ANALYSIS OF THE IMPACT OF SHARDING ON THE SCALABILITY AND EFFICIENCY OF BLOCKCHAIN TECHNOLOGIES FOR THE CREATION OF INFORMATION-ANALYTICAL SYSTEMS FOR ENVIRONMENTAL MONITORING OF EMISSIONS INTO THE ENVIRONMENT

Authors

DOI:

https://doi.org/10.37943/18VIFS4010

Keywords:

blockchain; emission; smart contract; zero emissions; internet of things

Abstract

This study examines the impact of sharding on the scalability and efficiency of blockchain systems, specifically in the development of a complex of intelligent information and communication systems for environmental monitoring of emissions into the environment for decision-making in the context of carbon neutrality. Utilizing the Ikarus Network infrastructure, sharding was implemented on masternodes as a key technology to optimize transaction processing. Sharding enables the blockchain to be divided into multiple parallel chains, significantly increasing throughput and reducing the load on individual nodes. The results demonstrate a 70% increase in transaction processing speed, allowing the system to handle up to 5000 transactions per second, compared to the previous 3000 transactions per second. Network throughput increased by 50%, ensuring more efficient load distribution and stable operation even with high data volumes. Statistical analysis using ANOVA confirmed significant improvements in transaction processing speed, confirmation time, and resource usage post-sharding implementation. The F-value for transaction processing speed was 4567 with a P-value of 0.0001, indicating substantial improvements. Visual data analysis further confirmed these results, showing noticeable performance enhancements in the blockchain system. Distribution charts and histograms of transaction processing speed and confirmation time revealed an increase in the average number of transactions per second and greater system stability post-sharding. Sharding not only increased throughput but also enhanced system security by decentralizing data among shards, complicating potential cyberattacks. The study aimed to determine how sharding can improve the scalability and efficiency of blockchain systems. These improvements position the Ikarus Network as a promising solution for scalable and secure blockchain-based applications, especially for tasks related to carbon emission monitoring and management. These findings can underpin further study and the development of more efficient blockchain technologies.

Author Biographies

Sapar Toxanov , Astana IT University, Kazakhstan

PhD, Director of the Center of Competency and Excellence

Saltanat Sharipova, Astana IT University, Kazakhstan

Master of Science, Manager of the Center of Competency and Excellence

Andrii Biloshchytskyi, Astana IT University, Kazakhstan

Doctor of Technical Sciences, Professor, Vice-Rector for Science and Innovations

Dilara Abzhanova, Astana IT University, Kazakhstan

Master of Engineering and Technology, General Manager of the Center of Competency and Excellence

Batyrbek Bakytkereiuly , Astana IT University, Kazakhstan

Master student

References

Deng, N., Gong, Y., & Wang, J. (2024). Promoting blockchain technology in low-carbon management to achieve firm performance from a socio-economic perspective: Empirical evidence from China. Journal of Cleaner Production, 448, 141686.

Zhao, N., Sheng, Z., & Yan, H. (2021). Emission trading innovation mechanism based on blockchain. Chinese Journal of Population, Resources and Environment, 19(4), 369-376.

Anglés-Tafalla, C., Viejo, A., Castellà-Roca, J., Mut-Puigserver, M., & Payeras-Capellà, M. M. (2022). Security and privacy in a blockchain-powered access control system for low emission zones. IEEE Transactions on Intelligent Transportation Systems, 24(1), 580-595.

Al Sadawi, A., Madani, B., Saboor, S., Ndiaye, M., & Abu-Lebdeh, G. (2021). A comprehensive hierarchical blockchain system for carbon emission trading utilizing blockchain of things and smart contract. Technological Forecasting and Social Change, 173, 121124.

Parmentola, A. (2022). Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs). Business Strategy and the Environment, 1, 4-217.

Bai, C. A. (2020). Blockchain technology: Business, strategy, the environment, and sustainability. Business Strategy and the Environment, 1, 321-322.

Effah, D., Chunguang, B., Appiah, F., Agbley, B. L. Y., & Quayson, M. (2021). Carbon emission monitoring and credit trading: The blockchain and IOT approach, 106–109.

