DSM: a dynamic scheduling method for concurrent workflows in cloud environment
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1189-5
Abstract: Cloud computing, emerged as a commercial service model, has been widely concerned in both industry and academia. Massive workflow applications could be performed simultaneously on the cloud platforms, which significantly benefits from the elasticity and… read more here.
Keywords: cloud environment; scheduling method; dynamic scheduling; concurrent workflows ... See more keywords
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling
Sign Up to like & getrecommendations! Published in 2024 at "Genetic Programming and Evolvable Machines"
DOI: 10.1007/s10710-023-09478-8
Abstract: Linear genetic programming (LGP) is a genetic programming paradigm based on a linear sequence of instructions being executed. An LGP individual can be decoded into a directed acyclic graph. The graph intuitively reflects the primitives… read more here.
Keywords: graphs; dynamic scheduling; lgp; genetic programming ... See more keywords
SPAWN: An Iterative, Potentials-Based, Dynamic Scheduling and Partitioning Tool
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-020-00677-9
Abstract: Many applications of physics modeling use regular meshes on which computations of highly variable cost over time can occur. Distributing the underlying cells over manycore architectures is a critical load balancing step that should be… read more here.
Keywords: iterative potentials; potentials based; based dynamic; scheduling partitioning ... See more keywords
A multi-agent based approach to dynamic scheduling with flexible processing capabilities
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-015-1069-x
Abstract: A multi-agent based system is proposed to simultaneous scheduling of flexible machine groups and material handling system working under a manufacturing dynamic environment. The proposed model is designed by means of $$\hbox {Prometheus}^{\mathrm{TM}}$$PrometheusTM methodology and… read more here.
Keywords: agent; system; scheduling flexible; multi agent ... See more keywords
Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79593-8
Abstract: This paper investigates the Dynamic Flexible Job Shop Scheduling Problem (DFJSP), which is based on new job insertion, machine breakdowns, changes in processing time, and considering the state of Automated Guided Vehicles (AGVs). The objective… read more here.
Keywords: machinerank algorithm; job shop; dynamic scheduling; job ... See more keywords
Dynamic Scheduling Policy for Patient Flow in a Smart Environment
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2017.01.003
Abstract: Given the popularity of smart environment in a hospital involving the participation of a large group of patients, scheduling of patients towards their desired destination is still being a challenging issue. With the development of… read more here.
Keywords: patient flow; environment; dynamic scheduling; scheduling policy ... See more keywords
A Survey: FPGA‐Based Dynamic Scheduling of Hardware Tasks
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2021.07.021
Abstract: To meet the increasing computing needs of various application fields, Field programmable gate array (FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appropriate computing resources. Therefore, FPGA-based… read more here.
Keywords: task; hardware; fpga based; hardware tasks ... See more keywords
Derived dynamic scheduling for belief propagation decoding of LDPC codes
Sign Up to like & getrecommendations! Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.13130
Abstract: Among numerous dynamic scheduling strategies for low‐density parity‐check codes, many of them are of high complexity due to repetitive computation and ordering of belief residuals. To address these challenges, two novel approaches are proposed: the… read more here.
Keywords: scheduling belief; belief propagation; dynamic scheduling; derived dynamic ... See more keywords
Dynamic scheduling in make-to-stock production systems with setup times and random breakdowns: performance analysis and improved policies
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Production Research"
DOI: 10.1080/00207543.2021.1917013
Abstract: We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average inventory and backlog costs. We make two contributio... read more here.
Keywords: setup times; production; stock production; make stock ... See more keywords
Energy-Efficient Job-Shop Dynamic Scheduling System Based on the Cyber-Physical Energy-Monitoring System
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2869048
Abstract: Nowadays, a large amount of energy is consumed by buildings in the city. Among them, industrial energy consumption accounts for a large proportion due to the high power of manufacturing devices in the job-shop. To… read more here.
Keywords: dynamic scheduling; job shop; system; energy ... See more keywords
A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000781
Abstract: Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems. Thus, the knowledge base (KB) of a dynamic scheduling control system should be dynamic and include… read more here.
Keywords: reinforcement learning; mix flexibility; approach; dynamic scheduling ... See more keywords