SENov 10, 2015

Diversity and Adjudication

arXiv:1511.03124v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a foundational issue in fault-tolerant computing, but it appears incremental as it builds on existing axiomatic approaches without introducing a new paradigm.

The paper tackles the problem of adjudication in diversity-based systems, where multiple implementations are run in parallel for dependability, by defining and exploring properties of adjudication operators to determine a single result from varied outcomes.

This paper takes an axiomatic and calculational view of diversity (or "N-version programming"), where multiple implementations of the same specification are executed in parallel to increase dependability. The central notion is "adjudication": once we have multiple, potential different, outcomes, how do we come to a single result? Adjudication operators are explicitly defined and some general properties for these explored.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes