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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments.

Chun-Hung Richard Lin1, Chun-Hao Wen, Ying-Chih Lin

  • 1Department of Computer Science and Engineering, National Sun Yat-sen University, No. 70 Lien-hai Road, Kaohsiung City 80424, Taiwan.

International Journal of Genomics
|June 14, 2013
PubMed
Summary
This summary is machine-generated.

Bioinformatics data retrieval is challenging in cloud environments. PRKad, a Peer-to-Peer (P2P) system using Kademlia, offers efficient data discovery and delivery with low latency and good scalability.

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Area of Science:

  • Bioinformatics
  • Computer Science
  • Distributed Systems

Background:

  • Bioinformatics relies on cloud computing for large-scale biological data analysis.
  • The explosive growth and dynamic nature of biological data pose challenges for data discovery and retrieval.
  • Existing cloud frameworks often face limitations due to centralized data tracking mechanisms.

Purpose of the Study:

  • To propose an alternative approach for efficient bioinformatics data discovery and delivery in cloud environments.
  • To address the limitations of centralized data management in cloud-based bioinformatics research.
  • To enhance collaborative research by improving data accessibility.

Main Methods:

  • Implemented a Peer-to-Peer (P2P) model named PRKad.
  • PRKad is a Kademlia-based system utilizing Round-Trip-Time (RTT) as the key.
  • Data location is managed using Distributed Hash Table (DHT) and XOR metric.

Main Results:

  • Simulation results demonstrate that PRKad achieves low link latency for data retrieval.
  • The proposed PRKad system exhibits good scalability for dynamic cloud environments.
  • PRKad effectively overcomes the hindrance of a MapReduce master server for data tracking.

Conclusions:

  • PRKad offers an efficient and scalable solution for bioinformatics data discovery and delivery.
  • This P2P approach enhances collaborative research by improving data accessibility in dynamic cloud settings.
  • PRKad represents an interdisciplinary application of P2P computing in bioinformatics.