Ulteriori informazioni
In the world of information technology, it is no longer the computer in the classical sense where the majority of IT applications is executed; computing is everywhere. More than 20 billion processors have already been fabricated and the majority of them can be assumed to still be operational. At the same time, virtually every PC worldwide is connected via the Internet. This combination of traditional and embedded computing creates an artifact of a complexity, heterogeneity, and volatility unmanageable by classical means. Each of our technical artifacts with a built-in processor can be seen as a ''Thing that Thinks", a term introduced by MIT's Thinglab. It can be expected that in the near future these billions of Things that Think will become an ''Internet of Things", a term originating from ETH Zurich. This means that we will be constantly surrounded by a virtual "organism" of Things that Think. This organism needs novel, adequate design, evolution, and management means which is also one of the core challenges addressed by the recent German priority research program on Organic Computing.
Sommario
Biological Inspiration: Just a dream? (Invited papers).- An Immune System Paradigm for the Assurance of Dependability of Collaborative Self-organizing Systems.- 99% (Biological) Inspiration ....- Biologically-Inspired Design: Getting It Wrong and Getting It Right.- Web Organization.- On Building Maps of Web Pages with a Cellular Automaton.- Biological Inspiration 1.- Completing and Adapting Models of Biological Processes.- The Utility of Pollination for Autonomic Computing.- Towards Distributed Reasoning for Behavioral Optimization.- Biological Inspiration 2.- Ant Based Heuristic for OS Service Distribution on Ad Hoc Networks.- An Artificial Hormone System for Self-organization of Networked Nodes.- A Biologically Motivated Computational Architecture Inspired in the Human Immunological System to Quantify Abnormal Behaviors to Detect Presence of Intruders.- Chip-Design.- Error Detection Techniques Applicable in an Architecture Framework and Design Methodology for Autonomic SoCs.- Communication.- A Reconfigurable Ethernet Switch for Self-Optimizing Communication Systems.- Learning Useful Communication Structures for Groups of Agents.- Maintaining Communication Between an Explorer and a Base Station.- Mechatronics and Computer Clusters.- Active Patterns for Self-Optimization.- Acute Stress Response for Self-optimizing Mechatronic Systems.- The Self Distributing Virtual Machine (SDVM): Making Computer Clusters Adaptive.- Robotics and Sensor Networks.- Teleworkbench: An Analysis Tool for Multi-Robotic Experiments.- Trading off Impact and Mutation of Knowledge by Cooperatively Learning Robots.- Emergent Distribution of Operating System Services in Wireless Ad Hoc Networks.
Info autore
Hartmut Schmeck ist Universitätsprofessor am Karlsruher Institut für Technologie (KIT). Er ist ein Kernmitglied der Organic Computing Initiative und Koordinator des DFG Schwerpunkprogramms Organic Computing Zudem ist er der Sprecher des KIT-Schwerpunkts COMMputation.
Riassunto
In the world of information technology, it is no longer the computer in the classical sense where the majority of IT applications is executed; computing is everywhere. More than 20 billion processors have already been fabricated and the majority of them can be assumed to still be operational. At the same time, virtually every PC worldwide is connected via the Internet. This combination of traditional and embedded computing creates an artifact of a complexity, heterogeneity, and volatility unmanageable by classical means. Each of our technical artifacts with a built-in processor can be seen as a ''Thing that Thinks", a term introduced by MIT's Thinglab. It can be expected that in the near future these billions of Things that Think will become an ''Internet of Things", a term originating from ETH Zurich. This means that we will be constantly surrounded by a virtual "organism" of Things that Think. This organism needs novel, adequate design, evolution, and management means which is also one of the core challenges addressed by the recent German priority research program on Organic Computing.
