Ethereum transaction fees exhibit substantial shortterm volatility driven by network congestion, making it difficult for users and applications to determine optimal transaction timing. This work investigates the temporal structure of Ethereum base fees and develops a scalable data-collection and forecasting pipeline for short-horizon, congestion-aware fee estimation. We propose a harvester engine framework based on a parallel blockprocessing mechanism to capture short-term market volatility and develop a parallelized harvester for efficient fee-history collection using the eth_feeHistory JSON-RPC interface. This interface provides the high-resolution, block-level data required for intraday analysis, despite protocol constraints such as the$\mathbf{1 0 2 4}$-block retrieval limit per request. Our fee-history engine incorporates bounded concurrency, latency-aware pacing, and retry stabilization, reducing 30-day data-acquisition time from hours to minutes. We analyze intra-day fee behavior and show that Ethereum base fees exhibit a stable$\mathbf{2 4}$-hour diurnal cycle. We also propose a normalized shape with a rolling-level calibration framework that preserves a stable daily rhythm while continuously adapting to month-level fee changes. Empirical evaluation shows that the adaptive approach improves accuracy and robustness. These findings demonstrate that Ethereum gas fees contain a predictable structure that can be leveraged for practical, short-term forecasting when combined with adaptive calibration.
Jan 1, 2025·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
This mini-track focuses on how smart contracts and artificial intelligence (AI) in blockchains are used to automate decision analytics to provide new services.Smart contracts can track changes and automate decision-making in supply chain systems, ledgers recording ownership transfers, and decentralized autonomous organizations (DAOs) governance.The rapid development of blockchain technology and smart contracts in the last ten years has fueled a dramatic increase in commerce in the crypto space.Decentralized financial services (DeFi), supply chain systems, healthcare delivery, manufacturing systems, and agriculture are all being impacted by the emergence of distributed ledger technologies (DLTs) enabled by smart contracts.Smart contracts are executable codes that run on blockchains like Ethereum to facilitate, monitor, and execute transactions and agreements between parties without using traditional trusted third parties.These smart contracts automate the decision analytics required for commerce between two or more parties.Artificial intelligence is essential in detecting fraud and misuse, allowing these systems and organizations to run without human intervention.If blockchain commerce is to become widespread, it is vital to understand the characteristics and best practices needed for effective and efficient smart contracts and how AI enables these systems to operate autonomously.This mini-track encourages authors to share new and interesting theoretical and methodological perspectives on topics relevant to academic researchers and practitioners.It welcomes work-in-progress that examines existing and extended theories using smart contracts and AI in blockchain autonomous systems and organizations.It gives special consideration to research submissions when the author(s) commit to including an industry partner in their presentation.It welcomes research that reflects a range of current research methods, including case studies, analytical models, conceptual studies, econometrics, and frameworks.A range of research areas were suggested, including:
This chapter presents the aspects of blockchain regulations, misuse of the industry by mischievous players, and how the industry and governments around the world have been evolving towards embracing new laws and regulations for business focusing on delivering blockchain applications, cryptocurrencies and initial coin offerings. The blockchain industry has seen rapid growth in recent times as many new applications based on distributed ledger technology hit the market. The situation regarding blockchain and cryptocurrency in the US is complicated. Although it is legal to use virtual currencies, their status remains confusing. On the south side of the US border, Mexico published a legal framework passing a law for fintech companies that includes cryptocurrencies in September 2018. On the African continent, cryptocurrencies have legal but unregulated status in South Africa, but the law of the state restricts their use.
This being the case, the local authorities must do far more than in the past to face up to the challenge of making efficient use of their own assets and external financing for local economic development with a view to reducing poverty; they are also repeatedly urged to practise democracy and development on specific projects by eliciting democratic decisions on the use of the scarce resources provided by themselves and obtained from external sources. Both having constantly to deal with the hard realities of development financing constraints democratically and implementing majority decisions on development in a decentralized structure governed by the subsidiarity principle probably form the ideal course for future poverty-oriented development. Following this course successfully will undoubtedly require staying power of all concerned, both in the partner countries and in the international development cooperation community.