CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems
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Albert Y. Zomaya | Keqin Li | Samee Ullah Khan | Qutaibah M. Malluhi | Tamer Elsayed | Fan Zhang | S. Khan | Keqin Li | Q. Malluhi | T. Elsayed | Fan Zhang
[1] Fan Zhang,et al. Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds , 2014, 2014 IEEE 7th International Conference on Cloud Computing.
[2] Ashraf Aboulnaga,et al. ReStore: Reusing Results of MapReduce Jobs , 2012, Proc. VLDB Endow..
[3] Ian Foster,et al. The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.
[4] Songting Chen,et al. Cheetah , 2010, Proc. VLDB Endow..
[5] Ian Foster,et al. Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers , 2009, HiPC 2009.
[6] Samee Ullah Khan,et al. A goal programming based energy efficient resource allocation in data centers , 2012, The Journal of Supercomputing.
[7] Fan Zhang,et al. Cluster-Size Scaling and MapReduce Execution Times , 2013, 2013 IEEE 5th International Conference on Cloud Computing Technology and Science.
[8] Rajkumar Buyya,et al. High Performance Mass Storage and Parallel I/O: Technologies and Applications , 2001 .
[9] Jingren Zhou,et al. SCOPE: easy and efficient parallel processing of massive data sets , 2008, Proc. VLDB Endow..
[10] Yuan Yu,et al. Dryad: distributed data-parallel programs from sequential building blocks , 2007, EuroSys '07.
[11] Rajkumar Buyya,et al. High Performance Cluster Computing , 1999 .
[12] Jeffrey D. Ullman,et al. Optimizing Multiway Joins in a Map-Reduce Environment , 2011, IEEE Transactions on Knowledge and Data Engineering.
[13] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[14] Bin Cong,et al. Scalable Parallel Computing: Technology, Architecture, Programming , 1999, Scalable Comput. Pract. Exp..
[15] Michael Isard,et al. DryadInc: Reusing Work in Large-scale Computations , 2009, HotCloud.
[16] Jignesh M. Patel,et al. A comparison of join algorithms for log processing in MaPreduce , 2010, SIGMOD Conference.
[17] Samee Ullah Khan,et al. A goal programming approach for the joint optimization of energy consumption and response time in computational grids , 2009, 2009 IEEE 28th International Performance Computing and Communications Conference.
[18] Ravi Kumar,et al. Pig latin: a not-so-foreign language for data processing , 2008, SIGMOD Conference.
[19] Pramod Bhatotia,et al. Incoop: MapReduce for incremental computations , 2011, SoCC.
[20] Mirek Riedewald,et al. Processing theta-joins using MapReduce , 2011, SIGMOD '11.
[21] Anthony K. H. Tung,et al. MAP-JOIN-REDUCE: Toward Scalable and Efficient Data Analysis on Large Clusters , 2011, IEEE Transactions on Knowledge and Data Engineering.
[22] Min Wang,et al. Efficient Multi-way Theta-Join Processing Using MapReduce , 2012, Proc. VLDB Endow..
[23] Fan Zhang,et al. Dataset Scaling and MapReduce Performance , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[24] Abhijit Gosavi,et al. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning , 2003 .
[25] Carlos Guestrin,et al. Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud , 2012 .
[26] Kun-Lung Wu,et al. DEDUCE: at the intersection of MapReduce and stream processing , 2010, EDBT '10.
[27] Michael D. Ernst,et al. HaLoop , 2010, Proc. VLDB Endow..
[28] Jeffrey D. Ullman,et al. Optimizing joins in a map-reduce environment , 2010, EDBT '10.
[29] Douglas Stott Parker,et al. Map-reduce-merge: simplified relational data processing on large clusters , 2007, SIGMOD '07.
[30] Achim Streit,et al. MapReduce across Distributed Clusters for Data-intensive Applications , 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.
[31] Ami Marowka,et al. The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..
[32] Chao Tian,et al. Nova: continuous Pig/Hadoop workflows , 2011, SIGMOD '11.
[33] Joseph M. Hellerstein,et al. GraphLab: A New Framework For Parallel Machine Learning , 2010, UAI.
[34] Rajiv Ranjan,et al. G-Hadoop: MapReduce across distributed data centers for data-intensive computing , 2013, Future Gener. Comput. Syst..
[35] Albert Y. Zomaya,et al. Data-Intensive Workload Consolidation for the Hadoop Distributed File System , 2012, 2012 ACM/IEEE 13th International Conference on Grid Computing.
[36] Abhijit Gosavi,et al. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning , 2003 .
[37] Yong Zhao,et al. Many-task computing for grids and supercomputers , 2008, 2008 Workshop on Many-Task Computing on Grids and Supercomputers.
[38] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[39] Leonardo Neumeyer,et al. S4: Distributed Stream Computing Platform , 2010, 2010 IEEE International Conference on Data Mining Workshops.
[40] Qutaibah M. Malluhi,et al. ConMR: Concurrent MapReduce Programming Model for Large Scale Shared-Data Applications , 2013, 2013 42nd International Conference on Parallel Processing.