2019 IJCAI IJCAI 2019

Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging

Abstract

We consider mechanisms for the online allocation of perishable resources such as energy or computational power. A main application is electric vehicle charging where agents arrive and leave over time. Unlike previous work, we consider mechanisms without money, and a range of objectives including fairness and efficiency. In doing so, we extend the concept of envy-freeness to online settings. Furthermore, we explore the trade-offs between different objectives and analyse their theoretical properties both in online and offline settings. We then introduce novel online scheduling algorithms and compare them in terms of both their theoretical properties and empirical performance.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Mathematics & Optimization
🧭 Keyword Pioneer — perishable good
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Data Science & Analytics, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning