title: A method for efficient execution of bioinformatics workflows.
abstract: Efficient execution of data-intensive workflows has been playing an important role in bioinformatics as the amount of data has been rapidly increasing. The execution of such workflows must take into account the volume and pattern of communication. When orchestrating data-centric workflows, a centralized workflow engine can become a bottleneck to performance. To cope with the bottleneck, a hybrid approach with choreography for data management of workflows is proposed. However, when a workflow includes many repetitive operations, the approach might not gain good performance because of the overheads of its additional mechanism. This paper presents and evaluates an improvement of the hybrid approach for managing a large amount of data. The performance of the proposed method is demonstrated by measuring execution times of example workflows.
authors.affiliation: Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan. j-seo@ist.osaka-u.ac.jp
authors.forename: Junya
authors.initials: J
authors.lastname: Seo
authors.forename: Yoshiyuki
authors.initials: Y
authors.lastname: Kido
authors.forename: Shigeto
authors.initials: S
authors.lastname: Seno
authors.forename: Yoichi
authors.initials: Y
authors.lastname: Takenaka
authors.forename: Hideo
authors.initials: H
authors.lastname: Matsuda
mesh_terms: D019295:Computational Biology; D003628:Database Management Systems