Interaction-Driven Self-adaptation of Service Ensembles

Abstract

Abstract. The emergence of large-scale online collaboration requires current information systems to be apprehended as service ensembles comprising human and software service entities. The software services in such systems cannot adapt to user needs based on autonomous principles alone. Instead system requirements need to reflect global interaction characteristics that arise from the overall collaborative effort. Interaction monitoring and analysis, therefore, must become a central aspect of system self-adaptation. We propose to dynamically evaluate and update system requirements based on interaction characteristics. Subsequent reconfiguration and replacement of services enables the ensemble to mature in parallel with the evolution of its user community. We evaluate our approach in a case study focusing on adaptive storage services.

HAFLoop: An architecture for supporting Highly Adaptive Feedback Loops in self-adaptive systems

“…Typically, three layers, as in the HIIC pattern [17], are considered: one for the ME, a second one for the AM and a third one for the logic in charge of AM's adaptation. Examples of solutions that adopt this approach are the 3LA approach [20], ActivFORMS [9,21,22], PLASMA [23,24], ALM [10,13], Service ensembles [25], recent extensions of MORPH [26,27], among others. In order to support the third layer, most of these approaches consider the implementation of a second feedback loop that monitors the performance of the SAS AM and adjusts it, if necessary, at runtime.…”

Leveraging State-Based User Preferences in Context-Aware Reconfigurations for Self-Adaptive Systems

“…The approach considers only a simple context model without considering future changes. Dorn and Dustdar [7] observe the behavior of multiple users to adapt the available software capabilities (i.e. features) to the preferences of the whole group.…”

Service Change Analyzer: An Enabling Tool for Change Management in Service-Based Business Processes

“…As a traditional problem in IT, change management has been studied in a wide range of research areas such as software engineering [2], distributed systems [3], database management systems [4], and information systems [5]. In particular, the change management for business processes has been extensively studied since mid 1990s [6], [7], [8], [9].…”