CISIS-2007

CISIS-2007
First International Conference on Complex, Intelligent and Software Intensive Systems
Start	April 10 2007 (iCal)
End	April 13, 2007
Homepage:	Homepage
Location
City:	Vienna
Country:	Austria
Important dates
Papers due:	November 30 2006
Notification:	January 10 2007
Camera ready due:	January 21 2007
Event in series CISIS

The First International Conference on Complex, Intelligent and Software Intensive Systems is to be held in conjunction with ARES2007 International Conference (see http://www.ares-conference.eu).

Aim

The aim of the conference is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications:

• Software Intensive Systems
• Complex systems
• Intelligent Systems

Software Intensive Systems are systems which heavily deal with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, i.e. automotive, telecommunication systems, embedded systems in general, industrial automation systems, business applications. The outcome of web services delivers a new platform for enabling software intensive systems.

The conference will focus on tools, practically relevant and heoretical foundations for engineering software intensive systems.

Complex Systems Research is focused on the overall understanding of systems rather than its components. The ICT-enabling aspect of Complex Systems is the focus of the contributions to be presented at CISIS 2007. Complex Systems are very much characterised by the changing environments in which they act and by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions.

The development of Intelligent Systems and agents which is more and more characterised by the use of ontologies and their logical foundations build a fruitful impulse for both Software intensive Systems and Complex Systems.

Recent research in the field of intelligent systems -robotics, neuroscience, artificial intelligence, and cognitive sciences- builds an important factor for the future development and innovation of software intensive and complex systems.

CISIS 2007 is aiming at delivering a forum for in-depth scientific discussions amongst the three communities leading to significant contributions in areas such as:

• Monitoring and Control of Large Systems or Environments.
• Managing the hetrogeneity of knowledge by means of ontologies
• Use of Sevice Oriented Architectures for complex applications in business and industries
• The consideration of Software Intensive Systems as Complex Systems
• Enabling of Systems Biology concepts as software intensive conmplex systems
• Knowledge management of complex IT-systems etc.

Scope

Networks of today are going through a rapid evolution. Different kinds of systems with different characteristics are emerging and they are integrating in heterogeneous networks. For these reasons, there are many interconnection problems which may occur at different levels in the hardware and software design of communicating entities and communication networks. These kinds of networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the utilization of network resources. Therefore, architectures and algorithms in these networks become very complex and it seems imperative to focus on new models and methods as well as mechanisms, which can enable the network to perform adaptive behaviors. Many new computing technologies have emerged as new paradigms for solving complex problems by enabling large-scale aggregation and sharing of computational, data and other geographically distributed resources.

Rapid advances are being reported by many researchers and forums as regards understanding numerous issues in such paradigms, from theoretic to application aspects. Moreover, the continuous development of Internet and the construction of new infrastructures are making possible the development of large scale applications from many fields of science and engineering.

To deal with complexity, we should construct physically instantiated systems that can perceive, understand, and interact with their environment - but also evolve in order to achieve human-like performance in activities requiring context-specific knowledge. This is far beyond the current state of the art and will remain so for many years to come. Therefore, many research efforts are required to make headway towards this vision. The strategic challenges are motivated by recent research in the field of intelligent systems - robotics, neuroscience, artificial intelligence, and cognitive sciences.

In recent years, a large community of researchers has begun to realize the importance of brain-body interaction for understanding intelligence and its central role in a wide range of processes including perception, object manipulation, movement, and high-level cognition.

The research challenges include theoretical frameworks based on the notions of embodiment, the dynamical systems metaphor, complete agents rather than individual components, self-reconfiguration and self-repair, morphology and development. Progress in the theoretical underpinnings of embodied intelligence will have strong technological implications in areas including robotics, actuator technology, materials, self-assembling systems. Research in intelligent and cognitive systems is an interdisciplinary field requiring the cooperation of researchers from artificial intelligence, neuroscience (including cognitive and computational), psychology (cognitive and developmental), linguistics, developmental biology, robotics (and engineering in general), biomechanics, and dynamical systems.

Software has become a central part of a rapidly growing range of applications, products and services from all sectors of economic activity. Systems in which software interacts with other software, systems, devices, sensors and with people are called software- intensive systems. Examples include large-scale heterogeneous systems, embedded systems for automotive and avionics applications, telecommunications, wireless ad hoc systems, business applications with an emphasis on web services. Our daily activities increasingly depend on complex software-intensive systems that are becoming ever more distributed, heterogeneous, decentralized and inter-dependent, and that are operating more and more in dynamic and often unpredictable environments.

There exist different kinds of complexity in the development of software. Software systems grew larger, the focus shifted from the complexity of developing algorithms to the complexity structuring large systems, and then to the additional complexities in building distributed, concurrent systems. In the next ten to fifteen years we will have to face another level of complexity arising from the fact that systems have to operate in large, open and non-deterministic environments: the complexity of knowledge, interaction and adaptation. Instead of developing computer-oriented systems where people have to adapt to the computer we have to develop human-oriented systems into which computers integrate seamlessly. Also, the requirements for software quality will dramatically increase. But our current methods are not sufficient to deal with adaptive software in a dynamic environment, especially not for large systems with complex interactions. We need to develop practically useful and theoretically well founded principles, methods and tools for engineering future software-intensive systems.

All the complex systems depend on software that controls the behavior of individual components and the interaction between components, and on software which interacts with other software, systems, devices, sensors and with people. In other words: they depend on software-intensive systems.

The CISIS-2007 seeks original contributions in all relevant areas, including but not limited to the following topics.

