IntegrityMR: Exploring Result Integrity Assurance Solutions for Big Data Computing Applications

Yongzhi Wang, Jinpeng Wei, Mudhakar Srivatsa, Yucong Duan, Wencai Du · ˜The œInternational journal of networked and distributed computing · 2016

Large-scale adoption of MapReduce applications on public clouds is hindered by the lack of trust on the participating virtual machines deployed on the public cloud.In this paper, we propose IntegrityMR, a multi-public clouds architecture-based solution, which performs the MapReduce-based result integrity check techniques at two alternative layers: the task layer and the application layer.Our experimental results show that solutions in both layers offer a high result integrity but non-negligible performance overheads.

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