Comparative study between Hadoop and Spark based on Hibench benchmarks
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[1] Ciprian Dobre,et al. Parallel Programming Paradigms and Frameworks in Big Data Era , 2013, International Journal of Parallel Programming.
[2] Rong Gu,et al. Performance Optimization for Short MapReduce Job Execution in Hadoop , 2012, 2012 Second International Conference on Cloud and Green Computing.
[3] Michael J. Franklin,et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing , 2012, NSDI.
[4] Shengsheng Huang,et al. HiBench : A Representative and Comprehensive Hadoop Benchmark Suite , 2012 .
[5] Jie Huang,et al. The HiBench benchmark suite: Characterization of the MapReduce-based data analysis , 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).
[6] Hongxu Ma,et al. Deploying and researching Hadoop in virtual machines , 2012, 2012 IEEE International Conference on Automation and Logistics.
[7] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[8] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[9] M. Anusha,et al. Big Data-Survey , 2016 .
[10] Kewen Wang,et al. Predator — An experience guided configuration optimizer for Hadoop MapReduce , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.
[11] F. W. Vaandrager. Mapreduce Framework Performance Comparison , .
[12] GhemawatSanjay,et al. The Google file system , 2003 .