Earticle

초록

영어

Grid promises significant advances in support of e-science application, whilst much of the predicted infrastructure is still under development. Deployment of these applications across the grid continues requiring a high level of expertise and a significant amount of efforts, mainly due to overall complexity of the grid. Large scale parallel scientific applications often require computational and data grids to obtain large compute and data resources necessary for execution regardless of heterogeneity, occurrences of faults and complexity.
This research paper reveals the grid enabled computing capabilities for climate impact modeling and change detection facilitating for rainfall prediction. The large dataset utilized in computations are Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite (HOAPS) data. It presents the basic field of air-sea interaction parameters and covers the period July 1987 to December 2005. In order to assess the valuable user friendliness of grid computing to a large community of researchers who need to perform large scale computation, we deployed an application developed for rainfall prediction on NirmaGrid Testbed.

목차

Abstract
 1. Introduction
  1.1 Computational Grid
 2. Configuration of Nirma Grid – Testbed for Prototype Development
 3. Analysis of HOAPS Data
  3.1 Dataset Description
  3.2 Design
 4. Implementation and Results
 5. Performance Analysis
  5.1 Analysis of Anomalies
 6. Conclusion
 References

키워드

저자

• Madhuri Bhavsar [ Department of CSE, Institute of Technology, Nirma University ]
• Anupam Singh [ Department of Civil Engineering, Institute of Technology, Nirma University ]
• Shrikant Pradhan [ Department of CSE, Institute of Technology, Nirma University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605