Monitoring for digital preservation of processes

Abstract

Digital Preservation is an important challenge for the information society. Reliable information and communication technology is crucial for most companies and software failure, is a considerable risk. Use of technologies such as Software as a Service (SaaS) and Internet of Services (IoS) means that business processes are increasingly supported by distributed, service oriented systems. We propose a concept and methods for capturing of contextual information, event causality and timing for Digital Preservation of distributed business processes and services. The architecture is derived from an architecture for monitoring sensing systems. We add a reasoner that can check whether processes adhere to explicit contracts and detect behavior anomalies, and we sketch how an inductive learner can be used to detect anomalies not covered by these contracts. © 2011 Springer-Verlag.