MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
DRAM errors in the wild: a large-scale field study
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Hadoop: The Definitive Guide
Cycles, cells and platters: an empirical analysisof hardware failures on a million consumer PCs
Proceedings of the sixth conference on Computer systems
Byzantine Fault-Tolerant MapReduce: Faults are Not Just Crashes
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
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Most cloud computing services execute software on behalf of their users. Many war stories and several studies suggest that such software execution is threatened by accidental arbitrary faults and malicious insiders. We present two lines of work to protect software execution in the cloud. The first replicates tasks to protect MapReduce executions from the effects of accidental arbitrary faults. The second uses hardware-based security to protect software execution from malicious insiders.