Large-scale periodicity: problems with cellular models

Simulating Large-scale Networks with Analytical Models

Discrete-event simulation of computer networks has significant scalability issues, which makes simulating large-scale networks problematic. We propose a high-level abstraction modeling network domains, interdomain links and traffic with highly scalable analytical models, which is much more efficient but slightly less accurate than node-by-node models. Thus, simulation scenarios containing sever...

A Compromise Decision-making Model for Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty

This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. This compromise programming method is ba...

Large-scale assembly job shop scheduling problems with bill of materials: models and algorithms

In this paper, we study an assembly job shop scheduling problem with tree-structured precedence constraints and jobs characterized by specific bills of materials. We propose a mathematical model to deal with a simplified version of the problem, as well as a fast and efficient constructive heuristic that is able to easily face real-world-sized instances. The production schedule takes into accoun...

The application of DEA and queuing models to large scale computer networks

Growing large-scale cellular arrays of processors

Molecular-scale integrated circuits will provide hardware designers with astounding computational resources. However, current design methodologies—which already struggle to exploit the resources available today—are ill-suited to the complexity and high fault rates of these novel technologies. Nature, on the other hand, has evolved ways of coping with these issues. A human being consists of appr...