Cost Optimization in Multi Cloud Platforms using Priority Assignment
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[1] Jarek Nabrzyski,et al. Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds , 2012, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis.
[2] Marty Humphrey,et al. Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows , 2013, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing.
[3] Bingsheng He,et al. Distributed Systems Meet Economics: Pricing in the Cloud , 2010, HotCloud.
[4] Jianlong Zhong,et al. Network Performance Aware MPI Collective Communication Operations in the Cloud , 2015, IEEE Transactions on Parallel and Distributed Systems.
[5] Marty Humphrey,et al. Auto-scaling to minimize cost and meet application deadlines in cloud workflows , 2011, 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[6] Bingsheng He,et al. Transformation-Based Monetary CostOptimizations for Workflows in the Cloud , 2014, IEEE Transactions on Cloud Computing.
[7] Daniel S. Katz,et al. Pegasus: A framework for mapping complex scientific workflows onto distributed systems , 2005, Sci. Program..
[8] Radu Prodan,et al. A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments , 2013, IEEE Transactions on Parallel and Distributed Systems.
[9] Ewa Deelman,et al. Experiences using cloud computing for a scientific workflow application , 2011, ScienceCloud '11.
[10] Yannis E. Ioannidis,et al. Schedule optimization for data processing flows on the cloud , 2011, SIGMOD '11.
[11] Qian Zhu,et al. Power-Aware Consolidation of Scientific Workflows in Virtualized Environments , 2010, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.
[12] Jie Li,et al. Cloud auto-scaling with deadline and budget constraints , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.