Multi‐objective task scheduling in cloud computing
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[1] Ali Asghar Rahmani Hosseinabadi,et al. Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing , 2021, Neural Computing and Applications.
[2] Ponnuthurai N. Suganthan,et al. Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends , 2021, Swarm Evol. Comput..
[3] Ravi Shankar Singh,et al. Energy Efficient and Reliability Aware Workflow Task Scheduling in Cloud Environment , 2021, Wireless Personal Communications.
[4] Amardeep Das,et al. A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment , 2021, J. King Saud Univ. Comput. Inf. Sci..
[5] Narander Kumar,et al. An optimal SLA based task scheduling aid of hybrid fuzzy TOPSIS-PSO algorithm in cloud environment , 2020 .
[6] L. Shyamala,et al. TOPSIS inspired Budget and Deadline Aware Multi-Workflow Scheduling for Cloud computing , 2020, J. Syst. Archit..
[7] Mainak Adhikari,et al. Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach , 2020, Appl. Soft Comput..
[8] Jinchao Chen,et al. Cost and makespan scheduling of workflows in clouds using list multiobjective optimization technique , 2020, J. Syst. Archit..
[9] Milan Tuba,et al. Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm , 2020, J. Intell. Fuzzy Syst..
[10] Ali Diabat,et al. A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments , 2020, Cluster Computing.
[11] Imtiaz Ahmad,et al. Optimizing scheduling decisions of container management tool using many‐objective genetic algorithm , 2020, Concurr. Comput. Pract. Exp..
[12] Bo Yang,et al. An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing , 2020, Appl. Soft Comput..
[13] Mourad Hakem,et al. Load balancing in cloud computing environments based on adaptive starvation threshold , 2020, Concurr. Comput. Pract. Exp..
[14] M. Selvam,et al. A new whale optimizer for workflow scheduling in cloud computing environment , 2020, J. Ambient Intell. Humaniz. Comput..
[15] Ritu Garg,et al. Reliability and energy efficient workflow scheduling in cloud environment , 2019, Cluster Computing.
[16] Nipur Singh,et al. Dynamic heterogeneous shortest job first (DHSJF): a task scheduling approach for heterogeneous cloud computing systems , 2019 .
[17] T. Prem Jacob,et al. A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization , 2019, Wirel. Pers. Commun..
[18] Mohit Kumar,et al. A comprehensive survey for scheduling techniques in cloud computing , 2019, J. Netw. Comput. Appl..
[19] Jin Sun,et al. Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT , 2019, Future Gener. Comput. Syst..
[20] Francine Krief,et al. A Pareto optimal multi-objective optimisation for parallel dynamic programming algorithm applied in cognitive radio ad hoc networks , 2019, Int. J. Comput. Appl. Technol..
[21] Tarek Menouer,et al. New Scheduling Strategy Based on Multi-Criteria Decision Algorithm , 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
[22] Kamal Z. Zamli,et al. An adaptive flower pollination algorithm for software test suite minimization , 2017, 2017 3rd International Conference on Electrical Information and Communication Technology (EICT).
[23] Xin-She Yang,et al. Cuckoo search: State-of-the-art and opportunities , 2017, 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI).
[24] Albert Y. Zomaya,et al. PSO-DS: a scheduling engine for scientific workflow managers , 2017, The Journal of Supercomputing.
[25] Prasanta K. Jana,et al. A Flower Pollination Algorithm Based Task Scheduling in Cloud Computing , 2017, CICBA.
[26] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[27] Mohammed Atiquzzaman,et al. h-DDSS: Heterogeneous Dynamic Dedicated servers scheduling in cloud computing , 2014, 2014 IEEE International Conference on Communications (ICC).
[28] R. Vijayalakshmi,et al. A novel approach for task scheduling in cloud , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).
[29] A. Girault,et al. Tradeoff exploration between reliability, power consumption, and execution time for embedded systems , 2013, International Journal on Software Tools for Technology Transfer.
[30] Xin-She Yang,et al. Flower Pollination Algorithm for Global Optimization , 2012, UCNC.
[31] Jian Li,et al. Enhanced Energy-Efficient Scheduling for Parallel Applications in Cloud , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).
[32] Emmanuel Jeannot,et al. Optimizing performance and reliability on heterogeneous parallel systems: Approximation algorithms and heuristics , 2012, J. Parallel Distributed Comput..
[33] Rajkumar Buyya,et al. Optimizing the makespan and reliability for workflow applications with reputation and a look-ahead genetic algorithm , 2011, Future Gener. Comput. Syst..
[34] Yves Robert,et al. Multi-criteria Scheduling of Precedence Task Graphs on Heterogeneous Platforms , 2010, Comput. J..
[35] Qun Jin,et al. A Context-Aware Framework for Flowable Services , 2009, 2009 Third International Conference on Multimedia and Ubiquitous Engineering.
[36] Rajkumar Buyya,et al. CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services , 2009, ArXiv.
[37] Kobra Etminani,et al. A Min-Min Max-Min Selective Algorithm for Grid Task Scheduling , 2007, 2007 3rd IEEE/IFIP International Conference in Central Asia on Internet.
[38] Arvin Agah,et al. Cognitive engine implementation for wireless multicarrier transceivers , 2007, Wirel. Commun. Mob. Comput..
[39] I. Pavlyukevich. Lévy flights, non-local search and simulated annealing , 2007, J. Comput. Phys..
[40] Gregor von Laszewski,et al. QoS guided Min-Min heuristic for grid task scheduling , 2003, Journal of Computer Science and Technology.
[41] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[42] Salim Hariri,et al. Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing , 2002, IEEE Trans. Parallel Distributed Syst..
[43] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[44] Vipul A. Shah,et al. Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults , 2021, Int. J. Intell. Comput. Cybern..
[45] Navpreet Kaur Walia,et al. An Energy-Efficient Hybrid Scheduling Algorithm for Task Scheduling in the Cloud Computing Environments , 2021, IEEE Access.
[46] Gebrail Bekdaş,et al. Novel metaheuristic-based tuning of PID controllers for seismic structures and verification of robustness , 2021 .
[47] Ahamad Tajudin Khader,et al. EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods , 2020, IEEE Access.
[48] Nebojsa Bacanin,et al. Enhanced Flower Pollination Algorithm for Task Scheduling in Cloud Computing Environment , 2020 .
[49] Muhammad Tahir,et al. A Hybrid Algorithm for Scheduling Scientific Workflows in Cloud Computing , 2019, IEEE Access.
[50] Ahmad M. Manasrah,et al. Workflow Scheduling Using Hybrid GA-PSO Algorithm in Cloud Computing , 2018, Wirel. Commun. Mob. Comput..
[51] Mohammad Masdari,et al. A Survey of PSO-Based Scheduling Algorithms in Cloud Computing , 2016, Journal of Network and Systems Management.
[52] Parag Ravikant Kaveri,et al. Load Balancing On Cloud Data Centres , 2013 .
[53] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[54] Ching-Lai Hwang,et al. Methods for Multiple Attribute Decision Making , 1981 .