Seminars & Events

Mathematics and Computer Science Division
"DataFlow-Intensive Enactments on Distributed Computing Infrastructures"

DATE: December 3, 2010
TIME: 1:00 PM - 2:00 PM
SPEAKER: Ketan Maheshwari, Postdoc
LOCATION: Building 240 Seminar Room 4301, Argonne National Laboratory
HOST: Michael Wilde

Description:
Porting data-intensive, componentized applications on large scale distributed computing infrastructures is not trivial. Many different approaches continue to be developed, implemented and practiced in this area. As the application demands and infrastructure capabilities evolve, the approaches taken to automate face challenge to keep up and a gap forms between the two.

Bridging such a gap poses challenges at different levels. The challenge at the end-user level is a need to express the application's logic and data flow requirements from a non-technical domain. At the infrastructure level, it is a challenge to port the application such that a maximum exploitation of the underlying resources can takes place.

The workflow technology is a promising means to bridge such a gap. Workflows enable distributed application deployment by recognizing the application component's inter-connections and the flow among them.

However, workflow expressions and engines need enhancements to meet the challenges outlined. Facilitation of a concise expression of parallelism, data combinations and higher level data structures in a coherent fashion is required. This work targets to fullfil these requirements. The work is driven by the use-cases in the field of medical image processing domain. Various strategies are developed to efficiently express asynchronous and maximum parallel execution of complex flows by providing concise expression and enactments interfaced with large scale ditributed computing infrastructures.

The main contributions of this research are: a) A rich workflow language with two-way expression and fruitful results from the experiments carried out on enactment of medical image processing applications workflows on the European Grid Computing Infrastructure; and b) Extension of an existing workflow environment (Taverna) to interface with the Grid Computing Infrastructures.

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