Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing
暂无分享,去创建一个
[1] Brian Hayes,et al. What Is Cloud Computing? , 2019, Cloud Technologies.
[2] Seyed Mohammad Mirjalili,et al. Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.
[3] Laith Mohammad Abualigah,et al. A novel bat algorithm with dynamic membrane structure for optimization problems , 2020, Applied Intelligence.
[4] Keqin Li,et al. Efficient task scheduling for budget constrained parallel applications on heterogeneous cloud computing systems , 2017, Future Gener. Comput. Syst..
[5] Laith Abualigah,et al. Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications , 2020, Neural Computing and Applications.
[6] Cristian Mateos,et al. An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments , 2013, Adv. Eng. Softw..
[7] Laith Mohammad Abualigah,et al. Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering , 2017, The Journal of Supercomputing.
[8] Amir H. Gandomi,et al. The Arithmetic Optimization Algorithm , 2021, Computer Methods in Applied Mechanics and Engineering.
[9] Xingjun Zhang,et al. OKCM: improving parallel task scheduling in high-performance computing systems using online learning , 2020, The Journal of Supercomputing.
[10] Nima Jafari Navimipour,et al. Priority-based task scheduling on heterogeneous resources in the Expert Cloud , 2015, Kybernetes.
[11] S. P. Rajagopalan,et al. A hybrid multi-layer intrusion detection system in cloud , 2018, Cluster Computing.
[12] Ahmad M. Khasawneh,et al. Dragonfly algorithm: a comprehensive survey of its results, variants, and applications , 2021, Multimedia Tools and Applications.
[13] Ahmad M. Khasawneh,et al. A parallel hybrid krill herd algorithm for feature selection , 2020, Int. J. Mach. Learn. Cybern..
[14] Ajith Abraham,et al. Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications , 2020, Engineering with Computers.
[15] Laith Mohammad Abualigah,et al. Solving capacitated vehicle routing problem using cooperative firefly algorithm , 2021, Appl. Soft Comput..
[16] Rajkumar Buyya,et al. CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.
[17] Mohammad Ubaidullah Bokhari,et al. A Survey on Cloud Computing , 2018 .
[18] Mohit Kumar,et al. Deadline constrained based dynamic load balancing algorithm with elasticity in cloud environment , 2017, Comput. Electr. Eng..
[19] Najme Mansouri,et al. A CSO-based approach for secure data replication in cloud computing environment , 2020, The Journal of Supercomputing.
[20] G. Meera Gandhi,et al. Multiobjective Virtual Machine Selection for Task Scheduling in Cloud Computing , 2018, Computational Intelligence: Theories, Applications and Future Directions - Volume I.
[21] Yongquan Zhou,et al. An efficient binary Gradient-based optimizer for feature selection. , 2021, Mathematical biosciences and engineering : MBE.
[22] Salah Kamel,et al. Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks , 2021, Neural Computing and Applications.
[23] Mohammed A A Al-Qaness,et al. Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea , 2020, International journal of environmental research and public health.
[24] Laith Mohammad Abualigah,et al. Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering , 2018, Studies in Computational Intelligence.
[25] Laith Mohammad Abualigah,et al. A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm , 2021, Cluster Computing.
[26] Ali Diabat,et al. A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments , 2020, Cluster Computing.
[27] Dalia Yousri,et al. Aquila Optimizer: A novel meta-heuristic optimization algorithm , 2021, Comput. Ind. Eng..
[28] Jian Li,et al. Cost-efficient task scheduling for executing large programs in the cloud , 2013, Parallel Comput..
[29] David S. Linthicum,et al. Emerging Hybrid Cloud Patterns , 2016, IEEE Cloud Computing.
[30] Sumit Khurana,et al. Comparison of Cloud Computing Service Models: SaaS, PaaS, IaaS , 2013 .
[31] Ahmad M. Khasawneh,et al. TS-GWO: IoT Tasks Scheduling in Cloud Computing Using Grey Wolf Optimizer , 2020 .
[32] Jing Yao,et al. Cloud-DLS: Dynamic trusted scheduling for Cloud computing , 2012, Expert Syst. Appl..
[33] Laith Abualigah,et al. Advances in Sine Cosine Algorithm: A comprehensive survey , 2021, Artif. Intell. Rev..
[34] Laith Mohammad Abualigah,et al. APPLYING GENETIC ALGORITHMS TO INFORMATION RETRIEVAL USING VECTOR SPACE MODEL , 2015 .
[35] Rasim M. Alguliyev,et al. PSO-based Load Balancing Method in Cloud Computing , 2019, Automatic Control and Computer Sciences.
[36] Ali Diabat,et al. A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications , 2020, Applied Sciences.
[37] Laith Abualigah,et al. Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks , 2020, Journal of Ambient Intelligence and Humanized Computing.
[38] Remco Boksebeld,et al. The Impact of Cloud Computing on Enterprise Architecture and Project Success , 2010 .
[39] Mohamed Othman,et al. A priority based job scheduling algorithm in cloud computing , 2012 .
[40] Jean Pepe Buanga Mapetu,et al. A dynamic VM consolidation approach based on load balancing using Pearson correlation in cloud computing , 2020, The Journal of Supercomputing.
[41] Karnam Sreenu,et al. W-Scheduler: whale optimization for task scheduling in cloud computing , 2017, Cluster Computing.
[42] George Pallis,et al. Cloud Computing: The New Frontier of Internet Computing , 2010, IEEE Internet Computing.
[43] Ali Diabat,et al. A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications , 2020, Neural Computing and Applications.
[44] Albert Y. Zomaya,et al. Cost efficient scheduling of MapReduce applications on public clouds , 2017, J. Comput. Sci..
[45] Richard O. Sinnott,et al. Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka , 2018, Future Gener. Comput. Syst..
[46] Mohammad Alshinwan,et al. Moth–flame optimization algorithm: variants and applications , 2019, Neural Computing and Applications.
[47] MengChu Zhou,et al. Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds , 2020, IEEE Transactions on Automation Science and Engineering.
[48] Özlem Batur Dinler,et al. Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features , 2021, Applied Intelligence.