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Developing cloud applications using the e-Science Central platform.

Hugo Hiden1, Simon Woodman, Paul Watson

  • 1School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 12, 2012
PubMed
Summary
This summary is machine-generated.

e-Science Central (e-SC) offers a cloud platform for scientific data management and analysis. This system enables scientists to process data, run workflows, and collaborate using web browsers, enhancing research capabilities.

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Area of Science:

  • Computer Science
  • Scientific Computing
  • Cloud Computing

Background:

  • Scientific research increasingly relies on large datasets and complex analyses.
  • Existing platforms often lack flexibility for diverse scientific workflows and collaboration.
  • The need for scalable, accessible, and portable scientific data processing systems is critical.

Purpose of the Study:

  • To describe the e-Science Central (e-SC) cloud data processing system.
  • To present its application in various e-Science projects.
  • To detail the system's architecture, API, and deployment flexibility.

Main Methods:

  • Development of a portable cloud platform offering Software as a Service (SaaS) and Platform as a Service (PaaS).
  • Implementation of a web-based interface for data upload, workflow execution, and results sharing.
  • Design of a Representational State Transfer (REST)-based Application Programming Interface (API) for external application integration.
  • Deployment on both private (Eucalyptus) and public clouds (Amazon AWS, Microsoft Windows Azure).

Main Results:

  • e-SC successfully supports scientific data management, analysis, and collaboration across different cloud environments.
  • The system facilitates easy integration of custom analysis services by developers.
  • Demonstrated utility in three distinct case studies: spectral data visualization, medical data analysis, and chemical property prediction.

Conclusions:

  • e-Science Central provides a robust and flexible cloud-based solution for scientific data processing and collaboration.
  • Its portable architecture and comprehensive API enable the development of scalable, secure, cloud-based scientific applications.
  • The system effectively addresses the needs of modern e-Science projects, enhancing research efficiency and accessibility.