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(WIP) Tasks Selection Policies for Securing Sensitive Data on Workflow Scheduling in Clouds.

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conference contribution
posted on 14.05.2019, 13:46 by Henrique Yoshikazu Shishido, Júlio Cezar Estrella, Claudio Fabiano Motta Toledo, Stephan Reiff-Marganiec
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.

Funding

The authors acknowledge CAPES, FAPESP, CNPq and USP for the resources provided, USP and UTFPR for the scholarship to Henrique Yoshikazu Shishido.

History

Citation

2018 IEEE International Conference on Services Computing (SCC), 2018, pp. 233-236

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

2018 IEEE International Conference on Services Computing (SCC), San Francisco, CA, USA

Version

AM (Accepted Manuscript)

Published in

2018 IEEE International Conference on Services Computing (SCC)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

isbn

978-1-5386-7250-1

Copyright date

2018

Available date

14/05/2019

Publisher version

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8454864

Temporal coverage: start date

02/07/2018

Temporal coverage: end date

07/07/2018

Language

en