Genetic-variable neighborhood search with thread replication for mobile cloud computing

References

• E. Ahmed, A. Gani, M.K. Khan, R. Buyya, and S.U. Khan, Seamless application execution in mobile cloud computing: Motivation, taxonomy, and open challenges, J. Netw. Comput. Appl. 52 (2015), pp. 154–172.10.1016/j.jnca.2015.03.001
   Web of Science ®Google Scholar
• E. Ahmed, A. Gani, M. Sookhak, S.H. Ab Hamid, and F. Xia, Application optimization in mobile cloud computing: Motivation, taxonomies, and open challenges, J. Netw. Comput. Appl. 52 (2015), pp. 52–68.10.1016/j.jnca.2015.02.003
   Web of Science ®Google Scholar
• E. Ahmed, A. Akhunzada, M. Whaiduzzaman, A. Gani, S.H. Ab Hamid, and R. Buyya, Network-centric performance analysis of runtime application migration in mobile cloud computing, Simul. Modell. Pract. Theor. 50 (2015), pp. 42–56.10.1016/j.simpat.2014.07.001
   Web of Science ®Google Scholar
• N. Aminzadeh, Z. Sanaei, and S.H. Ab Hamid, Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues, Simul. Modell. Pract. Theo. 50 (2015), pp. 96–108.10.1016/j.simpat.2014.05.009
   Web of Science ®Google Scholar
• J. Behnamian, M. Zandieh, and S.M.T. Fatemi Ghomi, Parallel-machine scheduling problems with sequence-dependent setup times using an ACO, SA and variable neighborhood search hybrid algorithm, Expert Syst. Appl. 36 (2009), pp. 9637–9644.10.1016/j.eswa.2008.10.007
   Web of Science ®Google Scholar
• M.R. Bonyadi and M.E. Moghaddam, A bipartite genetic algorithm for multi-processor thread scheduling, Int. J. Parallel Program. 37 (2009), pp. 462–487.
   Web of Science ®Google Scholar
• T. Davidović, P. Hansen, and N. Mladenović, Permutation-based genetic, tabu, and variable neighborhood search heuristics for multiprocessor scheduling with communication delays, Asia-Pac. J. Oper. Res. 22 (2005), pp. 297–326.10.1142/S021759590500056X
   Web of Science ®Google Scholar
• A.V. Kalashnikov and V.A. Kostenko, A parallel algorithm of simulated annealing for multiprocessor scheduling, J. Comput. Syst. Sci. Int. 47 (2008), pp. 455–463.10.1134/S1064230708030155
   Web of Science ®Google Scholar
• N. Krasnogor and J. Smith, A tutorial for competent memetic algorithms: Model, taxonomy, and design issues, Evol. Comput. IEEE Trans. 9 (2005), pp. 474–488.10.1109/TEVC.2005.850260
   Web of Science ®Google Scholar
• J. Liu, E. Ahmed, M. Shiraz, A. Gani, R. Buyya, and A. Qureshi, Application partitioning algorithms in mobile cloud computing: Taxonomy, review and future directions, J. Netw. Comput. Appl. 48 (2015), pp. 99–117.10.1016/j.jnca.2014.09.009
   Web of Science ®Google Scholar
• R. Matos, J. Araujo, D. Oliveira, P. Maciel, and K. Trivedi, Sensitivity analysis of a hierarchical model of mobile cloud computing, Simul. Modell. Pract. Theor. 50 (2015), pp. 151–164.10.1016/j.simpat.2014.04.003
   Web of Science ®Google Scholar
• F.A. Omara and M.M. Arafa, Genetic algorithms for thread scheduling problem, J. Parallel Distrib. Comput. 70 (2010), pp. 13–22.10.1016/j.jpdc.2009.09.009
   Web of Science ®Google Scholar
• A. Omidi and A.M. Rahmani, Multiprocessor independent threads scheduling using a novel heuristic PSO algorithm, in Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference, IEEE, 2009, pp. 369–373.
   Google Scholar
• A. Singh, M. Sevaux, and A. Rossi, A hybrid grouping genetic algorithm for multiprocessor scheduling, in Contemporary Computing, Noida: Springer Berlin Heidelberg, 2009, pp. 1–7.
   Google Scholar
• H. Topcuoglu, S. Hariri, and M.-y. Wu, Performance-effective and low-complexity thread scheduling for heterogeneous computing, IEEE Trans. Parallel Distrib. Syst. 13 (2002), pp. 260–274.10.1109/71.993206
   Web of Science ®Google Scholar
• A. Tumeo, C. Pilato, F. Ferrandi, D. Sciuto, and P.L. Lanzi, Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systems, International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2008, IEEE, 2008, pp. 142–149.
   Google Scholar
• Y. Wen, H. Xu, and J. Yang, A heuristic-based hybrid genetic algorithm for heterogeneous multiprocessor scheduling, GECCO ‘10 Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, 2010, pp. 729–736.
   Google Scholar
• Y. Wen, H. Xu, and J. Yang, A heuristic-based hybrid genetic-variable neighborhood search algorithm for thread scheduling in heterogeneous multiprocessor system, Inf. Sci. 181 (2011), pp. 567–581.10.1016/j.ins.2010.10.001
   Web of Science ®Google Scholar
• H. Yu, Optimizing thread schedules using an artificial immune system approach, Proceedings of the 10th annual conference on Genetic and evolutionary computation, ACM, 2008. pp. 151–158.
   Google Scholar
• W. Zhang, Y. Wen, and H.-H. Chen, Toward transcoding as a service: Energy-efficient offloading policy for green mobile cloud, Netw. IEEE 28 (2014), pp. 67–73.10.1109/MNET.2014.6963807
   Web of Science ®Google Scholar