Please use this identifier to cite or link to this item: https://doi.org/10.1145/2523616.2525944
Title: Towards a general framework for secure MapReduce computation on hybrid clouds
Authors: Zhang, C.
Chang, E.-C. 
Yap, R.H.C. 
Keywords: Data security
Hybrid clouds
Information leakage
MapReduce
Issue Date: 2013
Citation: Zhang, C.,Chang, E.-C.,Yap, R.H.C. (2013). Towards a general framework for secure MapReduce computation on hybrid clouds. Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013 : -. ScholarBank@NUS Repository. https://doi.org/10.1145/2523616.2525944
Abstract: The idea of a hybrid cloud is to combine a private cloud (e.g., an organization's in-house private datacenter) together with a public cloud (e.g., Amazon EC2). Hybrid cloud computing offers increased scalability and cost-effectiveness: the private cloud can be used for typical workloads, but when additional resources are needed during peak computations, the public cloud is harnessed. This hybrid cloud architecture has already gained adoption [1] and is still undergoing rapid development [4].
Source Title: Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/78398
DOI: 10.1145/2523616.2525944
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