- Chauhan, S., Pilli, E., Joshi, R., and Singh, G., "Govil, M.C. Brokering in Interconnected Cloud Computing Environments: A Survey", J Parallel Distrib Comput, Vol .133, pp. 193–209, doi:10.1016/j.jpdc.2018.08.001, 2019.
- Qiu, X., Sun, P., and Dai, Y., "Optimal Task Replication Considering Reliability, Performance, and Energy Consumption for Parallel Computing in Cloud Systems", Reliab Eng Syst Saf, 215, 107834, doi:10.1016/J.RESS.2021.107834, 2021.
- Shojaiemehr, B., Rahmani, A., Qader, N., "Cloud Computing Service Negotiation: A Systematic Review", Comput Stand Interfaces, 55, pp. 196–206, doi:10.1016/j.csi.2017.08.006, 2018.
- Huang, K., and Li, D., "MRMS: A MOEA-Based Replication Management Scheme for Cloud Storage System", International Conference on Communications in China, 2016.
- Moura, D., and Hutchison, D., "Review and Analysis of Networking Challenges in Cloud Computing", Journal of Network and Computer Applications, 60, pp. 113–129, doi:10.1016/j.jnca.2015.11.015, 2016.
- Aznoli, F., and Navimipour, N., "Cloud Services Recommendation: Reviewing the Recent Advances and Suggesting the Future Research Directions", Journal of Network and Computer Applications, 2017.
- Slimani, S., Hamrouni, T., Charrada, F., "Service-Oriented Replication Strategies for Improving Quality-of-Service in Cloud Computing: A Survey", Cluster Comput, 24, pp. 361–392, doi:10.1007/S10586-020-03108-Z/METRICS, 2021.
- Bello, S., Oyedele, L., Akinade, O., Bilal, M., Davila Delgado, J., Akanbi, L., Ajayi, A., and Owolabi, H., "Cloud Computing in Construction Industry: Use Cases, Benefits and Challenges", Autom Constr, 122, 103441, doi:10.1016/J.AUTCON.2020.103441, 2021.
- Mansouri, N., and Javidi, M., "A New Prefetching-Aware Data Replication to Decrease Access Latency in Cloud Environment", Journal of Systems and Software, Vol. 144, pp. 197–215, doi:10.1016/J.JSS.2018.05.027, 2018.
- Mansouri, N., "QDR: A QoS-Aware Data Replication Algorithm for Data Grids Considering Security Factors", Cluster Comput, 19, pp. 1071–1087, doi:10.1007/S10586-016-0576-7/METRICS, 2016.
- Sun, S., Yao, W., Li, X., "DARS: A Dynamic Adaptive Replica Strategy under High Load Cloud-P2P", Future Generation Computer Systems, Vol. 78, pp. 31–40, doi:10.1016/J.FUTURE.2017.07.046, 2018.
- Madhubala, R. P., "Survey on Security Concerns in Cloud Computing", Proceedings of the 2015 International Conference on Green Computing and Internet of Things, ICGCIoT 2015 2016, pp. 1458–1462, doi:10.1109/ICGCIOT.2015.7380697.
- Tao, M., Ota, K., Dong, M., DSARP: Dependable Scheduling with Active Replica Placement for Workflow Applications in Cloud Computing. IEEE Transactions on Cloud Computing, Vol. 8, pp. 1069–1078, doi:10.1109/TCC.2016.2628374, 2020.
- Xie, F., Yan, J., Shen, J., "Towards Cost Reduction in Cloud-Based Workflow Management through Data Replication", Proceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017, pp. 94–99, doi:10.1109/CBD.2017.24, 2017.
- Marini, F., Walczak, B., "Particle Swarm Optimization (PSO)", A Tutorial. Chemometrics and Intelligent Laboratory Systems, Vol. 149, pp. 153–165, doi:10.1016/J.CHEMOLAB.2015.08.020, 2015.
- Ojha, V., Abraham, A., Snášel, V., "Heuristic Design of Fuzzy Inference Systems: A Review of Three Decades of Research", Eng Appl Artif Intell, Vol. 85, pp. 845–864, doi:10.1016/J.ENGAPPAI.2019.08.010, 2019.
- Aubry, P., Marrez, J., Valibouze, A., "Computing Real Solutions of Fuzzy Polynomial Systems", Fuzzy Sets Syst, Vol. 399, pp. 55–76, doi:10.1016/J.FSS.2020.01.004 , 2020.
- Guillaume, S., "Designing Fuzzy Inference Systems from Data: An Interpretability-Oriented Review", IEEE Transactions on Fuzzy Systems, Vol. 9, pp. 426–443, doi:10.1109/91.928739, 2001.
- Shingne, H., Shriram, R., "Heuristic Deep Learning Scheduling in Cloud for Resource-Intensive Internet of Things Systems", Computers and Electrical Engineering, doi:10.1016/j.compeleceng.2023.108652, 2023.
- Zhou, G., Tian, W.H., Buyya, R., Wu, K., "Growable Genetic Algorithm with Heuristic-Based Local Search for Multi-Dimensional Resources Scheduling of Cloud Computing", Appl Soft Comput, doi:10.1016/j.asoc.2023.110027, 2023.
- Liu, L., Yang, Y., Wang, H., Tan, Z., Li, C., "A Group Based Genetic Algorithm Data Replica Placement Strategy for Scientific Workflow", Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017, pp. 459–464, doi:10.1109/ICIS.2017.7960036, 2017.
- Li, C., Wang, Y.P., Tang, H., Luo, Y., "Dynamic Multi-Objective Optimized Replica Placement and Migration Strategies for SaaS Applications in Edge Cloud", Future Generation Computer Systems, Vol. 100, pp. 921–937, doi:10.1016/J.FUTURE.2019.05.003, 2019.
