The Impact Failure Detector

TL;DR

This paper introduces a flexible failure detector that assesses process trustworthiness based on impact factors, allowing customizable sensitivity to process failures in distributed systems.

Contribution

It presents a novel impact-based failure detector that enables adjustable monitoring sensitivity according to process importance and failure tolerance.

Findings

Allows tuning of failure detection sensitivity.

Differentiates process importance via impact factors.

Supports scenarios with varying failure tolerances.

Abstract

This work proposes a new and flexible unreliable failure detector whose output is related to the trust level of a set of processes. By expressing the relevance of each process of the set by an impact factor value, our approach allows the tuning of the detector output, making possible a softer or stricter monitoring. The idea behind our proposal is that, according to an acceptable margin of failures and the impact factor assigned to processes, in some scenarios, the failure of some low impact processes may not change the user confidence in the set of processes, while the crash of a high impact factor process may seriously affect it. We outline the application scenarios and the proposed unreliable failure detector, giving a detailed account of the concept on which it is based.