A Load Balancing Algorithm for Resource Allocation in Cloud Computing
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Annamária R. Várkonyi-Kóczy | Amir Mosavi | Seyedmajid Mousavi | A. Várkonyi-Kóczy | A. Mosavi | S. Mousavi
[1] Amir Mosavi. The Large Scale System of Multiple Criteria Decision Making; Pre-***processing , 2010 .
[2] Bo Cheng. Hierarchical Cloud Service Workflow Scheduling Optimization Schema Using Heuristic Generic Algorithmg , 2012 .
[3] M. H. Sulaiman,et al. Grey Wolf Optimizer for solving economic dispatch problems , 2014, 2014 IEEE International Conference on Power and Energy (PECon).
[4] R. Venkata Rao,et al. Teaching–Learning-based Optimization Algorithm , 2016 .
[5] Dan Simon,et al. Biogeography-Based Optimization , 2022 .
[6] Leandro dos Santos Coelho,et al. Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization , 2016, Expert Syst. Appl..
[7] Qi Chen,et al. The Local Optimum in Topology Optimization of Compliant Mechanisms , 2016 .
[8] Gábor Fazekas,et al. Dynamic Resource Allocation in Cloud Computing , 2017, Acta Polytechnica Hungarica.
[9] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[10] Dimitris Bertsimas,et al. Dynamic resource allocation: A flexible and tractable modeling framework , 2014, Eur. J. Oper. Res..
[11] Fumiaki Mitsugi,et al. Rozwój metody sterylizacji gleby za pomoca{ogonek} ozonu i wskazanie jej biomedycznych zastosowań , 2012 .
[12] N. Malarvizhi,et al. Hierarchical load balancing scheme for computational intensive jobs in Grid computing environment , 2009, 2009 First International Conference on Advanced Computing.
[13] Timon Rabczuk,et al. Learning and Intelligent Optimization for Material Design Innovation , 2017, LION.
[14] Homayun Motameni,et al. Task scheduling using NSGA II with fuzzy adaptive operators for computational grids , 2014, J. Parallel Distributed Comput..
[15] Amir Mosavi,et al. Application of data mining in multiobjective optimization problems , 2014 .
[16] L. D. Dhinesh Babu,et al. Honey bee behavior inspired load balancing of tasks in cloud computing environments , 2013, Appl. Soft Comput..
[17] Xin-She Yang,et al. A literature survey of benchmark functions for global optimisation problems , 2013, Int. J. Math. Model. Numer. Optimisation.
[18] Urtzi Ayesta,et al. Optimal dynamic resource allocation to prevent defaults , 2016, Oper. Res. Lett..
[19] Amir Mosavi,et al. Learning in Robotics , 2017 .
[20] Yahya Slimani,et al. Task Load Balancing Strategy for Grid Computing , 2007 .