Remote Data Retrieval for Bioinformatics Applications: An Agent Migration Approach
2011

Agent Migration for Remote Data Retrieval in Bioinformatics

publication Evidence: moderate

Author Information

Author(s): Gao Lei, Dai Hua, Zhang Tong-Liang, Chou Kuo-Chen

Primary Institution: Donghua University, Shanghai, China

Hypothesis

Can agent migration improve remote data retrieval in low-quality mobile network environments?

Conclusion

The proposed agent migration approach effectively addresses the challenges of retrieving remote data in unstable mobile computing environments.

Supporting Evidence

  • The agent migration approach allows computations to be performed closer to data sources, reducing network load.
  • The system architecture is designed to operate effectively in mobile environments with limited resources.
  • A case study demonstrated the feasibility of retrieving genomic data from GenBank using the proposed method.

Takeaway

This study shows that mobile agents can move to where the data is, making it easier to get information even when the internet connection is bad.

Methodology

The study developed a multi-agent system architecture that integrates agent migration to facilitate remote data retrieval.

Limitations

The security threats associated with agent migration remain a significant concern.

Digital Object Identifier (DOI)

10.1371/journal.pone.0020949

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication