Towards Scheduling Data-Intensive and Privacy-Aware Workflows in Clouds

Abstract

Nowadays, business or scientific workflows with a massive of data are springing up in clouds. To avoid security and privacy leakage issues, users’ privacy or sensitive data may be restricted to being processed in some specified and trusted cloud datacenters. Meanwhile, users may also pay attention to the cost incurred by renting cloud resources. Therefore… (More)
DOI: 10.1007/978-3-319-59288-6_44

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