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The Second International Conference on Advances in Information Mining and Management

IMMM 2012

October 21 - 26, 2012 - Venice, Italy


Tutorials

T1. Decision Making and High End Computing
by Prof. Dr. Claus-Peter Rückemann, Westfälische Wilhelms-Universität Münster / Leibniz Universität Hannover / North-German Supercomputing Alliance, Germany

Description:

This tutorial focusses on the challenges of increasing the overall long-term efficiency of information, knowledge and computing related application scenarios, respecting the interests of users and disciplines, service, and resources providers.

This tutorial presents the basics of decision making and High End Computing (HEC). The term "HEC" summarises cluster, Grid, Cloud, High Performance Computing, and supercomputing as well as these resources may be utilised for advanced scientific computing. Decision making is the fundamental base for any process as well as decision making is a process and result itself. The tutorial will show what decision making can mean for HEC and will discuss prominent decision making processes, necessary with High End Computing and collaboration.

In order to understand deficits in decision making processes and knowledge creation, we have to consider the historical and social development as well as up-to-date resource policies in theory and practice. Interesting fields of application are processes within disciplines as well as the future deployment of integration and classification with components of complex systems, some of which are:

Knowledge and decision making:

  • Decision making basics,
  • Data and information,
  • Content and context,
  • Referencing,
  • Knowledge,
  • Cognition,
  • Documentation,
  • Classification,
  • Evaluation,
  • Modelling.

Disciplines and applications:

  • Inter-disciplinary and multi-disciplinary environments,
  • Natural sciences, geosciences, archaeology,
  • Geoinformatics, spatial sciences,
  • Medical, health, and environmental sciences,
  • Museums, archives, libraries,
  • Infonomics, information systems, mining, and management,
  • Advanced scientific computing and processing,
  • High End Computing, High Performance Computing, and supercomputing,
  • Complex and integrated systems,
  • Collaboration frameworks.

Resources, services, and conditions:

  • Technology, architectures, and infrastructures,
  • Governance and services,
  • High End Computing and storage resources,
  • Communication and networks,
  • Programming and paradigms,
  • Data security, privacy, and anonymity,
  • IT-Security, certification, and cryptography,
  • Analysis of requirements and utilisation,
  • Legal regulations, tender processes, and transparency ...

Needs and requirements from disciplines classically are in contrast with how resources and services are managed and operated. Building services on this base typically polarises interests of participated groups. Most building processes regarding computing environments reveal a very small grade of efficiency. This is aligned by the fact that the percentage of re-used knowledge over system generations in most cases is very small, leading to perpetuous "re-invention" and discussion for every cycle.

The tutorial is intended to present and discuss practical application scenarios for creating knowledge base components and increase decision potential. Besides showing reasons for the deficits and suggesting promising components for increasing the future efficiency in the high end sector, the tutorial will want to get feedback with the audience on how current resources are managed and used and how disciplines might be better integrated into the overall process.

This tutorial is addressed to all interested users, disciplines, and providers of computing and service resources. There are no special informatics prerequisites necessary to take part in this tutorial.

 
 

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