Building and implementing policies in autonomous and autonomic systems using MaCMAS

Abstract

Autonomic Computing, self-management based on high level guidance from humans, is increasingly being accepted as a means forward in designing reliable systems that both hide complexity from the user and control IT management costs. Effectively, AC may be viewed as policy-based self-management. We look at ways of achieving this, with particular focus on agent-oriented software engineering. We propose utilizing MaCMAS, an AOSE methodology for specifying autonomic and autonomous properties of the system independently. Later, by means of composition of these specifications, guided by a policy specification, we construct a specification for the policy and its subsequent deployment. We illustrate this by means of a case study based on a NASA concept mission and describe future work on a support toolkit.

Systematic literature review on intent‐driven systems

“…Mandel et al [51] present a method to define which policies to use to present information to solve complex reinforcement learning problems. Wang et al [55] describe how reinforcement learning can be used to interactively create understanding and knowledge, while Peña et al [54] introduce multi‐role interactions to model MASs.…”

“…It is possible to simulate the effect of an action taken by the operator but the action will not be enforced from the system. [54] 1.5 Theory combined with experiment: Uses Unified Modelling Language to model MASs and add a first-class modelling element called multi-role interaction (mRI) in order to represent interactions abstractly. There are two static organisation view models: Role model and Ontology model (not shown in the paper).…”

Systems and software engineering of autonomic and autonomous systems

“…policies and the computer-based systems does the rest-selfmanaging and self-directing throughout all levels of the system. Peña et al propose an agent-oriented software engineering methodology referred to as MaCMAS (methodology fragment for analyzing complex multiagent systems) for specifying, constructing and deploying autonomic and autonomous properties and specifications through all layers of the system [8]. Dubey [11].…”