Abstract
Nowadays, cluster computing is a common strategy to achieve high performance computing and resolve computationally intensive tasks such as flight simulation, medical imaging, etc. Two powerful tools have been used to facilitate the development of cluster oriented applications, namely the message passing interface (MPI) and the parallel virtual machine (PVM). However, there are situations in which the application execution is time constrained, e.g., complex real-time image processing, but neither MPI or PVM take time constraints in consideration. Therefore, this paper proposes a cluster integration methodology that is amenable to real-time analysis and implementation, based on Linux with improved temporal resolution and a high-speed TDMA interconnection bus built on top of SCI.The main contribution of the paper is a worst-case response time analysis, its characterization using randomly generated task sets and its verification using a system simulator. The proposed analysis can be applied to a class of distributed real-time systems in which a set of nodes, running tasks under fixed priorities, communicate over a TDMA bus, but it is overly pessimistic in the presence of a significant percentage of communicating tasks.
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