Performance analysis of Bayesian coalition game-based energy-aware virtual machine migration in vehicular mobile cloud

IEEE Network

Volumn 29, Issue 2, 2015, Pages 62-69

  Kumar, Neeraj ^a   Zeadally, Sherali ^b   Chilamkurti, Naveen ^c   Vinel, Alexey ^d  

^a THAPAR UNIVERSITY   (India)

^b UNIVERSITY OF KENTUCKY   (United States)

^c LA TROBE UNIVERSITY   (Australia)

^d HALMSTAD UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; ENERGY UTILIZATION; MOBILE CLOUD COMPUTING; MOBILE DEVICES; STOCHASTIC SYSTEMS;

COMMUNICATION SERVICE; LEARNING AUTOMATON; PERFORMANCE ANALYSIS; PERFORMANCE DEGRADATION; PERFORMANCE EVALUATION METRICS; PERFORMANCE METRICS; STOCHASTIC ENVIRONMENT; VIRTUAL MACHINE MIGRATIONS;

GAME THEORY;

EID: 84926651751     PISSN: 08908044     EISSN: None     Source Type: Journal    
DOI: 10.1109/MNET.2015.7064905     Document Type: Article

References (15)

1. E. Lee, E. K. Lee, and M. Gerla, "Vehicular Cloud Networking: Architecture and Design Principles," IEEE Commun. Mag., vol. 52, no. 2, 2014, pp. 148-55.
2. K. Mershad and H. Artail, "Finding a STAR in a Vehicular Cloud," IEEE Intell. Transportation Syst. Mag., vol. 5, no. 2, 2013, pp. 55-68.
3. H. Liang et al., "An SMDP-Based Service Model for Interdomain Resource Allocation in Mobile Cloud Networks," IEEE Trans. Veh. Technol., vol. 61, no.5, 2012, pp. 2222-32.
4. B. Guan et al., "CIVSched: A Communication-Aware Inter-VM Scheduling Technique for Decreased Network Latency between Co-Located VMs," IEEE Trans. Cloud Computing, 2014, DOI:10.1109/TCC.2014.2328582.
5. N. Kumar and J. Kim, "ELACCA: Efficient Learning Automata Based Cell Clustering Algorithm for Wireless Sensor Networks," Wireless Personal Commun., vol. 73, no.4, 2013, pp. 1495-1512.
6. N. Kumar, N. Chilamkurti, and J. P. C. Rodrigues, "Learning Automata-Based Opportunistic Data Aggregation and Forwarding Scheme for Alert Generation in Vehicular Ad Hoc Networks," Computer Commun., vol. 59, no. 1, 2014, pp. 22-32.
7. N. Kumar and N. Chilamkurti, "Collaborative Trust Aware Intelligent Intrusion Detection in VANETs," Computers and Electrical Engineering, vol. 40, no. 6, 2014, pp. 1981-96.
8. N. Kumar, S. Misra, and M. S. Obaidat, "Collaborative Learning Automata-Based Routing for Rescue Operations in Dense Urban Regions Using Vehicular Sensor Networks," IEEE Syst. J., 2014, DOI:10.1109/JSYST.2014.2335451.
9. P. V. Krishna et al., "Virtual Backoff Algorithm: An Enhancement to 802.11 Medium-Access Control to Improve the Performance of Wireless Networks," IEEE Trans. Veh. Technol., vol. 59, no. 3, 2010, pp. 1068-75.
10. S. Misra et al., "Random Early Detection for Congestion Avoidance in Wired Networks: A Decentralized Pursuit Learning Automata Like Solution," IEEE Trans. System Man Cybern., vol. 40, no. 1, 2010, pp. 66-76.
11. L. Song et al., "Game Theoretic Resource Allocation Mathods for Device-to-Device Communication," IEEE Wireless Commun., vol. 21, no. 3, 2014, pp. 136-44.
12. N. Kumar, J. H. Lee, and J. J. P. C. Rodrigues, "Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: Learning Automata Approach," IEEE Trans. Intell. Transportation Syst., 2014, DOI: 10.1109/TITS.2014.2354372.
13. N. Kumar et al., "Bayesian Coalition Game for Contention-Aware Reliable Data Forwarding in Vehicular Mobile Cloud," Future Generation Computer Systems, 2014, DOI:10.1016/j.future.2014.10.013.
14. N. Kumar, N. Chilamkurti, and J. H. Park, "ALCA: Agent Learning-Based Clustering Algorithm in Vehicular Ad Hoc Networks," Personal and Ubiquitous Computing, vol. 17, no.8, 2013, pp. 1683-92.
15. sumo-sim.org/userdoc/Tutorials.