Systematic Mapping Study on Performance Scalability in Big Data on Cloud Using VM and Container
暂无分享,去创建一个
[1] Miika Komu,et al. Hypervisors vs. Lightweight Virtualization: A Performance Comparison , 2015, 2015 IEEE International Conference on Cloud Engineering.
[2] Xiaohong Jiang,et al. Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration , 2014, 2014 IEEE 7th International Conference on Cloud Computing.
[3] Ramakrishnan Rajamony,et al. An updated performance comparison of virtual machines and Linux containers , 2015, 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).
[4] Verena Kantere,et al. I/O Performance Modeling for Big Data Applications over Cloud Infrastructures , 2015, 2015 IEEE International Conference on Cloud Engineering.
[5] Yang Yang,et al. Impacts of Virtualization Technologies on Hadoop , 2013, 2013 Third International Conference on Intelligent System Design and Engineering Applications.
[6] Kai Petersen,et al. Guidelines for conducting systematic mapping studies in software engineering: An update , 2015, Inf. Softw. Technol..
[7] N. B. Anuar,et al. The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..
[8] Pedro Roger Magalhães Vasconcelos,et al. Performance analysis of Hadoop MapReduce on an OpenNebula cloud with KVM and OpenVZ virtualizations , 2014, The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014).