A Bio-Inspired Self-configuring Observer/ Controller for Organic Computing Systems

Journal Title: Journal of Information Systems and Telecommunication - Year 2016, Vol 4, Issue 3

Abstract

The increase in the complexity of computer systems has led to a vision of systems that can react and adapt to changes. Organic computing is a bio-inspired computing paradigm that applies ideas from nature as solutions to such concerns. This bio-inspiration leads to the emergence of life-like properties, called self-* in general which suits them well for pervasive computing. Achievement of these properties in organic computing systems is closely related to a proposed general feedback architecture, called the observer/controller architecture, which supports the mentioned properties through interacting with the system components and keeping their behavior under control. As one of these properties, self-configuration is desirable in the application of organic computing systems as it enables by enabling the adaptation to environmental changes. However, the adaptation in the level of architecture itself has not yet been studied in the literature of organic computing systems. This limits the achievable level of adaptation. In this paper, a self-configuring observer/controller architecture is presented that takes the self-configuration to the architecture level. It enables the system to choose the proper architecture from a variety of possible observer/controller variants available for a specific environment. The validity of the proposed architecture is formally demonstrated. We also show the applicability of this architecture through a known case study.

Authors and Affiliations

Ali Tarihi, Hassan Haghighi, Fereidoon Shams Aliee

Keywords

Related Articles

Digital Video Stabilization System by Adaptive Fuzzy Kalman Filtering

Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional...

Early Detection of Pediatric Heart Disease by Automated Spectral Analysis of Phonocardiogram

Early recognition of heart disease is an important goal in pediatrics. Developing countries have a large population of children living with undiagnosed heart murmurs. As a result of an accompanying skills shortage, most...

Extracting Credit Rules from Imbalanced Data: The Case of an Iranian Export Development Bank

Credit scoring is an important topic, and banks collect different data from their loan applicant to make an appropriate and correct decision. Rule bases are of more attention in credit decision making because of their ab...

Statistical Analysis of Different Traffic Types Effect on QoS of Wireless Ad Hoc Networks

IEEE 802.11 based wireless ad hoc networks are highly appealing owing to their needless of infrastructures, ease and quick deployment and high availability. Vast variety of applications such as voice and video transmissi...

Privacy Preserving Big Data Mining: Association Rule Hiding

Data repositories contain sensitive information which must be protected from unauthorized access. Existing data mining techniques can be considered as a privacy threat to sensitive data. Association rule mining is one of...

Download PDF file
  • EP ID EP184016
  • DOI 10.7508/jist.2016.03.001
  • Views 108
  • Downloads 0

How To Cite

Ali Tarihi, Hassan Haghighi, Fereidoon Shams Aliee (2016). A Bio-Inspired Self-configuring Observer/ Controller for Organic Computing Systems. Journal of Information Systems and Telecommunication, 4(3), 134-144. https://europub.co.uk/articles/-A-184016