THE IMPACT OF PRICING SCHEMES ON CLOUD COMPUTING AND DISTRIBUTED SYSTEMS
DOI:
https://doi.org/10.60087/jklst.v3.n3.p206-224Keywords:
Cloud Computing Pricing; Economic Efficiency; Resource Management;Cost OptimizationAbstract
This article investigates the economic implications of pricing models in cloud and distributed computing systems, emphasizing their influence on system performance and user cost efficiency. We analyze the efficacy of various pricing structures, including pay-as-you-go and resource-consumption-based models, and their impact on both operational efficiency and financial management. Our findings highlight significant challenges in optimizing cost-efficiency without compromising system effectiveness and call for the development of more sophisticated pricing strategies. By examining the limitations of current economic models and the evolution of dynamic and auction-based pricing mechanisms, the study offers insights into future research directions aimed at enhancing fairness and competitiveness in cloud computing environments.
Downloads
References
Shi, Y., Shang, F., Xu, Z., & Zhou, S. (2024). Emotion-Driven Deep Learning Recommendation Systems: Mining Preferences from User Reviews and Predicting Scores. Journal of Artificial Intelligence and Development, 3(1), 40-46.
Lei, H., Wang, B., Shui, Z., Yang, P., & Liang, P. (2024). Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology. arXiv preprint arXiv:2404.04492. （多加15个）
Wang, B., He, Y., Shui, Z., Xin, Q., & Lei, H. (2024). Predictive Optimization of DDoS Attack Mitigation in Distributed Systems using Machine Learning. Applied and Computational Engineering, 64, 95-100.
Wang, B., Zheng, H., Qian, K., Zhan, X., & Wang, J. (2024). Edge computing and AI-driven intelligent traffic monitoring and optimization. Applied and Computational Engineering, 77, 225-230. (25个)
Xu, Y., Liu, Y., Xu, H., & Tan, H. (2024). AI-Driven UX/UI Design: Empirical Research and Applications in FinTech. International Journal of Innovative Research in Computer Science & Technology, 12(4), 99-109.
Liu, Y., Xu, Y., & Song, R. (2024). Transforming User Experience (UX) through Artificial Intelligence (AI) in interactive media design. Engineering Science & Technology Journal, 5(7), 2273-2283.
Zhang, P. (2024). A STUDY ON THE LOCATION SELECTION OF LOGISTICS DISTRIBUTION CENTERS BASED ON E-COMMERCE. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(3), 103-107.
Zhang, P., & Gan, L. I. U. (2024). Optimization of Vehicle Scheduling for Joint Distribution in Logistics Park based on Priority. Journal of Industrial Engineering and Applied Science, 2(4), 116-121.
Li, H., Wang, S. X., Shang, F., Niu, K., & Song, R. (2024). Applications of Large Language Models in Cloud Computing: An Empirical Study Using Real-world Data. International Journal of Innovative Research in Computer Science & Technology, 12(4), 59-69.
Ping, G., Wang, S. X., Zhao, F., Wang, Z., & Zhang, X. (2024). Blockchain Based Reverse Logistics Data Tracking: An Innovative Approach to Enhance E-Waste Recycling Efficiency.
Xu, H., Niu, K., Lu, T., & Li, S. (2024). Leveraging artificial intelligence for enhanced risk management in financial services: Current applications and future prospects. Engineering Science & Technology Journal, 5(8), 2402-2426.
Wang, Shikai, Kangming Xu, and Zhipeng Ling. "Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach." International Journal of Innovative Research in Computer Science & Technology 12.4 (2024): 77-87.
Zhang, M., Yuan, B., Li, H., & Xu, K. (2024). LLM-Cloud Complete: Leveraging Cloud Computing for Efficient Large Language Model-based Code Completion. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 295-326.
Haowei, Ma, et al. "CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins." Food Bioscience 56 (2023): 103110.
