Non-stationary Simulation of Computer Systems and Dynamic Performance Evaluation: A Concern-Based Approach and Case Study on Cloud Computing

This paper introduces an approach to the design of discrete event simulation experiments aimed at transient performance analysis. Specially in complex, multi-tier applications, the net effects of small delays introduced by buffers, IO operations, communication latency and averaged measurements, may result in significant inertia along the input-output path. In order to bring out these dynamic properties, the simulation experiment should excite the system with non-stationary workload under controlled conditions. The work discusses the dynamic properties of large-scale distributed computer systems and how these may impact delivered performance. These rationales are explored to motivate a concern-based architecture which captures the elicited requirements. The design approach is systematic formulated and illustrated by a case study on extending a well-known cloud computing simulation framework to meet the aimed features. Experimental results of ongoing work are also addressed.