ACSOS 2021
Mon 27 September - Fri 1 October 2021 Washington, DC, United States

Multi-scale feedback systems, where information cycles through micro- and macro-scales leading to adaptation, are ubiquitous across domains, from animal societies and human organisations to electric grids and neural networks. Studies on the effects of timing on system properties are often domain specific. The Multi-Scale Abstraction Feedbacks (MSAF) design pattern aims to generalise the description and understanding of multi-scale systems where feedback occurs across scales. We expand on MSAF to include timing considerations. We then apply these considerations to two models: a hierarchical oscillator (HO) and a hierarchical cellular automata (HCA). Results show how (i) different timing configurations significantly affect system macro-properties and (ii) different regions of time configurations can lead to the same macro-properties. These results contribute to theory, while also providing useful insights for designing and controlling such systems.

Wed 29 Sep

Displayed time zone: Eastern Time (US & Canada) change

11:45 - 12:50
Cross-disciplinary researchMain Track at AUDITORIUM 2
Chair(s): Alessandro Vittorio Papadopoulos Mälardalen University
Timing configurations affect the macro-properties of multi-scale feedback systems
Main Track
Patricia Mellodge University of Hartford, Ada Diaconescu LTCI Lab, Telecom Paris, Institute Politechnqie de Paris, Louisa Jane Di Felice Universidad Autónoma de Barcelona
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations
Main Track
Li Wu Elastisys AB/Technische Universität Berlin, Johan Tordsson Elastisys AB, Erik  Elmroth  Elastisys AB/Umea University, Odej  Kao Technische Universität Berlin
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Main Track
Mingyue Zhang Peking University, China, Jialong Li Waseda University, Japan, Haiyan Zhao Peking University, Kenji Tei Waseda University / National Institute of Informatics, Japan, Shinichi Honiden Waseda University / National Institute of Informatics, Japan, Zhi Jin Peking University