Priority-based task scheduling on heterogeneous resources in the Expert Cloud

Kybernetes

Volumn 44, Issue 10, 2015, Pages 1455-1471

  Ashouraie, Mehran ^a   Jafari Navimipour, Nima ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Information systems; Knowledge management; Networking; Optimization techniques; Social networks; Telecommunications

Indexed keywords

EID: 84946560535     PISSN: 0368492X     EISSN: None     Source Type: Journal    
DOI: 10.1108/K-12-2014-0293     Document Type: Article

References (30)

1. Abdoun, O., Abouchabaka, J. and Tajani, C. (2012), “Analyzing the performance of mutation operators to solve the travelling salesman problem”, International Journal of Emerging Sciences, Vol. 2 No. 1, pp. 61-77.
2. Abrishami, S. and Naghibzadeh, M. (2012), “Deadline-constrained workflow scheduling in software as a service cloud”, Scientia Iranica, Vol. 19 No. 3, pp. 680-689.
3. Anselmi, J., Ardagna, D. and Passacantando, M. (2014), “Generalized nash equilibria for SaaS/PaaS clouds”, European Journal of Operational Research, Vol. 236 No. 1, pp. 326-339.
4. Aravind, A.A. (2013), “Simple, space-efficient, and fairness improved FCFS mutual exclusion algorithms”, Journal of Parallel and Distributed Computing, Vol. 73 No. 8, pp. 1029-1038.
5. Diaz-Gomez, P.A. and Hougen, D.F. (2007), “Initial population for genetic algorithms: a metric approach”, International Conference on Genetic and Evolutionary Methods, Las Vegas, NV, pp. 43-49.
6. Ghanbari, S. and Othman, M. (2012), “A priority based job scheduling algorithm in cloud computing”, Procedia Engineering, Vol. 50 No. 1, pp. 778-785.
7. Jafari Navimipour, N. (2015), “A formal approach for the specification and verification of a trustworthy human resource discovery mechanism in the expert cloud”, Expert Systems with Applications, Vol. 42 No. 15, pp. 6112-6131.
8. Jafari Navimipour, N. and Mohammad Khanli, L. (2008), “The LGR method for task scheduling in computational grid”, Advanced Computer Theory and Engineering, ICACTE, International Conference, IEEE, pp. 1062-1066.
9. Jafari Navimipour, N. and Sharifi Milani, F. (2014), “A comprehensive study of the resource discovery techniques in peer-to-peer networks”, Peer-to-Peer Networking and Applications, Vol. 8 No. 3, pp. 1-19.
10. Jafari Navimipour, N. and Sharifi Milani, F. (2015), “Task scheduling in the cloud computing based on the cuckoo search algorithm”, International Journal of Modeling and Optimization, Vol. 5 No. 1, pp. 244-247.
11. Jafari Navimipour, N., Navin, A.H., Rahmani, A. and Hosseinzadeh, M. (2014), “Job scheduling in the expert cloud based on genetic algorithms”, Kybernetes, Vol. 43 No. 8, pp. 1262-1275.
12. Jafari Navimipour, N., Navin, A.H., Rahmani, A.M. and Hosseinzadeh, M. (2015a), “Behavioral modeling and automated verification of a cloud-based framework to share the knowledge and skills of human resources”, Computers in Industry, Vol. 68 No. 1, pp. 65-77.
13. Jafari Navimipour, N., Rahmani, A.M., Navin, A.H. and Hosseinzadeh, M. (2015b), “Expert cloud: a cloud-based framework to share the knowledge and skills of human resources”, Computers in Human Behavior, Vol. 46 No. 1, pp. 57-74.
14. Lipowski, A. and Lipowska, D. (2012), “Roulette-wheel selection via stochastic acceptance”, Physica A: Statistical Mechanics and its Applications, Vol. 391 No. 391, pp. 2193-2196.
15. Manvi, S.S. and Krishna Shyam, G. (2014), “Resource management for infrastructure as a service (IaaS) in cloud computing: a survey”, Journal of Network and Computer Applications, Vol. 41 No. 1, pp. 424-440.
16. Mateos, C., Pacini, E. and Garino, C.G. (2013), “An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments”, Advances in Engineering Software, Vol. 56 No. 1, pp. 38-50.
17. Mokhtari, H. (2015), “A nature inspired intelligent water drops evolutionary algorithm for parallel processor scheduling with rejection”, Applied Soft Computing, Vol. 26 No. 1, pp. 166-179.
18. Musikapun, P. and Pongcharoen, P. (2012), “Solving multi-stage multi-machine multi-product scheduling problem using bat algorithm”, 2nd International Conference on Management and Artificial Intelligence, pp. 98-102.
19. Navin, A.H., Jafari Navimipour, N., Rahmani, A.M. and Hosseinzadeh, M. (2014), “Expert grid: new type of grid to manage the human resources and study the effectiveness of its task scheduler”, Arabian Journal for Science and Engineering, Vol. 39 No. 8, pp. 6175-6188.
20. Su, S., Li, J., Huang, Q., Huang, X., Shuang, K. and Wang, J. (2013), “Cost-efficient task scheduling for executing large programs in the cloud”, Parallel Computing, Vol. 39 No. 4, pp. 177-188.
21. Sun, B., Wang, W., Xie, X. and Qin, Q. (2010), “Satellite mission scheduling based on genetic algorithm”, Kybernetes, Vol. 39 No. 8, pp. 1255-1261.
22. Tawfeek, M.A., El-Sisi, A., Keshk, A.E. and Torkey, F.A. (2013), “Cloud task scheduling based on ant colony optimization”, Computer Engineering & Systems (ICCES), 8th International Conference, IEEE, pp. 64-69.
23. Wang, W., Zeng, G., Tang, D. and Yao, J. (2012), “Cloud-DLS: dynamic trusted scheduling for cloud computing”, Expert Systems with Applications, Vol. 39 No. 3, pp. 2321-2329.
24. Wang, X., Yeo, C.S., Buyya, R. and Su, J. (2011), “Optimizing the makespan and reliability for workflow applications with reputation and a look-ahead genetic algorithm”, Future Generation Computer Systems, Vol. 27 No. 8, pp. 1124-1134.
25. Wickboldt, J.A., Esteves, R.P., De Carvalho, M.B. and Granville, L.Z. (2014), “Resource management in IaaS cloud platforms made flexible through programmability”, Computer Networks, Vol. 68 No. 1, pp. 54-70.
26. Wu, L., Kumar Garg, S. and Buyya, R. (2012), “SLA-based admission control for a software-as-a-service provider in cloud computing environments”, Journal of Computer and System Sciences, Vol. 78 No. 5, pp. 1280-1299.
27. Xu, Y., Li, K., Hu, J. and Li, K. (2014), “A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues”, Information Sciences, Vol. 270 No. 1, pp. 255-287.
28. Yigit, M., Gungor, V.C. and Baktir, S. (2014), “Cloud computing for smart grid applications”, Computer Networks, Vol. 70 No. 1, pp. 312-329.
29. Yildiz, A.R. (2013), “Cuckoo search algorithm for the selection of optimal machining parameters in milling operations”, The International Journal of Advanced Manufacturing Technology, Vol. 64 Nos 1-4, pp. 55-61.
30. Zheng, L., Chen, S., Hu, Y. and He, J. (2011), “Applications of cloud computing in the smart grid”, Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2nd International Conference, IEEE, pp. 203-206.