By concurrent design we mean* in pan, concurrent consideration of a broad range of life-cycle constraints concerning, for example manufacturing and maintenance. The multitude of constraints arising from these considerations make it difficult to identify satisfactory designs. An alternative to explicitly considering all constraints is to determine which of the constraints are relevant, redundant...

Adaptive optimal design with a cost constraint is considered, both for LS estimation in nonlinear regression and ML estimation in Bernoulli-type experiments, with possible applications in clinical trials. We obtain the strong consistency of the estimators for designs over a finite space, both when the cost level is fixed (and the adaptive design converges to an optimum constrained design) and w...

Data caching is a well-understood technique for improving the performance and availability of wide area distributed applications. The complexity of caching algorithms motivates the need for reusable middleware support to manage caching. To support diverse data sharing needs effectively, a caching middleware must provide a flexible consistency solution that (i) allows applications to express a b...

One of the most fundamental systems analysis and design principle is that of “abstraction”. Essentially, the purpose of abstraction is to clarify or highlight some features of a problem by concealing others. The set of viewpoints identified in the ODP architecture is merely a pragmatic classification of concerns. A viewpoint leads to a representation of the system with emphasis on a specific se...

In distributed online collaboration applications, such as digital white board and online gaming, it is important to guarantee the consistency among participants’ views to make collaboration meaningful. However, maintaining even a relaxed consistency in a distributed environment with a large number of geographically dispersed participants still involves formidable communication and management co...

Adaptive optimal design with a cost constraint is considered, both for nonlinear regression and Bernoulli type experiments, with application in clinical trials. The strong consistency and asymptotic normality of the estimators is proved for designs over a finite space, both when the cost level is fixed, and the adaptive design converges to an optimum constrained design, and when the objective i...

It has been established elsewhere [Reyn92] that hardware to support parallel discrete event simulations (PDES) is desirable. We describe the steps leading to the implementation of a hardware-based framework to support PDES. We begin with an exploration of the criteria necessary to make such a framework both practical and useful, concluding that maintenance of sequential consistency is sufficien...

Optimal design under a cost constraint is considered, with a scalar coefficient setting the compromise between information (i.e., precision of the estimation of the model parameters) and cost. For suitable cost functions, by increasing the value of the coefficient one can force the support points of an optimal design measure to concentrate around points of minimum cost. When the experiment is c...

We consider a class of constraint logic programs including negation that can be executed bottom up without constraint solving, by replacing constraints with tests and assignments. We show how to optimize the bottom-up evaluation of queries for such programs using transformations based on analysis obtained using abstract interpretation. Although the paper concentrates on a class of eeciently exe...

This paper presents a new application of logic programming to a real-life problem in hydraulic engineering. The work is developed as a collaboration of computer scientists and hydraulic engineers, and applies Constraint Logic Programming to solve a hard combinatorial problem. This application deals with one aspect of the design of a water distribution network, i.e., the valve isolation system d...