An intelligent and adaptive threshold-based schema for energy and performance efficient dynamic VM consolidation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8046 LNCS, Issue , 2013, Pages 85-97

  Masoumzadeh, Seyed Saeid ^a   Hlavacs, Helmut ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Dynamic VM consolidation; Fuzzy Q learning; Green cloud

Indexed keywords

CLOUD DATA CENTERS; DYNAMIC CHARACTERISTICS; DYNAMIC CONTROLS; FUZZY-Q-LEARNING; GREEN CLOUDS; STATE-OF-THE-ART ALGORITHMS; TRADEOFF OPTIMIZATIONS; VM PLACEMENTS;

ALGORITHMS; ENERGY EFFICIENCY; OPTIMIZATION;

LOADING;

EID: 84885735934     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40517-4_8     Document Type: Conference Paper

References (12)

1. Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurr. Comput. Pract. Experience 24(13), 1-24 (2011)
2. Naeeni, A. F.: Advanced multi-agent fuzzy reinforcement learning. Dalarna University, Dalarna (2004)
3. Juang, C.: Combination of online clustering and Q-value based GA for reinforcement fuzzy system design. IEEE Trans. Fuzzy Syst. 13(3), 289-302 (2005)
4. Hlavacs, H., Treutner, T.: Genetic algorithms for energy efficient virtualized data centers. In: 8th International Conference on Network and Service Management (CNSM 2012), pp. 422-429 (2012)
5. Gmach, D., Rolia, J., Cherkasova, L., Belrose, G., Turicchi, T., Kemper, A.: An integrated approach to resource pool management: policies, efficiency and quality metrics. In: 2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN), pp. 326-335 (2008)
6. Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Gener. Comput. Syst. 28(5), 755-768 (2012)
7. Beloglazov, A., Buyya, R., Member, S.: Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints. IEEE Trans. Parallel Distrib. Syst. 99, 1-14 (2012)
8. Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement learning : a survey. J. Artif. Intell. Res. 4, 237-285 (1996)
9. Jouffe, L.: Fuzzy inference system learning by reinforcement methods. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 28(3), 338-355 (1998)
10. Yang, M.-S.: A survey of fuzzy clustering. Math. Comput. Model 18(11), 1-16 (1993)
11. Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Experience 41(1), 23-50 (2011)
12. Park, K., Pai, V.S.: CoMon: a mostly-scalable monitoring system for PlanetLab. ACM SIGOPS Oper. Syst. Rev. 40(1), 65 (2006)