Benchmarking and Evaluation Support for Self-Adaptive Distributed Systems

Abstract

Increasingly, distributed systems have to deal with highly dynamic and hardly predictable environments. This trend, in conjunction with rising demands for sophisticated non-functional system requirements, challenges both the development and operation (i.e. management) of traditional distributed systems. One promising approach to cope with these challenges are self-adaptive distributed systems that are characterized by the capability to configure and maintain themselves. However, the inherent dynamic of self-adaptive systems requires intensive evaluation and benchmarking efforts in order to ensure the intended system behaviour. In order to support that, this paper presents a framework that aims at supporting the nominal-actual comparison of self-adaptive distributed systems as well as the comparison of different self-adaptive solutions with respect to a specific software implementation task. The underlying approach consists of (i) a declarative definition language and (ii) a software component that is capable of conducting evaluations and benchmarks on different software implementations.