Energy-aware real-time task scheduling for heterogeneous multiprocessors with particle swarm optimization algorithm

DOI10.1155/2014/287475zbMath1407.90188OpenAlexW2161230980WikidataQ59065465 ScholiaQ59065465MaRDI QIDQ1718052

Boran Cao, Hucheng Xie, Weizhe Zhang, Albert Mo Kim Cheng

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/287475

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

A comprehensive survey on particle swarm optimization algorithm and its applications

Cites Work

• Assigning real-time tasks to heterogeneous processors by applying ant colony optimization
• On the complexity of fixed-priority scheduling of periodic, real-time tasks
• Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
• A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems

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