RT Journal Article
JF 2012 IEEE Fifth International Conference on Cloud Computing
YR 2012
VO 00
SP 229
TI Risk-Aware Workload Distribution in Hybrid Clouds
A1 Kerim Yasin Oktay,
A1 Vaibhav Khadilkar,
A1 Bijit Hore,
A1 Murat Kantarcioglu,
A1 Sharad Mehrotra,
A1 Bhavani Thuraisingham,
K1 Cloud computing
K1 Computational modeling
K1 Resource management
K1 Dynamic programming
K1 Heuristic algorithms
K1 Data models
K1 Organizations
K1 hybrid cloud
K1 Data Privacy
K1 Cloud Computing
K1 Risk aware data processing
AB This paper explores an efficient and secure mechanism to partition computations across public and private machines in a hybrid cloud setting. We propose a principled framework for distributing data and processing in a hybrid cloud that meets the conflicting goals of performance, sensitive data disclosure risk and resource allocation costs. The proposed solution is implemented as an add-on tool for a Hadoop and Hive based cloud computing infrastructure. Our experiments demonstrate that the developed mechanism can lead to a major performance gain by exploiting both the hybrid cloud components without violating any pre-determined public cloud usage constraints.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 2159-6182
LA English
DO 10.1109/CLOUD.2012.128
LK http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.128