HFSP: The Hadoop Fair Sojourn Protocol

[1]  Magdalena Balazinska,et al.  Abstract: Hadoop's Adolescence; A Comparative Workloads Analysis from Three Research Clusters , 2012, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis.

[2]  Yanpei Chen,et al.  Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads , 2012, Proc. VLDB Endow..

[3]  Roy H. Campbell,et al.  Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance , 2012, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[4]  Xiaoqiao Meng,et al.  Delay tails in MapReduce scheduling , 2012, SIGMETRICS '12.

[5]  Magdalena Balazinska,et al.  SkewTune: mitigating skew in mapreduce applications , 2012, SIGMOD Conference.

[6]  Srikanth Kandula,et al.  Reoptimizing Data Parallel Computing , 2012, NSDI.

[7]  Xiaoqiao Meng,et al.  Performance analysis of Coupling Scheduler for MapReduce/Hadoop , 2012, 2012 Proceedings IEEE INFOCOM.

[8]  Anastasia Ailamaki,et al.  Same Queries, Different Data: Can we Predict Query Performance? , 2012 .

[9]  Yanpei Chen.  We Don't Know Enough to make a Big Data Benchmark Suite - An Academia-Industry View , 2012 .

[10]  Raouf Boutaba,et al.  Mitigating the negative impact of preemption on heterogeneous MapReduce workloads , 2011, 2011 7th International Conference on Network and Service Management.

[11]  Archana Ganapathi,et al.  The Case for Evaluating MapReduce Performance Using Workload Suites , 2011, 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems.

[12]  Roy H. Campbell,et al.  ARIA: automatic resource inference and allocation for mapreduce environments , 2011, ICAC '11.

[13]  Anirban Dasgupta,et al.  On scheduling in map-reduce and flow-shops , 2011, SPAA '11.

[14]  Murali S. Kodialam,et al.  Scheduling in mapreduce-like systems for fast completion time , 2011, 2011 Proceedings IEEE INFOCOM.

[15]  Benjamin Hindman,et al.  Dominant Resource Fairness: Fair Allocation of Multiple Resource Types , 2011, NSDI.

[16]  Randy H. Katz,et al.  Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center , 2011, NSDI.

[17]  Kyle Fox,et al.  Online scheduling on identical machines using SRPT , 2010, SODA '11.

[18]  Kemafor Anyanwu,et al.  Scheduling Hadoop Jobs to Meet Deadlines , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[19]  Kun-Lung Wu,et al.  FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads , 2010, Middleware.

[20]  Thomas Sandholm,et al.  Dynamic Proportional Share Scheduling in Hadoop , 2010, JSSPP.

[21]  Scott Shenker,et al.  Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling , 2010, EuroSys '10.

[22]  Andrew V. Goldberg,et al.  Quincy: fair scheduling for distributed computing clusters , 2009, SOSP '09.

[23]  Chao Tian,et al.  A Dynamic MapReduce Scheduler for Heterogeneous Workloads , 2009, 2009 Eighth International Conference on Grid and Cooperative Computing.

[24]  Thomas Sandholm,et al.  MapReduce optimization using regulated dynamic prioritization , 2009, SIGMETRICS '09.

[25]  Sanjay Ghemawat,et al.  MapReduce: simplified data processing on large clusters , 2008, CACM.

[26]  Peter A. Dinda,et al.  Size-based scheduling policies with inaccurate scheduling information , 2004, The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings..

[27]  Eric J. Friedman,et al.  Fairness and efficiency in web server protocols , 2003, SIGMETRICS '03.