A privacy-aware virtual machine migration framework on hybrid clouds

With the proliferation of hybrid clouds in both cost-saving and effectiveness, a growing number of users are building their own private cloud. However, private cloud can only provide limited resource, and always resorts to public cloud in order to meet elastic service requirements. Generally, public cloud is operated by commercial service providers (CSPs) who are not completely honest with users to some extent. So, existing hybrid clouds service models are hampered by privacy concerns, and one of the main reasons is that a majority of users' workloads involves sensitive contents and therefore can't be directly outsourced to public cloud without proper protection. In this paper, we present a novel framework that makes such privacy-aware VM migration effectively. At First, all the users' workloads are uploading and running in private cloud VMs then labeling the sensitive and non-sensitive VMs. Then, we design an effective way focusing on how to get VM migration queue without introducing heavy inter-cloud communication traffic after migration. Finally, non-sensitive VMs are migrated to public cloud with utmost effort by live migration premised on minimal service level agreement (SLA) disruption. Experiment results illustrate that our proposed framework is effective while occurring an acceptable communication overhead.