Rozkad

Rozkad is a scheduling framework and algorithmic approach used to optimize the allocation of tasks and resources in dynamic, distributed environments. It integrates constraint programming with heuristic search to produce feasible schedules that respect resource limits, timing constraints, and task precedence, while optimizing objectives such as makespan, throughput, or energy consumption.

Etymology: The name Rozkad derives from Slavic roots meaning distribution or timetable, chosen to reflect its focus on layout and scheduling.

Architecture and operation: Rozkad comprises a planning component that generates schedules for a planning horizon and an execution component that enforces the plan while adapting to real-time changes. It supports rolling-horizon planning, incremental reoptimization, and plug-in cost functions. The model includes tasks, resources, and constraints, and uses a hybrid search strategy that blends constraint propagation with heuristics to scale to moderately large problem instances.

Applications: It has been applied to cloud resource orchestration, manufacturing and logistics, and public transportation planning, where rapid reconfiguration is needed in response to changing demand or failures.

History and reception: Rozkad was introduced in academic work in the early 2010s and has since appeared in open-source projects and pilot deployments in industry. Advocates praise its modular architecture and hybrid approach, while critics note that performance depends on the modeling quality and that very large problems may require substantial computing resources.

See also: Scheduling, Constraint programming, Operations research, Rolling-horizon planning.