A topology-aware method for scientific application deployment on cloud Online publication date: Wed, 29-Oct-2014
by Pei Fan; Zhenbang Chen; Ji Wang; Zibin Zheng; Michael R. Lyu
International Journal of Web and Grid Services (IJWGS), Vol. 10, No. 4, 2014
Abstract: Nowadays, more and more scientific applications are moving to cloud computing. The optimal deployment of scientific applications is critical for providing good services to users. Scientific applications are usually topology-aware applications. Therefore, considering the topology of a scientific application during the development will benefit the performance of the application. However, it is challenging to automatically discover and make use of the communication pattern of a scientific application while deploying the application on cloud. To attack this challenge, in this paper, we propose a framework to discover the communication topology of a scientific application by pre-execution and multi-scale graph clustering, based on which the deployment can be optimised. In addition, we present a set of efficient collective operations for cloud based on the common interconnect topology. Comprehensive experiments are conducted by employing a well-known MPI benchmark and comparing the performance of our method with those of other methods. The experimental results show the effectiveness of our topology-aware deployment method.
Online publication date: Wed, 29-Oct-2014
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