Grouping Algorithms for Scalable Self-Monitoring Distributed Systems

The growing complexity of distributed systems demands for new ways of control. Future systems should be able to adapt dynamically to the current conditions of their environ-ment. They should be characterised by so-called self-x prop-erties like self-configuring, self-healing, self-optimising, self-protecting, and context-aware. For the incorporation of such features typically monitoring components provide the neces-sary information about the system’s state. In this paper we propose three algorithms which allow a distributed system to install monitoring relations among its components. This serves as a basis to build scalable distributed systems with self-x features and to achieve a self-monitoring capability. Evaluation measurements have been conducted to compare the proposed algorithms