Z. Zhang, L. Cherkasova, A. Verma, and B. T. Loo, Optimizing Completion Time and Resource Provisioning of Pig Programs, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.811-816, 2012.
DOI : 10.1109/CCGrid.2012.56

M. Khan, Y. Jin, M. Li, Y. Xiang, and C. J. Jiang, Hadoop Performance Modeling for Job Estimation and Resource Provisioning, IEEE Transactions on Parallel and Distributed Systems, vol.27, issue.2, pp.441-454, 2016.
DOI : 10.1109/TPDS.2015.2405552
URL : http://bura.brunel.ac.uk/bitstream/2438/11577/1/Fulltext.pdf

A. Verma, L. Cherkasova, and R. H. Campbell, Aria:automatic resource inference and allocation for mapreduce environments, International Conference on Autonomic Computing, pp.235-244, 2011.

D. Cheng, J. Rao, C. Jiang, and X. Zhou, Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters, 2015 IEEE International Parallel and Distributed Processing Symposium, pp.956-965, 2015.
DOI : 10.1109/IPDPS.2015.36

S. Li, S. Hu, S. Wang, L. Su, T. Abdelzaher et al., WOHA: Deadline-Aware Map-Reduce Workflow Scheduling Framework over Hadoop Clusters, 2014 IEEE 34th International Conference on Distributed Computing Systems, pp.93-103, 2014.
DOI : 10.1109/ICDCS.2014.18

X. Liu, C. Wang, B. B. Zhou, J. Chen, T. Yang et al., Priority-Based Consolidation of Parallel Workloads in the Cloud, IEEE Transactions on Parallel and Distributed Systems, vol.24, issue.9, pp.1874-1883, 2013.
DOI : 10.1109/TPDS.2012.262

G. Koutsandria, E. Skevakis, and A. A. Sayegh, Can everybody be happy in the cloud? Delay, profit and energy-efficient scheduling for cloud services, Journal of Parallel and Distributed Computing, vol.96, pp.202-217, 2016.
DOI : 10.1016/j.jpdc.2016.05.013

T. Clinkenbeard and A. Nica, Job Scheduling with Minimizing Data Communication Costs, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.2071-2072, 2015.
DOI : 10.1145/1460299.1460318

Q. Wang, X. Li, and J. Wang, A data placement and task scheduling algorithm in cloud computing, Journal of Computer Research and Development, vol.51, issue.11, pp.2416-2426, 2014.

M. Sun, H. Zhuang, C. Li, and K. Lu, Scheduling algorithm based on prefetching in MapReduce clusters, Applied Soft Computing, vol.38, pp.1109-1118, 2016.
DOI : 10.1016/j.asoc.2015.04.039

J. Cao, G. Zeng, J. Niu, and J. Xu, Availability-aware scheduling method for parallel task in cloud environment, Journal of Computer Research and Development, vol.50, issue.7, pp.1563-1572, 2013.

X. Zheng, M. Xiang, D. Zhang, and Q. Liu, An adaptive tasks scheduling method based on the ability of node in hadoop cluster, Journal of Computer Research and Development, vol.51, issue.3, pp.618-626, 2014.

Z. Li, S. Chen, B. Yang, and R. Li, Multi-objective memetic algorithm for task scheduling on heterogeneous cloud, Chinese Journal of Computers, vol.39, issue.2, pp.377-390, 2016.

M. C. Lee, J. C. Lin, and R. Yahyapour, Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters, IEEE Transactions on Parallel and Distributed Systems, vol.27, issue.6, pp.1687-1699, 2016.
DOI : 10.1109/TPDS.2015.2463817

X. Wang, D. Shen, M. Bai, T. Nie, Y. Kou et al., SAMES: deadline-constraint scheduling in MapReduce, Frontiers of Computer Science, vol.46, issue.1, pp.128-141, 2015.
DOI : 10.1145/2146382.2146388

Y. Wang and W. Shi, Budget-Driven Scheduling Algorithms for Batches of MapReduce Jobs in Heterogeneous Clouds, IEEE Transactions on Cloud Computing, vol.2, issue.3, pp.306-319, 2014.
DOI : 10.1109/TCC.2014.2316812

Y. Song, Y. Sun, and W. Shi, A Two-Tiered On-Demand Resource Allocation Mechanism for VM-Based Data Centers, IEEE Transactions on Services Computing, vol.6, issue.1, pp.116-129, 2013.
DOI : 10.1109/TSC.2011.41

W. Liu, Z. Wang, and Y. Shen, Job-aware network scheduling for hadoop cluster, KSII Transactions on Internet and Information Systems, vol.11, issue.1, pp.237-252, 2017.

K. A. Kumar, V. K. Konishetty, K. Voruganti, and G. V. Rao, CASH, Proceedings of the International Conference on Advances in Computing, Communications and Informatics, ICACCI '12, pp.52-61, 2012.
DOI : 10.1145/2345396.2345406

M. Mao and M. Humphrey, Auto-scaling to minimize cost and meet application deadlines in cloud workflows, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, pp.1-12, 2011.
DOI : 10.1145/2063384.2063449

J. Gasior and F. Seredynski, Metaheuristic Approaches to Multiobjective Job Scheduling in Cloud Computing Systems, 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp.222-229, 2016.
DOI : 10.1109/CloudCom.2016.0046

X. Wang, D. Shen, G. Yu, M. Bai, T. Nie et al., Resource on maximum benefit problem in a mapreduce cluster, Chinese Journal of Computers, vol.38, issue.1, pp.109-121, 2015.