Scheduling algorithms for real-time computing systems admitting simulation models

DOI10.1134/S0361768813050034zbMath1311.68037MaRDI QIDQ395267

V. A. Kostenko

Publication date: 29 January 2014

Published in: Programming and Computer Software (Search for Journal in Brave)

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (11)

Planning computations in a multiprocessor system with unfixed parameters ⋮ Self-learning genetic algorithm ⋮ Model of distributed computing system operation with time ⋮ Algorithm for resource allocation in data centers with independent schedulers for different types of resources ⋮ Computation scheduling in multiprocessor systems with several types of additional resources and arbitrary processors ⋮ Optimal correction of execution intervals for multiprocessor scheduling with additional resource ⋮ Normative dynamic analysis of extreme operational modes of a heterogeneous computing system ⋮ Control model of the phased upgrade of a heterogeneous computing system ⋮ Combinatorial optimization algorithms combining greedy strategies with a limited search procedure ⋮ Making schedules in multiprocessing systems with several additional resources ⋮ Simulated annealing algorithm in problems of multiprocessor scheduling

Cites Work

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• A parallel algorithm of simulated annealing for multiprocessor scheduling
• The problem of schedule construction in the joint design of hardware and software
• Synthesizing structures of real-time computer systems using genetic algorithms
• A distributed implementation of simulated annealing for the travelling salesman problem
• Design of computer systems for digital signal processing based on the concept of ``open architecture
• Algorithm for synthesis of real-time systems under reliability constraints
• Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines
• Iterative scheduling algorithms based on the subdivision of the solution space into domains
• Large-grain parallelism in signal processing problems

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