Non-functional Analysis of Distributed Systems in Unreliable Environments Using Stochastic Object Based Graph Grammars.

In unreliable environments, e.g. wireless networks, often there are messages lost, connection and process crashes, among other undesirable fault occurrences. Mechanisms to enhance the dependability of these systems can be employed, but with a performance cost. Analytical approaches are useful to predict performance and dependability values, guiding the system developer to adjust bounds for specific requirements in complex systems. In this paper we use non-functional analysis of Stochastic Object-Based Graph Grammars (SOBGG) models considering classical fault behaviors in distributed systems, allowing the developer to predict performance and dependability values for high performance and resilient systems. The specific contributions of this paper are: (i) revisit the notion of fault representation to allow non-functional analysis, more specifically, steady-state analysis; (ii) discuss the specification of rates associated to SOBGG rules, describing an adequate approach to distributed systems; (iii) show the suitability of the proposed techniques through their application to a case study. Keywords: Object-based graph grammars, distributed systems, fault-tolerance, non-functional analysis, dependability. [ABSTRACT FROM AUTHOR]