Selective Research Papers Using BigDataBench
1. Cloud Data Protection
Sherif Akoush, Lucian Carata, Ripduman Sohan and Andy Hopper, Computer Laboratory, University of Cambridge, MrLazy: Lazy Runtime Label Propagation for MapReduce. In 6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 14)
2. Workload Characterization
Zhen Jia, Jianfeng Zhan, Wang Lei, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, and Jingwei Li. Characterizing and subsetting big data workloads [PDF]. In 2014 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 2014.
Tao Jiang, Qianlong Zhang, Rui Hou, Lin Chai, Sally A. Mckee, Zhen Jia, and Ninghui Sun. Understanding the Behavior of In-Memory Computing Workloads [PDF]. In 2014 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 2014.
Wei Wei, Dejun Jiang, Jin Xiong, Mingyu Chen. Exploring Opportunities for Non-Volatile Memories in Big Data Applications. BPOE-4, in conjunction with ASPLOS 2014.
Fengfeng Pan, YinliangYue, and Jin Xiong. I/O Characterization of Big Data Workloads in Data Centers. BPOE-4, in conjunction with ASPLOS 2014.
Zhen Jia, Lei Wang, Jianfeng Zhan, Lixin Zhang, Chunjie Luo. Characterizing data analysis workloads in data centers. [PDF] [Slides]. 2013 IEEE International Symposium on Workload Characterization (IISWC 2013)（Best paper award）
3. Evaluating and Optimizing Big Data Hardware Systems
Quan, J., Shi, Y., Zhao, M., & Yang, W. (2013, October).The implications from benchmarking three big data systems.[PDF].In Big Data, 2013 IEEE International Conference on (pp. 31-38). IEEE.
4. SSD Cache Management
Liu, J., Chai, Y., Qin X., & Xiao, Y. PLC-Cache: Endurable SSD Cache for Deduplication-based Primary Storage. [pdf]. In Proceeding of MSST 2014 (30th International Conference on Massive Storage Systems and Technology).
5. Performance diagnosis and Optimization of Big Data Systems
Pengfei Chen, Yong Qi, Di Hou, and Huachong Sun. InvarNet-X : A Comprehensive Invariant based Approach for Performance Diagnosis in Big Data Platform. [PDF] The fifth workshop on big data benchmarks, performance optimization and emerging hardware, in conjunction with VLDB 2014, Hangzhou, China.
Chen, P., Qi, Y., Li, X., & Su, L. (2013, October). An ensemble MIC-based approach for performance diagnosis in big data platform. [PDF]. In Big Data, 2013 IEEE International Conference on (pp. 78-85). IEEE.
6. Evaluating and Optimizing Big Data Systems Energy Efficiency
Zhou, R., Shi, Y., & Zhu, C. (2013, October). AxPUE: Application level metrics for power usage effectiveness in data centers. [PDF].In Big Data, 2013 IEEE International Conference on (pp. 110-117). IEEE.
7. Evaluation of Virtualization Systems
Ning, F., Weng, C., &Luo, Y. (2013, October). Virtualization I/O optimization based on shared memory.[PDF].In Big Data, 2013 IEEE International Conference on (pp. 70-77). IEEE.
8. Evaluating Programming Systems
Liang, Fan; Feng, Chen; Lu, Xiaoyi; Xu, Zhiwei, “Performance Characterization of Hadoop and Data MPI Based on Amdahl’s Second Law,” Networking, Architecture, and Storage (NAS), 2014 9th IEEE International Conference on , vol., no., pp.207,215, 6-8 Aug. 2014
Liang Fan, Feng Chen, Lu Xiaoyi and Xu Zhiwei. Performance Benefits of DataMPI: A Case Study with BigDataBench. BPOE-4, in conjunction with ASPLOS 2014.
9. Resource management and scheduling
Yi Liang, Yufeng Wang, Minglu Fan, Chen Zhang, Yuqing Zhu. Predoop: Preempting Reduce Task for job execution accelerations. [PDF] The fifth workshop on big data benchmarks, performance optimization and emerging hardware, in conjunction with VLDB 2014, Hangzhou, China.
Selective Papers Citing BigDataBench
Zujie Ren, Weisong Shi and Jian Wan. Towards Realistic Benchmarking in Cloud File Systems: Early Experiences, in Procceedings of the 2014 IEEE International Symposium on Workload Characterization (IISWC ’14), Raleigh, NC, Oct. 26-28, 2014.
Chowdhury, Badrul, Tilmann Rabl, Pooya Saadatpanah, Jiang Du, and Hans-Arno Jacobsen. University of Toronto. “A BigBench Implementation in the Hadoop Ecosystem.” In Advancing Big Data Benchmarks. Springer International Publishing.
Ammar, K., & Özsu, M. T. (2014). WGB: Towards a Universal Graph Benchmark. In Advancing Big Data Benchmarks (pp. 58-72). Springer International Publishing.
Afsin Akdogan, Hien To, Seon Ho Kim, and Cyrus Shahabi. University of Southern California. A Benchmark to Evaluate Mobile Video Upload to Cloud Infrastructures. The fifth workshop on big data benchmarks, performance optimization and emerging hardware, in conjunction with VLDB 2014, Hangzhou, China.
Jianfeng Zhan; Lei Wang; Xiaona Li; Weisong Shi; ChuliangWeng; Wenyao Zhang; XiutaoZang, “Cost-Aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers,” Computers, IEEE Transactions on , vol.62, no.11, pp.2155,2168, Nov. 2013
Liu, S., Xu, J., Liu, Z., & Liu, X. (2013, October). Evaluating task scheduling in hadoop-based cloud systems. In Big Data, 2013 IEEE International Conference on (pp. 47-53). IEEE.