Yongzhi Wang, Jinpeng Wei, et al.
Big Data 2013
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.
Yongzhi Wang, Jinpeng Wei, et al.
Big Data 2013
Saritha Arunkumar, Berker Soyluoglu, et al.
J. Network Comput. Appl.
Dinesh Verma, Seraphin Calo, et al.
ICCCN 2019
Saritha Arunkumar, Mudhakar Srivatsa, et al.
MILCOM 2015