Research on improved 2D-BPSO-based VM-container hybrid hierarchical cloud resource scheduling mechanism

Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016

Volumn , Issue , 2017, Pages 754-759

  Fan, Chunxiao ^a   Wang, Yeqiao ^a   Wen, Zhigang ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Cloud computing; Container; Particle swarm optimization; Resource scheduling

Indexed keywords

BIG DATA; BINS; CLOUD COMPUTING; COMPUTER PRIVACY; CONTAINERS; EFFICIENCY; ITERATIVE METHODS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PROBLEM SOLVING; SCHEDULING; SOCIAL SCIENCES COMPUTING;

CLOUD COMPUTING PLATFORMS; CLOUD RESOURCE SCHEDULING; COMBINATION OPTIMIZATION; HIERARCHICAL RESOURCE; OPTIMIZATION PROBLEMS; RESOURCE UTILIZATIONS; RESOURCE-SCHEDULING; SCHEDULING STRATEGIES;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 85017283953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2016.38     Document Type: Conference Paper

References (12)

1. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, et al., "Above the Clouds: A Berkeley View of Cloud Computing," EECS Department, University of California, Berkeley UCB/EECS-2009-28, February 10 2009.
2. C. Pahl, "Containerization and the PaaS Cloud," IEEE Cloud Computing, vol. 2, 2015, pp. 24-31, doi: 10.1109/MCC.2015.51.
3. J. Monsalve, A. Landwehr, and M. Taufer, "Dynamic CPU Resource Allocation in Containerized Cloud Environments," Cluster Computing (CLUSTER), 2015 IEEE International Conference on, IEEE Press, 2015, pp. 535-536, doi: 10.1109/CLUSTER.2015.99.
4. Z. Huang, B. Balasubramanian, M. Wang, T. Lan, M. Chiang, and D. H. K. Tsang, "Need for speed: CORA scheduler for optimizing completiontimes in the cloud," Computer Communications (INFOCOM), 2015 IEEE Conference on, IEEE Press, 2015, pp. 891-899, doi: 10.1109/INFOCOM.2015.7218460.
5. D. Zhao, N. Mandagere, G. Alatorre, M. Mohamed, and H. Ludwig, "Toward locality-aware scheduling for containerized cloud services," Big Data (Big Data), 2015 IEEE International Conference on, IEEE Press, 2015, pp. 263-270, doi: 10.1109/BigData.2015.7363763.
6. S. F. Piraghaj, A. V. Dastjerdi, R. N. Calheiros, and R. Buyya, "A Framework and Algorithm for Energy Efficient Container Consolidation in Cloud Data Centers," Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on, IEEE Press, 2015, pp. 368-375, doi: 10.1109/DSDIS.2015.67.
7. X. Xu, H. Yu, and X. Pei, "A Novel Resource Scheduling Approach in Container Based Clouds," Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on, IEEE Press, 2014, pp. 257-264, doi: 10.1109/CSE.2014.77.
8. W. Guo, J. Li, G. Chen, Y. Niu, and C. Chen, "A PSO-Optimized Real-Time Fault-Tolerant Task Allocation Algorithm in Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 26, 2015,pp. 3236-3249, doi: 10.1109/TPDS.2014.2386343.
9. Z. Zhu, G. Zhang, M. Li, and X. Liu, "Evolutionary Multi-Objective Workflow Scheduling in Cloud," IEEE Transactions on Parallel and Distributed Systems, vol. 27, 2016, pp. 1344-1357, doi: 10.1109/TPDS.2015.2446459.
10. M. Seddigh, H. Taheri, and S. Sharifian, "Dynamic prediction scheduling for virtual machine placement via ant colony optimization," Signal Processing and Intelligent Systems Conference (SPIS) 2015, IEEE Press, 2015, pp. 104-108, doi: 10.1109/SPIS.2015.7422321.
11. L. Zuo, L. Shu, S. Dong, C. Zhu, and T. Hara, "A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing," IEEE Access, Big Data Services and Computational Intelligence for Industrial Systems, vol. 3, 2015,pp. 2687-2699, doi: 10.1109/ACCESS.2015.2508940.
12. M. Seddigh, H. Taheri, and S. Sharifian, "Dynamic prediction scheduling for virtual machine placement via ant colony optimization," Signal Processing and Intelligent Systems Conference (SPIS), 2015, IEEE Press, 2015, pp. 104-108, doi: 10.1109/SPIS.2015.7422321