https://mobile.aau.at/selforganized-wiki/api.php?action=feedcontributions&feedformat=atom&user=Khumme 2026-10-22T20:24:15Z User contributions MediaWiki 1.28.1 https://mobile.aau.at/selforganized-wiki/index.php?title=Design_Patterns_for_engineering_SOS&diff=633 2010-07-14T08:06:58Z

<p>Khumme: </p> <hr /> <div>== Design Patterns for SOS? ==<br /> * The idea of reuse existing, proven solutions seems to be interesting, but...<br /> * Focus on mechanisms that cause systems to be SOS<br /> * Use a pattern at design time, so that a SOS runtime behaviour shows up<br /> * The usage of design patterns depends on the nature of the desired system <br /> ** Categorize types of SOS and assign possible design patterns, which are useful for which type<br /> * Checklist seems currently to be more appropriate, we know what is necessary to get SOS<br /> ** Checklist for basic properties of SOS: Adaptivity, Emergence, Autonomy, Decentralisation, Cognition, Feedback, Multiple intercations<br /> * Runtime effects to show up: spatial temporal structures, multiple stability, parameter bifurcation<br /> <br /> == Design Patterns ==<br /> * Achitectural patterns<br /> ** Observer-Controller Architecture (Organic Computing)<br /> ** MAPE (Monitor, Analyze, Process, Execute) Cycle (IBM Autonomic Computing)<br /> * Patterns for (interaction) mechanisms<br /> ** Artificial Hormone System (moving/placing resources/load balancing)<br /> ** Ant foraging (reliably find shortest routes)<br /> ** Pulse-coupled oscillators<br /> ** Plain diffusion, replication, chemotaxis, and stigmergy, …<br /> <br /> * Patterns of coordination<br /> ** Stigmergy<br /> *** Using a shared medium/memory for aggregation<br /> *** Decoupled coordination and communication style<br /> *** Links exist to distributed system's work on &quot;Virtual Shared Memory&quot;, Tuple Spaces, Blackboard approaches<br /> *** Examples: Ant systems, Wikipedia, etc.<br /> ** &quot;Local Gradient&quot;<br /> *** Agents perceive relation to other agents, aggregate relations, communicate their information, and adapt their actions<br /> *** Highly dynamic (dependent on agent availability, location, time), real-time<br /> *** Examples: Swarms and packs (coordinated flight of bird swarms, hunting behaviour of packs, etc.)<br /> ** Combine positive/negative feedback w. balance, evolution<br /> *** Including approaches for stopping / re-starting evolution process<br /> * Control Theory -&gt; Feedback loop<br /> * Coupling between local interactions and global behaviour<br /> <br /> <br /> == Related Work on Design Patterns ==<br /> <br /> In software engineering: ''a design pattern is a general reusable solution to a commonly occurring problem in software design. A design pattern is not a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations'' [http://en.wikipedia.org/wiki/Design_pattern_%28computer_science%29]<br /> * Design Patterns for Self-organising Systems, Gardelli et al.<br /> * Design Patterns from Biology for Distributed Computing, Babaoglu et al.<br /> * Design patterns for decentralised coordination in self-organising, De Wolf et al.</div>

Khumme https://mobile.aau.at/selforganized-wiki/index.php?title=Design_Patterns_for_engineering_SOS&diff=631 2010-07-14T08:05:23Z

<p>Khumme: </p> <hr /> <div>== Design Patterns for SOS? ==<br /> * The idea of reuse existing, proven solutions seems to be interesting, but...<br /> * Focus on mechanisms that cause systems to be SOS<br /> * Use a pattern at design time, so that a SOS runtime behaviour shows up<br /> * The usage of design patterns depends on the nature of the desired system <br /> ** Categorize types of SOS and assign possible design patterns, which are useful for which type<br /> * Checklist seems currently to be more appropriate, we know what is necessary to get SOS<br /> ** Checklist for basic properties of SOS: Adaptivity, Emergence, Autonomy, Decentralisation, Cognition, Feedback, Multiple intercations<br /> * Runtime effects to show up: spatial temporal structures, multiple stability, parameter bifurcation<br /> <br /> == Design Patterns ==<br /> * Achitectural patterns<br /> ** Observer-Controller Architecture (Organic Computing)<br /> ** MAPE (Monitor, Analyze, Process, Execute) Cycle (IBM Autonomic Computing)<br /> * Patterns for (interaction) mechanisms<br /> ** Artificial Hormone System (moving/placing resources/load balancing)<br /> ** Ant foraging (reliably find shortest routes)<br /> ** Pulse-coupled oscillators<br /> ** Plain diffusion, replication, chemotaxis, and stigmergy, …<br /> <br /> * Patterns of coordination<br /> ** Stigmergy<br /> *** Using a shared medium/memory for aggregation<br /> *** Decoupled coordination and communication style<br /> *** Links exist to distributed system's work on &quot;Virtual Shared Memory&quot;, Tuple Spaces, Blackboard approaches<br /> *** Examples: Ant systems, Wikipedia, etc.<br /> ** &quot;Local Gradient&quot;<br /> *** Agents perceive relation to other agents, aggregate relations, and adapt their actions based on this information<br /> *** Highly dynamic (agent availability, location dependence, real-time)<br /> *** Examples: Swarms and packs (coordinated flight of bird swarms, hunting behaviour of packs, etc.)<br /> ** Combine positive/negative feedback w. balance, evolution<br /> *** Including approaches for stopping / re-starting evolution process<br /> * Control Theory -&gt; Feedback loop<br /> * Coupling between local interactions and global behaviour<br /> <br /> <br /> == Related Work on Design Patterns ==<br /> <br /> In software engineering: ''a design pattern is a general reusable solution to a commonly occurring problem in software design. A design pattern is not a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations'' [http://en.wikipedia.org/wiki/Design_pattern_%28computer_science%29]<br /> * Design Patterns for Self-organising Systems, Gardelli et al.<br /> * Design Patterns from Biology for Distributed Computing, Babaoglu et al.<br /> * Design patterns for decentralised coordination in self-organising, De Wolf et al.</div>

Khumme