NDLI: A Data-Aware Partitioning and Optimization Method for Large-Scale Workflows in Hybrid Computing Environments

Content Provider	IEEE Xplore Digital Library
Author	Rubing Duan Xiaorong Li
Copyright Year	2013
Description	Author affiliation: Inst. of High Performance Comput., A*STAR, Singapore, Singapore (Rubing Duan; Xiaorong Li)
Abstract	While hybrid computing environments provide good potential for achieving high performance and low economic cost, it also introduces a broad set of unpredictable overheads especially for running data-intensive applications. This paper describes a novel approach which refines workflow structures and optimizes intermediate data transfers for large-scale scientific workflows containing thousands (or even millions) of tasks. The proposed method includes pre- and post-partitioning of workflows and data-flow optimization. Firstly, it partitions a workflow by identifying the critical path of the task graph. Secondly, it controls the granularity of partitions to reduce the complexity of task graph in order to process large-scale workflows. Thirdly, it optimizes the data-flow based on the scheduling to minimize its communication overheads. Our proposed approach is able to handle complex data flows and significantly reduce data transfer by replacing individual tasks according to data dependencies. We conducted experiments using real applications such as Montage and Broadband, and the results demonstrated the effectiveness of our methods in achieving low execution time with low communication overhead in a hybrid computing environments.
Sponsorship	IEEE Tech. Comm. Distrib. Process.
Starting Page	126
Ending Page	133
File Size	866677
Page Count	8
File Format	PDF
ISBN	9781479920815
ISSN	15219097
DOI	10.1109/ICPADS.2013.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partitioning algorithms Data transfer Optimization Parallel processing Complexity theory Algorithm design and analysis Physics
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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