Abstract
With the increasingly complexity of ubiquitous computing environment, large and distributed embedded software are used more and more widely. After a design model has been completed, assigning components in the design model while meeting multiple runtime constraints is a critical problem in model-based large distributed embedded software development. In this paper, we propose a new method of component assignment. This method uses backtracking algorithm to search the assignment space, and a balance distance function to decide the feasible assignment scheme. Unlike other methods that view computation, communication, and memory resources as independent resources, this method analyzes their holistic influence on component assignment with the goal of keeping the balance between computation resource consumption and memory resource consumption, and the balance of execution density among different processors. Experimental evaluation shows the component assignment method has high success ratios, low time overheads, and good scalability.
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Gao, Z., Wu, Z. (2007). Component Assignment for Large Distributed Embedded Software Development. In: Cérin, C., Li, KC. (eds) Advances in Grid and Pervasive Computing. GPC 2007. Lecture Notes in Computer Science, vol 4459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72360-8_54
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DOI: https://doi.org/10.1007/978-3-540-72360-8_54
Publisher Name: Springer, Berlin, Heidelberg
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