Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44085
Title: (WIP) Tasks Selection Policies for Securing Sensitive Data on Workflow Scheduling in Clouds.
Authors: Shishido, Henrique Yoshikazu
Estrella, Júlio Cezar
Toledo, Claudio Fabiano Motta
Reiff-Marganiec, Stephan
First Published: 6-Sep-2018
Presented at: 2018 IEEE International Conference on Services Computing (SCC), San Francisco, CA, USA
Start Date: 2-Jul-2018
End Date: 7-Jul-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 2018 IEEE International Conference on Services Computing (SCC), 2018, pp. 233-236
Abstract: Scheduling is an important topic to support data security for workflow execution in clouds. Some workflow scheduling algorithms use security services such as authentication, integrity verification, and encryption for all workflow tasks. However, applying security services to no sensitive data does not make sense as no benefit is gained, yet it increases the makespan and monetary costs. In this paper, we introduce five policies for selection of tasks that handle sensitive data. We also propose a workflow scheduling algorithm based on a multi-populational genetic algorithm for minimizing cost while meeting a deadline. Experiments using four workflow applications show that our proposal can minimize both the makespan and cost, while maintaining the security of sensitive data compared to another approach in the literature.
DOI Link: 10.1109/SCC.2018.00037
ISBN: 978-1-5386-7250-1
Links: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8454864
http://hdl.handle.net/2381/44085
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2018, Institute of Electrical and Electronics Engineers (IEEE). Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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