Yang, J., Huang, H., Zhang, Y., Dai, J., & Gooi, H. B. (2022, November). Tron Blockchain Based Pricing Scheme for Energy Trading Considering Carbon Emissions Taxes. In 2022 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 335-339. IEEE.

El Hathat, Z., Venkatesh, V. G., Zouadi, T., Sreedharan, V. R., Manimuthu, A., & Shi, Y. (2023). Analyzing the greenhouse gas emissions in the palm oil supply chain in the VUCA world: A blockchain initiative. Business Strategy and the Environment, 32(8), 5563-5582.

Lu, Y., Li, Y., Tang, X., Cai, B., Wang, H., Liu, L., ... & Yu, K. (2022). STRICTs: A blockchain-enabled smart emission cap restrictive and carbon permit trading system. Applied Energy, 313, 118787.

Yan, J., Zhang, F., Ma, J., An, X., Li, Y., & Huang, Y. (2019, October). Environmental monitoring system based on blockchain. In Proceedings of the 4th International Conference on Crowd Science and Engineering, 40-43.

Nußbaum, A., Schütte, J., Hao, L., Schulzrinne, H., & Alt, F. (2021, December). Tremble: Transparent emission monitoring with blockchain endorsement. In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 59-64. IEEE.

Okanami, N., Nakamura, R., & Nishide, T. (2020). Load balancing for sharded blockchains. In Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Kota Kinabalu, Malaysia, February 14, 2020, Revised Selected Papers 24, 512-524. Springer International Publishing.

Liu, X., Xie, H., Yan, Z., & Liang, X. (2023). A survey on blockchain sharding. ISA transactions, 141, 30-43.

Hong, Z., Guo, S., & Li, P. (2022). Scaling blockchain via layered sharding. IEEE Journal on Selected Areas in Communications, 40(12), 3575-3588.

Bagui, S., & Nguyen, L. T. (2015). Database sharding: to provide fault tolerance and scalability of big data on the cloud. International Journal of Cloud Applications and Computing (IJCAC), 5(2), 36-52.

Li, X., Luo, H., & Duan, J. (2022, March). Security analysis of sharding in blockchain with PBFT Consensus. In The 2022 4th International Conference on Blockchain Technology, 9-14.

Li, C., Huang, H., Zhao, Y., Peng, X., Yang, R., Zheng, Z., & Guo, S. (2022, September). Achieving scalability and load balance across blockchain shards for state sharding. In 2022 41st International Symposium on Reliable Distributed Systems (SRDS), 284-294. IEEE.

Wilcox, R. R. (2002). Understanding the practical advantages of modern ANOVA methods. Journal of Clinical Child and Adolescent Psychology, 31(3), 399-412.

Henson, R. N. (2015). Analysis of variance (ANOVA) //Brain Mapping: an encyclopedic reference. Elsevier, 477-481.

Downloads

Published

2024-06-30

How to Cite

Toxanov , S., Sharipova, S., Biloshchytskyi, A., Abzhanova, D., & Bakytkereiuly , B. (2024). ANALYSIS OF THE IMPACT OF SHARDING ON THE SCALABILITY AND EFFICIENCY OF BLOCKCHAIN TECHNOLOGIES FOR THE CREATION OF INFORMATION-ANALYTICAL SYSTEMS FOR ENVIRONMENTAL MONITORING OF EMISSIONS INTO THE ENVIRONMENT. Scientific Journal of Astana IT University, 18, 66–74. https://doi.org/10.37943/18VIFS4010

Issue

Section

Information Technologies
betpas
pendik escort anadolu yakasi escort bostanci escort kadikoy escort kartal escort kurtkoy escort umraniye escort
maltepe escort ataşehir escort ataşehir escort ümraniye escort pendik escort kurtköy escort anadolu yakası escort üsküdar escort şerifali escort kartal escort gebze escort kadıköy escort bostancı escort göztepe escort kadıköy escort bostancı escort üsküdar escort ataşehir escort maltepe escort kurtköy escort anadolu yakası escort ataşehir escort beylikdüzü escort