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

摘要

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.