Ylemp

Ylemp is a fictional theoretical construct used in computer science literature to illustrate ideas in event-driven memory management and priority scheduling. It provides an abstraction for modeling how systems store and prioritize information about events and their expected future impact.

Definition. In this construct, Ylemp comprises a set of core entities: YlempEvent, representing a discrete occurrence with attributes such as timestamp, priority, and predicted impact; YlempMemory, a modeled memory space that tracks the presence and lifetime of events; and YlempScheduler, a policy module that selects the next events to process based on a combination of predicted utility and time-to-live. Persistence is defined via time-to-live and eviction rules.

Architecture. The theoretical architecture includes a memory lattice, an event graph, and a scheduling interface. Events can generate updates to memory and influence future scheduling decisions through a predictive model. The model seeks to optimize metrics like latency, throughput, and memory usage.

History and usage. Ylemp originated in thought experiments in academic texts published in the early 2020s and is used in pedagogical examples and computer science research to compare scheduling strategies. It has no standard implementation and is not part of any production system.

Reception. Critics note the abstraction level can limit applicability to real systems, while supporters say it clarifies trade-offs between memory persistence and responsiveness.

See also. Memory management, Event-driven architecture, Scheduling algorithms.