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EN
In this paper, we present a number of issues that arise in the design and building of distributed systems for time-constrained environments. These issues include: a guarantee mechanism for time-critical tasks, the possibilities of task execution in the order defined by the precedence graph, non-blocking of resources, and interprocess communication. The building of hard real-time distributed systems is related to the implementation of these systems in the local area networks. Each implementation of the distributed hard real-time system regards the problem of what must be controlled by the operating system or bt the real-time application. In this paper, we also present othes issues associated with the implementation of these, namely: task scheduling, resource management, real time synchronization. We examine some examples of the existing distributed systems, describe their structuring and implementation, and compare their principal features.
EN
This paper surveys the state of art in quantification of hard real-time distributed systems. It introduces some new performance measures used in real-time computing and identifies key issues in the design and analysis of these systems. This paper outlines also typical requirements facing designers of safety critical hard real-time systems.
EN
In this paper, we present an overview of the existing distributed systems for hard real-time environments. We describe their structures and ways in which these systems are running. The paper discusses the ability of software of these systems to survive the failure of the part of the hardware on which it is executed. The preservation of essential data and reconfiguration, to provide a degraded service with the remaining processing resources, is presented. Finally, we make some comparison between these systems.
EN
This paper is devoted to a fundamental problem arising during a design of distributed hard real-time systems - a cost minimization of located computers in a network working in a time-constrained environment. As regard our problem, each computer location must take into consideration a prper class of processor. In contrast to the existing traditional solutions of this problem , we used genetic algorithms for a required optimization. We present its application in obtaining all main parameters of designed systems. Genetic algorithms are shown to be effective for the solution of computer assignment problem in distributed hard real-time systems.
EN
This paper examines the utility of neural networks for optimization problems occuring in the design of distributed hard real-time systems. In other words, it describes how neural networks may also be used to solve some combinatorial optimization problems, such as: computer locations in distributed system, minimization of overall costs, maximization of system reliability and availability, etc. All requested parameters and constraints in this optimization process fullfil the conditions for design of distributed hard real-time systems. We show that the neural network approach is useful to obtain the good results in the optimization process. Numerical experimentation confirms the appropriateness of this approach.
PL
Podstawowym problemem dotyczącym projektowania rozproszonych systemów komputerowych nieprzekraczalnego czasu krytycznego jest opracowanie jego architektury sprzętowej. Polega ono m.in. na przydziale komputerów o określonych szybkościach przetwarzania do poszczególnych węzłów przyjętej topologii rozproszonego systemu. W pracy zaproponowano użycie sztucznej sieci neuronowej do projektowania rozproszonych systemów komputerowych nieprzekraczalnego czasu krytycznego. Dzieki jej zastosowaniu zminimalizowano koszty inwestycyjne i operacyjne konstrukcji takiego systemu, jak również przeprowadzono maksymalizację jego niezawodności i osiągalności.
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