Chronotopic Optimization: Temporal Embedding Strategies for Dynamic Resource Allocation in Ephemeral Computing Environments

Posted: Oct 28, 2025

• Dr. Elara Vance
• Professor Marcus Thorne
• Dr. Sienna Patel

Abstract

The landscape of modern computing has evolved toward increasingly transient and ephemeral resource environments. From mobile edge computing nodes that appear and disappear as users move through physical spaces to volunteer computing resources that join and leave networks unpredictably, contemporary computational infrastructure exhibits temporal characteristics that traditional resource allocation methods fail to adequately address. Existing approaches typically treat resource availability as binary states—present or absent—without incorporating the temporal dimension as a fundamental optimization parameter. This limitation becomes particularly problematic in environments where resource persistence patterns vary significantly and computational tasks have specific temporal requirements. Our research addresses this gap by introducing chronotopic optimization, a paradigm that explicitly incorporates temporal persistence characteristics into resource allocation decisions. The term chronotopic derives from the integration of chronological and topological considerations, reflecting our approach's dual focus on time and spatial resource relationships.