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XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web services.

Johannes Wagener1, Ola Spjuth, Egon L Willighagen

  • 1Max von Pettenkofer-Institut, Ludwig-Maximilians-Universität, Munich, Germany. johannes.wagener@med.uni-muenchen.de

BMC Bioinformatics
|September 8, 2009
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Summary
This summary is machine-generated.

This study introduces Extensible Messaging and Presence Protocol (XMPP) cloud services for life sciences, offering discoverable and asynchronous bioinformatics tools. This approach overcomes limitations of traditional web services for data analysis.

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Area of Science:

  • Bioinformatics and Life Sciences
  • Web Services and Cloud Computing

Background:

  • Life sciences heavily rely on web-based data provision and analysis.
  • Existing HTTP-based web services (SOAP, REST) in bioinformatics lack discoverability and asynchronous capabilities.
  • Current workarounds for these limitations are often ad-hoc and of variable quality.

Purpose of the Study:

  • To present a novel approach using Extensible Messaging and Presence Protocol (XMPP) for bioinformatics cloud services.
  • To address the drawbacks of traditional HTTP-based web services, including discoverability and asynchronous communication.
  • To enable more effective data analysis through machine-accessible interfaces.

Main Methods:

  • Development of an XMPP extension (IO Data) for service discovery, asynchronous invocation, and data type definition.
  • Implementation of XMPP cloud services for bioinformatics and cheminformatics.
  • Creation of client implementations for Bioclipse and Taverna.

Main Results:

  • XMPP cloud services facilitate asynchronous communication, eliminating the need for client-side polling.
  • Services are discoverable directly through the XMPP network without external registries.
  • Defined input/output types enable on-the-fly client generation.

Conclusions:

  • XMPP with extensions offers significant advantages over traditional HTTP-based web services for bioinformatics.
  • The protocol supports inherent service discoverability and asynchronous operations.
  • It simplifies client generation and enhances the potential for next-generation online bioinformatics services.