Home // International Journal On Advances in Intelligent Systems, volume 4, numbers 3 and 4, 2011 // View article

SERSCIS-Ont : Evaluation of a Formal Metric Model using Airport Collaborative Decision Making

Authors:
Mike Surridge
Ajay Chakravarthy
Maxim Bashevoy
Joel Wright
Martin Hall-May
Roman Nossal

Keywords: adaptive metrics, SOA, measurements, constraints, QoS, discrete event simulation

Abstract:
In the Future Internet, programs will run on a dynamically changing collection of services, entailing the consumption of a more complex set of resources including financial resources. The von Neumann model offers no useful abstractions for such resources, even with refinements to address parallel and distributed computing devices. In this paper we detail the specification for a post-von Neumann model of metrics where program performance and resource consumption can be quantified and encoding of the behaviour of processes that use these resources is possible. Our approach takes a balanced view between service provider and service consumer requirements, supporting service management and protection as well as non-functional specifications for service discovery and composition. The approach is evaluated using a case study based on an airport-based collaborative decision-making scenario. Two experimental approaches are presented: the first based on stochastic process simulation, the second on discrete event-based simulation.

Pages: 188 to 202

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: April 30, 2012

Published in: journal

ISSN: 1942-2679