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Development of New Therapeutic Applications Using Microfluidics

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Published on: October 1, 2007

SOAs for Scientific Applications: Experiences and Challenges.

Sriram Krishnan¹, Karan Bhatia

¹San Diego Supercomputer Center, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0505.

Future Generations Computer Systems : FGCS

|February 11, 2011

Summary

Service-oriented Architectures (SOA) simplify scientific computing infrastructures. This paper offers practical guidance and case studies for building robust SOA systems, addressing technical challenges for better usability and maintenance.

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Area of Science:

Computer Science
Bioinformatics
Grid Computing

Background:

Service-oriented Architectures (SOA) and Web services are increasingly adopted in scientific and Grid computing.
The Open Grid Services Architecture (OGSA) and Web Services Resource Framework (WSRF) aim to simplify scientific infrastructures.
Current challenges exist in translating these principles into practical system design and implementation.

Purpose of the Study:

To provide experienced-based guidance for leveraging SOA technologies in scientific infrastructure development.
To identify and discuss technical challenges inherent in building SOA systems for scientific applications.
To present a case study of an SOA designed for the National Biomedical Computation Resource (NBCR) community.

Main Methods:

Documenting practical insights and lessons learned from developing SOA for scientific computing.
Analyzing and outlining the technical hurdles encountered during SOA implementation.
Detailing the architecture, software toolkits, client interfaces, and usage scenarios of the NBCR SOA.

Main Results:

The paper presents actionable strategies for applying SOA principles in scientific environments.
Key technical challenges in SOA development for scientific infrastructures are identified and solutions are proposed.
A comprehensive SOA for the NBCR is described, showcasing practical application and addressing identified challenges.

Conclusions:

Leveraging SOA technologies requires practical guidance beyond theoretical principles.
Addressing specific technical challenges is crucial for successful SOA implementation in scientific computing.
The NBCR SOA case study demonstrates a viable approach for building maintainable and cost-effective scientific infrastructures.