sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Monetary Cost Optimizations for MPI-Based HPC Applications on Amazon Clouds: Checkpoints and Replicated Execution

SESSION: Cloud Resource Management


EVENT TAG(S): Clouds and Distributed Computing

TIME: 10:30AM - 11:00AM


AUTHOR(S):Yifan Gong, Bingsheng He, Amelie Chi Zhou



In this paper, we propose monetary cost optimizations for MPI-based applications with deadline constraints on Amazon EC2 clouds. Particularly, we consider to utilize two kinds of Amazon EC2 instances (on-demand and spot instances). As a spot instance can fail at any time due to out-of-bid events, fault tolerant executions are necessary. Through detailed studies, we have found that two common fault tolerant mechanisms, i.e., checkpoint and replicated executions, are complementary with each other for cost-effective MPI executions on spot instances. Therefore, we formulate the optimization problem, and propose a novel cost model to minimize the expected monetary cost. The experimental results with NPB benchmarks on Amazon EC2 demonstrate that 1)it is feasible to run MPI applications with performance constraints on spot instances, 2) our proposal achieves the significant monetary
cost reduction and the necessity of adaptively choosing checkpoint and replication techniques for cost-effective and reliable MPI executions on Amazon EC2.

Chair/Author Details:

Brent Welch (Chair) - Google|

Yifan Gong - Nanyang Technological University

Bingsheng He - Nanyang Technological University

Amelie Chi Zhou - Nanyang Technological University

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society