Dynamic performance tuning of Hadoop

作者: K. C. Kamal , Vincent W. Freeh

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参考文章(17)
Mithuna Thottethodi, Faraz Ahmad, Seyong Lee, T. N. Vijaykumar, PUMA: Purdue MapReduce Benchmarks Suite ,(2012)
Kamal Kc, Vincent W. Freeh, Tuning Hadoop Map Slot Value Using CPU Metric Big Data Benchmarks, Performance Optimization, and Emerging Hardware. pp. 141- 153 ,(2014) , 10.1007/978-3-319-13021-7_11
Abhinav Pathak, Karthik Kambatla, Himabindu Pucha, Towards optimizing hadoop provisioning in the cloud ieee international conference on cloud computing technology and science. pp. 22- ,(2009)
Christopher Olston, Utkarsh Srivastava, Benjamin Reed, Adam Silberstein, Automatic optimization of parallel dataflow programs usenix annual technical conference. pp. 267- 273 ,(2008)
Herodotos Herodotou, Nedyalko Borisov, Harold Lim, Shivnath Babu, Fatma Bilgen Cetin, Gang Luo, Liang Dong, Starfish: A Self-tuning System for Big Data Analytics. conference on innovative data systems research. pp. 261- 272 ,(2011)
Scott Shenker, Ali Ghodsi, Matei Zaharia, Andy Konwinski, Benjamin Hindman, Ion Stoica, Dominant resource fairness: fair allocation of multiple resource types networked systems design and implementation. pp. 323- 336 ,(2011) , 10.5555/1972457.1972490
R. Clint Whaley, Antoine Petitet, Jack J. Dongarra, New trends in high performance computing ieee international conference on high performance computing data and analytics. ,vol. 27, pp. 3- 35 ,(2001) , 10.1016/S0167-8191(00)00087-9
T.F. Abdelzaher, N. Bhatti, Web server QoS management by adaptive content delivery international workshop on quality of service. pp. 216- 225 ,(1999) , 10.1109/IWQOS.1999.766497
Kun Wang, Ben Tan, Juwei Shi, Bo Yang, Automatic task slots assignment in Hadoop MapReduce Proceedings of the 1st Workshop on Architectures and Systems for Big Data. pp. 24- 29 ,(2011) , 10.1145/2377978.2377982
Min Li, Liangzhao Zeng, Shicong Meng, Jian Tan, Li Zhang, Ali R. Butt, Nicholas Fuller, MRONLINE: MapReduce online performance tuning high performance distributed computing. pp. 165- 176 ,(2014) , 10.1145/2600212.2600229