Towards a Technology for Robust and Cost-Effective Autonomic Execution of Scientific Applications

Date

Jul 5, 2013

Time

10:00 AM - 11:00 AM

Speaker

Ioana Banicescu

Affiliation

Mississippi State University

Series

TUD ZIH Kolloquium

Language

de

Main Topic

Informatik

Other Topics

Informatik

Host

Ralph Müller-Pfefferkorn, Zentrum für Informationsdienste und Hochleistungsrechnen

Description

Computational science and engineering research communities are continuously interested in solving problems of increased complexity. The rapid development of computing technology has increased the complexity of computational systems and the ability to solve large and more complex scientific problems.
Over the years, the computing technology has benefited from many research advances in architecture, hardware platforms and software environments, programming models, algorithms, and from many tools and techniques that evolved from these advances.
Many scientific problems are intractable (very large, complex), often exhibit irregular and stochastic behavior (data or time-dependent), and therefore require adaptive algorithms. The resulting scientific applications run on heterogeneous environments (clusters, grids, clouds) which often are expected to offer an efficient, robust, and cost-effective (high utility and green) execution to multiple applications.
A number of solutions involving adaptivity have been proposed and implemented at the application and system levels. They often rely on adaptive algorithms and optimization techniques which may use probabilistic analyses, and other approaches such as: queuing theory, a control-theoretic approach, a machine learning approach, a biologically-inspired approach, and others. During the last decade, an autonomic computing approach has been proposed as a solution to system complexity due to self-management capabilities known to be exhibited by an autonomic computing system.
In this talk, she will present the challenges with which the research community is confronted in addressing these issues at application and system levels, and she will focus on a few recent steps taken towards a technology that would enable simultaneously at both levels a robust, cost-effective execution of scientific applications using an autonomic computing approach.

Links

• http://tu-dresden.de/veranstaltungen/termin?id=TUD51c08595b5b73

Last modified: Jul 5, 2013, 10:03:19 AM