Organic Computing – Technical Systems for Survival in the Real World

Abstract

The Autonomic Systems series aims at creating a platform of communication between universities and industry by publishing research monographs, outstanding PhD theses, and peer reviewed compiled contributions on the latest developments in the field. It covers a broad range of topics from the theory of autonomic systems that are researched by academia and industry. Hence, cutting-edge research, prototypical case studies, as well as industrial applications are in the focus of this series. Fast reviewing provides a most convenient way to publish latest results in this rapid moving research area.

Human Factor Preparedness for Decentralized Crisis Management and Communication in Cyber-Physical Systems

“…Concepts like cloud technology, smart factory, organic computing and Industry 4.0 points to a decentralized disturbance handling [4,5]. There is paradigm shift in systems engineering that should enable future ICT systems to carry out certain tasks on their own [6]. These 'self-systems' can have self-* properties (self-organizing, self-configuring, self-tuning, self-repairing, self-protecting, self-optimizing and so on) [7].…”

To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation

“…However, there is no commonly accepted definition of emergence and, consequently, the different measurement attempts follow varying goals. In the context of this paper, we consider emergence as the formation process transforming disorder into order based on self-organization (according to [3]).…”

“…One successful representative of such a self-adaptive traffic control system is the "Organic Traffic Control" (OTC) system [8,41]. OTC is based on the Observer/Controller model [12] as known from the domain of Organic Computing [3] and learns the best traffic control strategy at an urban intersection a runtime. In general, OTC consists of three major components: (1) autonomous learning of self-configuration strategies for traffic lights (i.e., duration of green times at each intersection) [42], (2) self-coordination to establish Progressive Signal Systems (PSS) [43], and (3) negotiation to derive route recommendations following Internet-based protocols [44].…”

“…One successful representative of such a self-adaptive network control system is the "Organic Network Control" (ONC) system [50]. ONC is based on the Observer/Controller model [12] as known from the domain of Organic Computing [3] and learns the best control strategy of an autonomous device within such a communication network. In particular, ONC has been successfully applied to the control of nodes in mobile ad-hoc networks [51,52], nodes in wireless sensor networks [50], hardware antennas [53], cellular networks [54,55], and cooperative optimization of end-to-end communication links using the example of TCP/IP [56].…”

“…Concepts and techniques emerged that move traditional design-time decisions to runtime and from the system engineer to the systems themselves. As a result, the self-adapting and self-organizing (SASO) systems domain serves as an umbrella for heterogeneous research initiative focusing on these issues, including e.g., Organic Computing [3], Autonomic Computing [4], Interwoven Systems [5], or Self-aware Computing Systems [6].…”