Extending YML to Be a Middleware for Scientific Cloud Computing

Authors:
Ling Shang;Serge G. Petiton;Nahid Emad;Xiaolin Yang;Zhijian Wang
Affiliations:
Lifl, University of Science and Technology of Lille, France and College of Computer and Information Engineering, Hohai University, China;Lifl, University of Science and Technology of Lille, France;PRiSM - Laboratoire d'informatique, UVSQ, Versailles, France;Lifl, University of Science and Technology of Lille, France;College of Computer and Information Engineering, Hohai University, China
Venue:
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Year:
2009

Citing 4
Cited 0

A Peer to Peer Computing Framework: Design and Performance Evaluation of YML

ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
TM-DG: a trust model based on computer users' daily behavior for desktop grid platform

Proceedings of the 2007 symposium on Component and framework technology in high-performance and scientific computing
Large Scale Computing on Component Based Framework Easily Adaptive to Cluster and Grid Environments

CHINAGRID '08 Proceedings of the The Third ChinaGrid Annual Conference (chinagrid 2008)
Workflow Global Computing with YML

GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Grid computing has gained great success in harnessing computing resources. But its progress of gridfication on scientific computing is slower than anticipation. This paper analyzes these reasons of hard gridification in detail. While cloud computing as a new paradigm shows its advantages for its many good features such as lost cost, pay by use, easy of use and non trivial Qos. Based on analysis on existing cloud paradigm, a cloud platform architecture based on YML for scientific computing is presented. Emulations testify we are on the right way to extending YML to be middleware for cloud computing. Finally on going improvements on YML and open problem are also presented in this paper.