From Observability to Significance in Distributed Information Systems

Autor:	Burgess, Mark
Rok vydání:	2019
Předmět:	Computer Science - Multiagent Systems Computer Science - Artificial Intelligence Computer Science - Distributed Parallel and Cluster Computing Electrical Engineering and Systems Science - Systems and Control I.2.8 I.2.11 C.2.3 C.2.4 H.1.1
Druh dokumentu:	Working Paper
Popis:	To understand and explain process behaviour we need to be able to see it, and decide its significance, i.e. be able to tell a story about its behaviours. This paper describes a few of the modelling challenges that underlie monitoring and observation of processes in IT, by human or by software. The topic of the observability of systems has been elevated recently in connection with computer monitoring and tracing of processes for debugging and forensics. It raises the issue of well-known principles of measurement, in bounded contexts, but these issues have been left implicit in the Computer Science literature. This paper aims to remedy this omission, by laying out a simple promise theoretic model, summarizing a long standing trail of work on the observation of distributed systems, based on elementary distinguishability of observations, and classical causality, with history. Three distinct views of a system are sought, across a number of scales, that described how information is transmitted (and lost) as it moves around the system, aggregated into journals and logs. Comment: Some typos fixed
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1907.05636 Zobrazit plný text záznamu View this record from Arxiv