Research computing in a distributed cloud environment

• Published in: Journal of physics. Conference series 2010-11, Vol.256 (1), p.012003
• Main Authors: Fransham, K, Agarwal, A, Armstrong, P, Bishop, A, Charbonneau, A, Desmarais, R, Hill, N, Gable, I, Gaudet, S, Goliath, S, Impey, R, Leavett-Brown, C, Ouellete, J, Paterson, M, Pritchet, C, Penfold-Brown, D, Podaima, W, Schade, D, Sobie, R J
• Format: Article
• Language: English
• Subjects: Cloud computing; Data analysis; Physics; Resource scheduling; Virtual environments
• ISSN: 1742-6596; 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/256/1/012003

The recent increase in availability of Infrastructure-as-a-Service (IaaS) computing clouds provides a new way for researchers to run complex scientific applications. However, using cloud resources for a large number of research jobs requires significant effort and expertise. Furthermore, running jobs on many different clouds presents even more difficulty. In order to make it easy for researchers to deploy scientific applications across many cloud resources, we have developed a virtual machine resource manager (Cloud Scheduler) for distributed compute clouds. In response to a user's job submission to a batch system, the Cloud Scheduler manages the distribution and deployment of user-customized virtual machines across multiple clouds. We describe the motivation for and implementation of a distributed cloud using the Cloud Scheduler that is spread across both commercial and dedicated private sites, and present some early results of scientific data analysis using the system.