Computational Technology Resources - CCP

Keywords: cloud computing, finite element analysis, PaaS, structural mechanics, CalculiX, task scheduling, multi-core, parallel, MPI.

Summary

According to the U.S. National Institute of Standards and Technology (NIST): "Cloud Computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources ...that can be rapidly provisioned and released with minimal management effort". NIST further differentiates cloud as having "five essential characteristics, three service models, and four deployment models". Cloud services should essentially have on-demand network-based accessibility, resource pooling and rapid elasticity characteristics, could be provided via software, platform or infrastructure as-a-service models, and be made available through private, community, public or hybrid deployments. Our experience with the engineering and scientific communities revealed the need for cloud computing (CC) services that can be shared for solving common problems in different disciplines.

Our contributions are as follows:

The design of a new online FEA cloud service.
Performance characterization over parallel (multi-core) and distributed (multi-node) resources.
A comprehensive evaluation of alternative job execution strategies for different FEA jobs.
Concurrent execution of batches and mixes of jobs to enable high-performance many-task job processing.
Comparisons of different scheduling approaches.
Integration of SPOOLES Message Passing Interface (MPI) version into CalculiX FEA tool.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 95 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 87 Smart Job Scheduling for High-Performance Cloud Computing Services N. Muhtaroglu and I. Ari Ozyegin University, Turkey doi:10.4203/ccp.95.87 purchase the full-text of this paper Full Bibliographic Reference for this paper N. Muhtaroglu, I. Ari, "Smart Job Scheduling for High-Performance Cloud Computing Services", in , (Editors), "Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 87, 2011. doi:10.4203/ccp.95.87 Keywords: cloud computing, finite element analysis, PaaS, structural mechanics, CalculiX, task scheduling, multi-core, parallel, MPI. Summary According to the U.S. National Institute of Standards and Technology (NIST): "Cloud Computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources ...that can be rapidly provisioned and released with minimal management effort". NIST further differentiates cloud as having "five essential characteristics, three service models, and four deployment models". Cloud services should essentially have on-demand network-based accessibility, resource pooling and rapid elasticity characteristics, could be provided via software, platform or infrastructure as-a-service models, and be made available through private, community, public or hybrid deployments. Our experience with the engineering and scientific communities revealed the need for cloud computing (CC) services that can be shared for solving common problems in different disciplines. Our contributions are as follows: The design of a new online FEA cloud service. Performance characterization over parallel (multi-core) and distributed (multi-node) resources. A comprehensive evaluation of alternative job execution strategies for different FEA jobs. Concurrent execution of batches and mixes of jobs to enable high-performance many-task job processing. Comparisons of different scheduling approaches. Integration of SPOOLES Message Passing Interface (MPI) version into CalculiX FEA tool. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
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