Please use this identifier to cite or link to this item:
https://doi.org/10.1145/2523616.2525944
| DC Field | Value | |
|---|---|---|
| dc.title | Towards a general framework for secure MapReduce computation on hybrid clouds | |
| dc.contributor.author | Zhang, C. | |
| dc.contributor.author | Chang, E.-C. | |
| dc.contributor.author | Yap, R.H.C. | |
| dc.date.accessioned | 2014-07-04T03:15:49Z | |
| dc.date.available | 2014-07-04T03:15:49Z | |
| dc.date.issued | 2013 | |
| dc.identifier.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 | |
| dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/78398 | |
| dc.description.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]. | |
| dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2523616.2525944 | |
| dc.source | Scopus | |
| dc.subject | Data security | |
| dc.subject | Hybrid clouds | |
| dc.subject | Information leakage | |
| dc.subject | MapReduce | |
| dc.type | Conference Paper | |
| dc.contributor.department | COMPUTATIONAL SCIENCE | |
| dc.description.doi | 10.1145/2523616.2525944 | |
| dc.description.sourcetitle | Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013 | |
| dc.description.page | - | |
| dc.identifier.isiut | NOT_IN_WOS | |
| Appears in Collections: | Staff Publications | |
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