Improving Scientific Workflow with Cloud Offloading

2017/10/04 by Hao Qian, Qian, Hao
Computer Science · Decision Sciences · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Scientific Computing and Data Management #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.1710.01429

openalex publication_date 2017/10/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Scientific workflow is a powerful tool to streamline and organize computational steps of scientific application. This paper presents Emerald, a system that adds sophisticated cloud offloading capabilities to scientific workflows. Emerald automatically offloads computation intensive steps of scientific workflow to the cloud in order to enhance workflow performance. Emerald provides easy-to-use APIs to help developers build cloud offloading enabled scientific workflows. Evaluation showed that Emerald can effectively reduce up to 55% of execution time for scientific applications.

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