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IT – Ecosystems: Autonomy and Controllability for Software-intensive Systems Towards Complex Software Systems: Borrowing from Nature As technical systems grow more flexible and more autonomous, they become more and more similar to living organisms in their construction and behaviour. When putting many Motivation Software is used throughout all areas of the working environment and our society. It is a fact, however, that most software-systems continuously grow larger and more complex. Exchanging information and reaction to this information shows an even higher rate of growth. Contradicting, today’s classical methods in computer science software maintenance are limited and do not support such growth and complexity. Challenges An IT-Ecosystem is an ever-changing community of independent, cooperating and competing individual systems. These systems may be actuators, such as autonomous systems, robots, or smaller physical devices. Additionally, all kinds of sensors are necessary to perceive many parts of the environment. Humans play an integral part, as does the communication and interaction between all systems. The core issues for any IT-Ecosystem are its autonomy and its controllability, and the balance between those properties. It is impossible to plan and develop such an IT-Ecosystem in advance. Instead, new challenges arise for specification, design and validation. Such topics as self-organization, selfoptimization, self-monitoring, and self-healing have to be closely inspected and examined. Potential Applications & Future Issuess NEW PROJECTS such systems together, a system of systems evolves with analogous properties, but far more complex. It is a key objective to master the complexities of these entities. In contrast to engineering, where a single building can be planned, explained, and implemented; building a city requires a completely different set of models, mechanisms and patterns. Towards this end, computer science faces a radical paradigm shift. Much work has to be done on algorithms for cooperation in large distributed networks. Scalable and flexible architectures and procedures are needed. However, we are a long way from bringing the dream of the smart city to life: where all sensors and actuators are networked and able to communicate with each other to to enhance our lives. Contact: Prof. Bernardo Wagner, wagner@L3S.de URL: http://www.L3S.de/ecosystems FORSCHUNGSZENTRUM L3S L3S RESEARCH CENTER 19
20 KNOWLEDGE KNOWLEDGE FORSCHUNGSZENTRUM L3S L3S RESEARCH CENTER
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Page 4 and 5: nies, news agencies and other insti
Page 6 and 7: CONTENTS C3World - Connected Cars i
Page 8 and 9: NEW PROJECTS The development of inn
Page 10 and 11: In the field of technology-enhanced
Page 12 and 13: Advisory Board ADVISORY BOARD Prof.
Page 14 and 15: Dipl.-Inf. Ralf Krestel M.Sc. Chris
Page 16 and 17: NEW PROJECTS viFaChem 2 aims at pro
Page 18 and 19: NEW PROJECTS STELLAR - Sustaining T
Page 22 and 23: KNOWLEDGE The aim of the L3S resear
Page 24 and 25: - in collaboration with the other p
Page 26 and 27: • Towards the Virtual Personal De
Page 28 and 29: easoning. The Summer School 2008 wa
Page 30 and 31: able and automatically interpretabl
Page 32 and 33: • able to explain why the given r
Page 34 and 35: Potential Applications & Future Iss
Page 36 and 37: setting them down in a new location
Page 38 and 39: For vehicle control, semi-autonomou
Page 40 and 41: NEW PROJECTS Developing innovative
Page 42 and 43: profiling (UCP), social networks- a
Page 44 and 45: features for classification, offers
Page 46 and 47: approach has been complemented by u
Page 48 and 49: Highlights In the past year the wor
Page 50 and 51: IRIS is further engaged in an inter
Page 52 and 53: tation “scenarios”, e.g. conten
Page 54 and 55: titioner in the field. Building on
Page 56 and 57: Development Activities in D-Grid: A
Page 58 and 59: Highlights By relying on Web Servic
Page 60 and 61: while ensuring the required level o
Page 62 and 63: Highlights The rate adaptation func
Page 64 and 65: Car-2-X Communication Motivation Ca
Page 66 and 67: tically determined. The resulting d
Page 68 and 69: In the next step, a MIMO-UWB test-b
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The aforementioned phased arrays ar
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has to be considered • Effects of
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The components with soft real time
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NEW PROJECTS As learning technologi
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this competitive, evolving, and dem
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and continues with the selection of
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ical Planning Tool provides compreh
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published on the Stud.IP system wit
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communication process between teach
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L3S Presents Innovations in Digital
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New Managing Director at L3S In jan
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NEWS & EVENTS European Land Robot T
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PARTNERS Cambridge, Cambridge, Grea
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22. Brunkhorst, Ingo; Tönnies, Sas
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Adversarial Information Retrieval o
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108. Papapetrou, Odysseas. Full-tex
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Track, Beijing, China, April 2008 (
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FORSCHUNGSZENTRUM L3S L3S RESEARCH
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Forschungszentrum L3S Appelstr. 9a
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