Li, J., Wang, Y., Xu, C., Liu, S., Dai, J., & Lan, K. (2024). Bioplastic derived from corn stover: Life cycle assessment and artificial intelligence-based analysis of uncertainty and variability. Science of The Total Environment, 174349.
Ping G, Wang S X, Zhao F, et al. Blockchain Based Reverse Logistics Data Tracking: An Innovative Approach to Enhance E-Waste Recycling Efficiency[J]. 2024.
Shang F, Shi J, Shi Y, et al. Enhancing E-Commerce Recommendation Systems with Deep Learning-based Sentiment Analysis of User Reviews[J]. International Journal of Engineering and Management Research, 2024, 14(4): 19-34.
Ma, Haowei, Cheng Xu, and Jing Yang. "Design of Fine Life Cycle Prediction System for Failure of Medical Equipment." Journal of Artificial Intelligence and Technology 3.2 (2023): 39-45.
Xiao, Jue, et al. "Application progress of natural language processing technology in financial research." Financial Engineering and Risk Management 7.3 (2024): 155-161.
Xu Y, Liu Y, Xu H, et al. AI-Driven UX/UI Design: Empirical Research and Applications in FinTech[J]. International Journal of Innovative Research in Computer Science & Technology, 2024, 12(4): 99-109.
Fruehwirth, Jane Cooley, Alex Xingbang Weng, and Krista MPerreira."The effect of social media use on mental health ofcollege students during the pandemic." Health Economics (2024).
Xu H, Niu K, Lu T, et al. Leveraging artificial intelligence for enhanced risk management in financial services: Current applications and future prospects[J]. Engineering Science & Technology Journal, 2024, 5(8): 2402-2426.
Guan, Bo, Jin Cao, Bingjie Huang, Zhuoyue Wang, Xingqi Wang, and Zixiang Wang. "Integrated Method of Deep learning and Large Language Model in Speech Recognition." (2024).
Shi J, Shang F, Zhou S, et al. Applications of Quantum Machine Learning in Large-Scale E-commerce Recommendation Systems: Enhancing Efficiency and Accuracy[J]. Journal of Industrial Engineering and Applied Science, 2024, 2(4): 90-103.
Yang, T., Xin, Q., Zhan, X., Zhuang, S., & Li, H. (2024). ENHANCING FINANCIAL SERVICES THROUGH BIG DATA AND AI-DRIVEN CUSTOMER INSIGHTS AND RISK ANALYSIS. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(3), 53-62.
Feng, Y., Qi, Y., Li, H., Wang, X., & Tian, J. (2024, July 11). Leveraging federated learning and edge computing for recommendation systems within cloud computing networks. In Proceedings of the Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024) (Vol. 13210, pp. 279-287). SPIE.
Zhao, F.; Li, H.; Niu, K.; Shi, J.; Song, R. Application of Deep Learning-Based Intrusion Detection System (IDS) in Network Anomaly Traffic Detection. Preprints 2024, 2024070595.
Gong, Y., Liu, H., Li, L., Tian, J., & Li, H. (2024, February 28). Deep learning-based medical image registration algorithm: Enhancing accuracy with dense connections and channel attention mechanisms. Journal of Theory and Practice of Engineering Science, 4(02), 1-7.
Zhan, X., Ling, Z., Xu, Z., Guo, L., & Zhuang, S. (2024). Driving Efficiency and Risk Management in Finance through AI and RPA. Unique Endeavor in Business & Social Sciences, 3(1), 189-197.
Xu, K., Zhou, H., Zheng, H., Zhu, M., & Xin, Q. (2024). Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning. arXiv preprint arXiv:2403.19345.
Zheng, H., Xu, K., Zhou, H., Wang, Y., & Su, G. (2024). Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis. Academic Journal of Science and Technology, 10(1), 62-68.
Wang, S., Xu, K., & Ling, Z. (2024). Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach. International Journal of Innovative Research in Computer Science & Technology, 12(4), 77-87.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2024 All rights reserved by the respective authors and JKLST.
Copyright: © The Author(s), 2024. Published by 