A novel cloud model based data placement strategy for data-intensive application in clouds

Wang, 2013, G-Hadoop: mapreduce across distributed data centers for data-intensive computing, Future Gener Comput Syst, 29, 739, 10.1016/j.future.2012.09.001

Deelman, 2008, Data management challenges of data-intensive scientific workflows, 687

Van Essen, 2015, Di-mmap — a scalable memory-map runtime for out-of-core data-intensive applications, Cluster Comput, 18, 15, 10.1007/s10586-013-0309-0

Armbrust, 2010, A view of cloud computing, Commun ACM, 53, 50, 10.1145/1721654.1721672

Shang, 2011, A novel power management for CMP systems in data-intensive environment, 92

Wang, 2012, Uncertain QoS-aware skyline service selection based on cloud model, J Software, Ruanjian Xuebao, 23, 1397, 10.3724/SP.J.1001.2012.04084

Shi, 2013, A survey of query techniques in cloud data management systems, Chin J Comput, 36, 209, 10.3724/SP.J.1016.2013.00209

Apache Forrest. What is apache Hadoop?2017. http://hadoop.apache.org.

Ghemawat, 2003, vol. 37, 29

Maheshwari, 2012, Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework, Future Gener Comput Syst, 28, 119, 10.1016/j.future.2011.07.001

Krish, 2014, hatS: a heterogeneity-aware tiered storage for Hadoop, 502

Song, 2015, Energy consumption optimization data placement algorithm for MapReduce system, J Software, 26, 2091

Liu, 2011, A two-step data placement and task scheduling strategy for optimizing scientific workflow performance on cloud computing platform, Chin J Comput, Jisuanji Xuebao, 34, 2121, 10.3724/SP.J.1016.2011.02121

Yuan, 2010, A data placement strategy in scientific cloud workflows, Future Gener Comput Syst, 26, 1200, 10.1016/j.future.2010.02.004

Deng, 2013, A clustering based coscheduling strategy for efficient scientific workflow execution in cloud computing, Concurrency Comput, 25, 2523, 10.1002/cpe.3084

Zheng, 2010, A data placement strategy for data-intensive applications in cloud, Chin J Comput, Jisuanji Xuebao, 33, 1472, 10.3724/SP.J.1016.2010.01472

Pandey, 2010, A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments, 400

Xu, 2014, A new multi-step backward cloud transformation algorithm based on normal cloud model, Fundam Inf, 133, 55, 10.3233/FI-2014-1062

Yuchao, 2011, Collective intelligence and uncertain knowledge representation in cloud computing, China Commun, 8, 58

Wang, 2014, Generic normal cloud model, Inf Sci (Ny), 280, 1, 10.1016/j.ins.2014.04.051

Chen, 2015, Enhancing recommender diversity using gaussian cloud transformation, Int J Uncertainty Fuzziness Knowledge Based Syst, 23, 521, 10.1142/S0218488515500233

Deyi, 1995, Membership clouds and membership cloud generators, J Comput Res Dev, 32, 1

Bert, 2012

Gideon, 2014