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This article describes a set of metrics for a message-passing-based asynchronous Realtime Interactive System (RIS). Current trends in concurrent RISs are analyzed, several profiling tools are outlined, and common metrics are identified. A set of nine metrics is presented in a unified and formalized way. The implementation of a profiler that measures and calculates these metrics is illustrated. The implementation of an instrumentation and a visualization tool are described. A case study shows how this approach proved beneficial during the optimization of latency of an actual system.

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This article illustrates the design and development of distribution properties for Realtime Interactive Systems (RIS). The approach is based on the actor model for concurrent computation. The actor model provides a unified API for intra-node as well as for inter-node distribution and strongly facilitates the development of concurrent applications. Several benchmarks analyze vital performance properties to support the design decisions taken. The benchmarks describe typical setups found in RIS-applications, i.e., distributed rendering for large screen and tiled displays in immersive VR setups. Actual and potential performance impacts caused by the actor middleware are analyzed and identified and alternative solutions to overcome these impacts are provided.