Arrival process (BMAP/G/1) queueing system when the parameter matrices order i...
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We analyze the scheduling aspects of database queries submitted to an abstract model of a very large distributed system. The essential elements of this model are: (a) a finite number of identical processing nodes with...
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As a very promising new data model, constraint database is attracting a growing interest recently. For better applications, we need to study its design theory. But to the best of our knowledge, no papers about the des...
Real time logic (RTL) was introduced as a formalism for reasoning about the relative and absolute timing properties of computational tasks of discrete real-time systems. Extended real time logic (ERTL) is a formalism ...
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Extended Real Time Logic (ERTL) is proposed for the modelling and analysis of hybrid systems, taking as a basis Real Time Logic (RTL). RTL is a first order logic with uninterpreted predicates which relate events of a ...
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The Center of Excellence for software and systemsengineering (CECASE) at the University of Kansas was established by the State of Kansas as a vehicle for developing and transferring advanced technology to Kansas busi...
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The Center of Excellence for software and systemsengineering (CECASE) at the University of Kansas was established by the State of Kansas as a vehicle for developing and transferring advanced technology to Kansas businesses. In this paper we describe three CECASE projects that used three different methods of successfully transferring advanced Artificial Intelligence (AI) technology to Kansas companies. We describe the problems encountered, approaches tried, and successful solutions used. These projects and associated Al technology transfer methods can be used as models by other research and development organizations who wish to enhance the probability of success of their technology transfer.
View materialization is known to be a valuable technique for performance optimization in relational databases, and much work has been done addressing the problem of consistently maintaining relational views under upda...
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View materialization is known to be a valuable technique for performance optimization in relational databases, and much work has been done addressing the problem of consistently maintaining relational views under update operations. However, little progress has been made thus far regarding the topic of view materialization in object-oriented databases (OODBs). In this paper, we demonstrate that there are several significant differences between the relational and object-oriented paradigms that can be exploited when addressing the object-oriented view materialization problem. We use the subsumption relationships between classes to identify branches of classes to which we do not need to propagate updates. Similarly, we use encapsulated interfaces combined with the fact that any unique database property is inherited from a single location to provide a "registration/notification" service for optimizing incremental view updates. We also report results from the experimental studies we have run on the MultiView system measuring the impact of these optimization strategies.
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