Topics of interest

• Agent Technology
• Human-Oriented Systems
• Evolving Systems
• Intelligent and Cognitive Systems and Applications
• Genetic Programming and Algorithms
• Fuzzy Logic and Fuzzy Systems
• Neuro-computing and Applications
• Knowledge-based Systems
• Dynamic Systems
• Parallel and Distributed Algorithms
• Databases and Data Mining
• Grid and P2P Infrastructures
• Data Intensive and Computing Intensive Applications
• Scheduling, Resource Discovery and Allocation
• JXTA-based Applications
• Large-scale Collaborative Problem Solving Environments
• Methodology and Practice of Semantic Grid and Web
• Web and Grid Service-based Applications
• Ubiquitous Computing Applications
• Pervasive Computing and Applications
• Multimedia Systems and Applications
• Human-Robots
• Embedded Systems
• Overlay Networks for P2P Systems
• Autonomous Systems
• Autonomic Computing
• Bio-inspired Systems and Applications
• Fault-Tolerant Systems
• Heterogeneous Networks
• Heterogeneous Wireless Networks
• Sensor Networks
• Ad Hoc Networks
• Sensor and Actor Networks
• High-Speed Networks
• Routing Algorithms
• Software QoS
• Adaptive Software-Intensive Systems
• Self-Modifying Software Systems
• Self-Designing and Self-Maintaining software

Conference Chairpersons

• Leonard Barolli, Fukuoka Institute of Technology, Japan
• A Min Tjoa, Vienna University of Technology, Austria

International Liaison Co-Chairs

• Makoto Takizawa, Tokyo Denki University, Japan
• Arjan Durresi, Louisiana State University, USA

Publicity Chairs

• Nguyen Manh Tho, Vienna University of Technology, Austria
• Fatos Xhafa, Polytechnic University of Catalonia, Spain

Publication Co-Chairs

• Yoshitaka Shibata, Iwate Prefectural University, Japan
• Roland Wagner, University of Linz, Austria

Local Organizing Chairs

• Maria Schweikert, Vienna University of Technology, Austria
• Markus Klemen, Vienna University of Technology, Austria

Program Committee

• Chandra Krintz, University of California, USA
• Mukesh Mohania, IBM India Research Laboratory, India
• Tomoya Enokido, Risho University, Japan
• Joan Manel Marquès, Open University of Catalonia, Spain
• Akio Koyama, Yamagata University, Japan
• Nguyen Manh Tho, Vienna University of Technology, Austria
• Fatos Xhafa, Polytechnic University of Catalonia, Spain
• Arjan Durresi, Louisiana State University, USA
• Naohiro Hayashibara, Tokyo Denki University, Japan
• Claudi Paniagua Maci, IBM GTS, Virtualization and Grid Computing EBO, Spain
• Irfan Awan, University of Bradford, UK
• Hui-huang Hsu, Tamkang University, Taiwan
• Jin Hwan Park, State University of New York New Paltz, USA
• Kuo-Ming Chao, Coventry University, UK
• Muhammed Younas, Oxford Brookes University, UK
• Bhed Bahadur Bista, Iwate Prefectural University, Japan
• Minoru Uehara, Toyo University, Japan
• Elhadi Shakshuki, Acadia Univiversity, Canada
• David Taniar, Monash University, Australia
• Nobuyoshi Sato, Toyo University, Japan
• Hiroaki Kikuchi, Tokai University, Japan
• Sajid Hussain, Acadia University, Canada
• Fumiaki Sato, Toho University, Japan
• Kaoru Sugita, Fukuoka Institute of Technology, Japan
• Timothy K. Shih, Tamkang University, Taiwan
• Markus Aleksy, University of Mannheim, Germany
• Takahiro Hara, Osaka University, Japan
• Takuo Suganuma, Tohoku University, Japan
• Wenny Rahayu, La Trobe University, Australia
• Ismail Khalil Ibrahim, Johannes Kepler University Linz, Austria
• Giuseppe De Marco, Fukuoka Institute of Technology, Japan
• Günther Pernul, University of Regensburg, Germany
• Andrei Doncesku, University Paul Sabatier, France
• Lin Guan, Loughborough University, UK
• Frank Ball, Bournemouth University, UK
• Ahmed Al-Dubai, Napier University, UK
• Qiang Ni, Brunel University, UK
• Juan Jose Alcaraz Espin, Polytechnic University of Cartagena, Spain
• Winston Seah]], Institute for Infocomm Research, Singapore
• Antonio Pescape]], University of Napoli, Italy
• Leonid Kalinichenko]], Russian Academy of Science, Russia
• Lawrence Y. Deng]], St. John's and St.Mary's Institute of Technology, Taiwan
• Xiangen Hu, University of Memphis, USA
• Ching-Sheng Wang, Aletheia University, Taiwan
• Kuei-Ping Shih, Tamkang University, Taiwan
• Been-Chian Chien, National University of Tainan, Taiwan
• Wen-Yang Lin, National University of Kaohsiung, Taiwan
• Vincent Lee, Monash University, Australia
• Michael Sheng, CSIRO ICT Centre, Australia
• Soraya Kouadri M., Oxford Brookes University, UK
• S.C. Cheung, Hong Kong University of Science and Technology (HKUST), Hong Kong
• Karl R.P.H. Leung, Hong Kong Institute of Vocational Education (Tsing Yi) HKIVE, Hong Kong
• Victor C.S. Lee, City University of Hong Kong, Hong Kong
• Henry Chan, Hong Kong Polytechnic University, Hong Kong
• Hon-Va Leong, Hong Kong Polytechnic University, Hong Kong
• Qing Lu, Hong Kong Polytechnic University, Hong Kong
• Thomas Grill, University of Linz, Austria
• Fabio Postiglione, University of Salerno, Italy
• Said Mirza, Advanced Institute of Science and Technology, Japan
• Ajith Abraham, Yonsei University, Korea
• Takuo Nakashima, Kyushu Tokai University, Japan