
Antonio Ruiz Cortés
Professor at Universidad de Sevilla, Sevilla, Spain
Antonio Ruiz-Cortés is an AAIA Fellow and an elected member of the Academia Europaea. He has been recognized nationally and internationally for his contributions, with honors including the National Informatics Award (ARITMEL), the FAMA Career Award for Research and Transfer from the University of Seville, and the Most Influential Paper Awards at SPLC and VAMOS. He leads the Unit of Excellence SCORE and the Applied Software Engineering Research Group at the University of Seville since their inception, and served as Deputy Director of the I3US Research Institute). He coordinated the Spanish Network of Excellence in Services Science and Engineering and was President of SISTEDES.
His current research explores Intelligent Contract Management, Coevolutionary Hybrid Intelligence, and Quantum Software Engineering, aiming to develop analytical approaches for designing systems that not only manage performance and capacity across classical, quantum, and hybrid services, but also improve their self-adaptation through insights extracted from pricing information and other operational data from service providers. He is Associate Editor of IEEE Transactions on Services Computing and Springer Computing, and formerly of the International Journal on Cooperative Information Systems.
Title: Deconstructing API Consumption in Digital Ecosystems with Analog Technology
API consumption is one of the fundamental processes that sustain modern distributed systems. This consumption is typically regulated by quotas, rate limits, and other operational constraints. In practice, these boundaries are often ambiguous or only partially disclosed. Such opacity makes it difficult for clients to operate safely within the defined limits, frequently resulting in degraded “health reputations,” API overloads, and, ultimately, stress across the broader ecosystem.
In this talk, we will reexamine the current API consumption model and reinterpret the API as an entity that transforms electrical energy into computational energy. Building on analog circuit theory, we will explore how this analogy provides a rigorous way to analyze, visualize, and regulate API consumption.
This analog perspective introduces a new framework for clarifying interpretive ambiguities in provider documentation, offers a powerful visual-analytic model for understanding the real dynamics of API interactions, and opens the door to more adaptive and self-regulating digital ecosystems.
