Avižienis, Algirdas-Antanas

The goal of this short study is to compare nine widely used concepts: reliability, robustness, survivability, trust- worthiness, high confidence, high assurance, fault management, self-healing, and resilience to the concept of dependability as it is presented with a taxonomy in the 2004 paper "Basic concepts and taxonomy of dependable and secure computing". The study also considers the representation of those concepts in the general taxonomy of computer science and engineering "ACM Computing Classification, 2012 Revision".

An extension of the established taxonomy of dependable and secure computing is presented. Document faults are dormant faults in published scientific and technical documents. The documents consist of text and non-text parts. The classification and removal of text faults is discussed.

This paper discusses work in progress aimed at creating a "referee's avatar" that can pro-vide assistance in the evaluation of the content and originality of scientific and technical na-tural language texts. The first step towards this goal is the systematic classification of text faults.

This paper discusses work in progress aimed at creating a "referee's avatar" that can pro-vide assistance in the evaluation of the content and originality of scientific and technical na-tural language texts. The first step towards this goal is the systematic classification of text faults.

Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or reviewing papers. Our work aims at filling the gap between text documents and a structured representations of their content in the domain of resilient computing by combining computer linguistics and ontological methods. The results of our research include: a thesaurus of the domain, automatic clustering of the domain documents, a domain ontology, and a tool for constructing ontologies with the aid of domain thesauri.

Organizing documents and performing search is a common but not a trivial task in information systems. With the increasing number of documents, it is becoming crucial to automate these processes. Clustering is a solution for organizing large amount of documents. In this article we propose a method of improving document retrieval that was implemented in RKB Knowledge Base. Our method heavily relies on linguistic analysis, which aims to identify document specific noun phrases. We applay an adjusted hierarchical clustering algorithm for learning clusters of documents.

We summarize an ongoing research project in computer linguistics to construct a thesaurus and an ontology of the fundamental concepts of dependability and security. The effort is a part of the ReSIST Network of Excellence project.[...].

In collaborative self-organizing computing systems a complex task is performed by relatively simple autonomous agents that act without centralized control. Disruption of a task can be caused by agents that produce harmful outputs due to internal failures or due to maliciously introduced alterations of their functions. The probability of such harmful outputs is minimized by the application of a design principle called "the immune system paradigm" that provides individual agents with an all-hardware fault tolerance infrastructure. The paradigm and its application are described in this paper.

It is concluded that hardware is not being adequately employed to provide system fault tolerance. A design principle called the "immune system paradigm" is presented and a hardware-implemented fault tolerance infrastructure is proposed as the means to use hardware more effectively in building dependable systems of the future.