Self-optimization property in autonomic specification of distributed MARF with ASSL

Abstract

In this work, we venture out to develop self-optimization features in the Distributed Modular Audio Recognition Framework (DMARF). Here, we use the Autonomic System Speci cation Language (ASSL) to specify a self-optimization policy and generate the code for the same. This completes the rst iteration of the autonomic speci cation layer for DMARF and enables re-engineered autonomic DMARF system, which also includes self-healing and self-protection, both developed earlier.