- Nousias, I., Khawam, S., Milward, M., Muir, M., Arslan, T. A Multi-Objective GA Based Physical "Placement Algorithm for Heterogeneous Dynamically Reconfigurable Arrays", Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007, pp. 504–510, doi:10.1109/AHS.2007.8, 2007.
- Huang, X., Wu, F., "A Cost-Effective Data Replica Placement Strategy Based on Hybrid Genetic Algorithm for Cloud Services", Lecture Notes in Business Information Processing, Vol. 327, pp. 43–56, doi:10.1007/978-3-319-99040-8_4/FIGURES/6,
- Navimipour, N. J., Milani, B. A., "Replica Selection in the Cloud Environments Using an Ant Colony Algorithm", 2016 3rd International Conference on Digital Information Processing, Data Mining, and Wireless Communications, DIPDMWC 2016, pp. 105–110, doi:10.1109/DIPDMWC.2016.7529372, 2016.
- khalili azimi, S., "A Bee Colony (Beehive) Based Approach for Data Replication in Cloud Environments", Lecture Notes in Electrical Engineering, Vol. 480, pp. 1039–1052, doi:10.1007/978-981-10-8672-4_80/COVER, 2019.
- Park, S. M., Kim, J. H., Ko, Y. B., Yoon, W. S., "Dynamic Data Grid Replication Strategy Based on Internet Hierarchy", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3033, pp. 838–846, doi:10.1007/978-3-540-24680-0_133/COVER, 2004.
- Mokadem, R., Hameurlain, A., "A Data Replication Strategy with Tenant Performance and Provider Economic Profit Guarantees in Cloud Data Centers", Journal of Systems and Software, Vol. 159, 110447, doi:10.1016/J.JSS.2019.110447, 2020.
- Salem, R., Salam, M.A., Abdelkader, H., Awad Mohamed, A., "An Artificial Bee Colony Algorithm for Data Replication Optimization in Cloud Environments", IEEE Access, Vol. 8, pp. 51841–51852, doi:10.1109/ACCESS.2019.2957436, 2020.
- Gill, N. K., Singh, S., "A Dynamic, Cost-Aware, Optimized Data Replication Strategy for Heterogeneous Cloud Data Centers", Future Generation Computer Systems, Vol. 65, pp. 10–32, doi:10.1016/J.FUTURE.2016.05.016, 2016.
- Tos, U., Mokadem, R., Hameurlain, A., Ayav, T., Bora, S., "A Performance and Profit Oriented Data Replication Strategy for Cloud Systems", In Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pp. 780–787, 2016.
- Mansouri, N., Javidi, M., Zade, B.M.H., "Hierarchical data replication strategy to improve performance in cloud computing", Front. Comput. Sci, Vol. 15, 152501. https://doi.org/10.1007/s11704-019-9099-8, 2021.
- Edwin, E. B., Umamaheswari, P., Thanka, M. R., "An efficient and improved multi-objective optimized replication management with dynamic and cost aware strategies in cloud computing data center", Cluster Comput 22 (Suppl 5), pp. 11119–11128. https://doi.org/10.1007/s10586-017-1313-6, 2019.
- Zade, B., Mansouri, N., Javidi, M. M., "A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment", Artif Intell Rev., Vol. 56, pp. 9837–9947. https://doi.org/10.1007/s10462-022-10309-y, 2023.
- Sun, D. W., Chang, G. R., Gao, S., Jin, L. Z., Wang, X. W., "Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments", J Comput Sci Technol, Vol. 27, pp. 256–272, doi:10.1007/S11390-012-1221-4/METRICS, 2012.
- Long, S. Q., Zhao, Y. L., Chen, W., "MORM: A Multi-Objective Optimized Replication Management Strategy for Cloud Storage Cluster", Journal of Systems Architecture, Vol. 60, pp. 234–244, doi:10.1016/J.SYSARC.2013.11.012, 2014.
- Singh, H., Gupta, M. M., Meitzler, T., Hou, Z. G., Garg, K.K., Solo, A. M. G., Zadeh, L. A., "Real-Life Applications of Fuzzy Logic", Advances in Fuzzy Systems 2013, doi:10.1155/2013/581879, 2013.
- Hu, J., Chen, P., Chen, X., "Intuitionistic Random Multi-Criteria Decision-Making Approach Based on Prospect Theory with Multiple Reference Intervals", Scientia Iranica, Vol. 21, pp. 2347–2359, 2014.
- Bai, Y., Wang, D., "Fundamentals of Fuzzy Logic Control — Fuzzy Sets, Fuzzy Rules and Defuzzifications", Advances in Industrial Control, pp. 17–36, doi:10.1007/978-1-84628-469-4_2/COVER, 2006.
- Pedrycz, W., "Why Triangular Membership Functions?" Fuzzy Sets Syst, Vol. 64, pp. 21–30, doi:10.1016/0165-0114(94)90003-5, 1994.
- Herva, M., Franco-Uría, A., Carrasco, E. F., Roca, E., "Application of Fuzzy Logic for the Integration of Environmental Criteria in Ecodesign", Expert Syst Appl, Vol. 39, pp. 4427–4431, doi:10.1016/J.ESWA.2011.09.148, 2012.
- Gulati, S., Pal, A., "Tuning Fuzzy Logic Controller with SGWO for River Water Quality Modelling", Mater Today Proc, Vol. 54, pp. 733–737, doi:10.1016/J.MATPR.2021.10.467, 2022.
- López-Pires, F., Barán, B., "Many-Objective Virtual Machine Placement", J Grid Comput, Vol. 15, pp. 161–176, doi:10.1007/S10723-017-9399-X/METRICS, 2017.
|