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Adaptive Scheduling for Time-Triggered Network-on-Chip-Based Multi-Core Architecture Using Genetic Algorithm

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-0-12-821986-7.00018-4openalex-snapshot
Bat Algorithms
inferredcites →https://doi.org/10.1016/j.sysarc.2013.04.009openalex-snapshot
From UML specifications to mapping and scheduling of tasks into a NoC, with reliability considerations
inferredcites →https://doi.org/10.1109/dsd.2015.33openalex-snapshot
Time-Triggered Extension Layer for On-Chip Network Interfaces in Mixed-Criticality Systems
inferredcites →https://doi.org/10.1109/iscas.2017.8050632openalex-snapshot
A two-stage variation-aware task mapping scheme for fault-tolerant multi-core Network-on-Chips
inferredcites →https://doi.org/10.1109/kbei.2017.8324961openalex-snapshot
Meta-scheduling techniques for energy-efficient robust and adaptive time-triggered systems
inferredcites →https://doi.org/10.1109/pdp.2017.46openalex-snapshot
Global Adaptation for Energy Efficiency in Multicore Architectures
inferredcites →https://doi.org/10.1109/recosoc.2017.8016149openalex-snapshot
Fault recovery and adaptation in time-triggered Networks-on-Chips for mixed-criticality systems
inferredcites →https://doi.org/10.1109/rsp.2012.6380704openalex-snapshot
Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs
inferredcites →https://doi.org/10.1145/1878961.1879014openalex-snapshot
A task remapping technique for reliable multi-core embedded systems
inferredcites →https://doi.org/10.1145/2656075.2656087openalex-snapshot
HEFT
inferredcites →https://doi.org/10.1145/2898361openalex-snapshot
SNAP
inferredcites →https://doi.org/10.1145/3408324openalex-snapshot
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors
inferredcites →https://doi.org/10.3390/designs3010007openalex-snapshot
Adaptive Time-Triggered Multi-Core Architecture
inferredcites →https://doi.org/10.3390/info10120390openalex-snapshot
Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-34214-1_3openalex-snapshot
Adaptation for Energy Saving in Time-Triggered Systems Using Meta-scheduling with Sample Points
inferred← citeshttps://doi.org/10.1007/978-3-031-53652-6_7openalex-snapshot
Adaptive Hierarchical Meta-Scheduling for Distributed Time-Triggered Systems with Diverse Internal and System Architectures
inferred← citeshttps://doi.org/10.1007/978-3-032-40421-3_11openalex-snapshot
Configurable Scheduling Problems: Modeling and Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-7817-7_8openalex-snapshot
Performance-Driven Adaptive Genetic Algorithms in Various Applications: A Review
inferred← citeshttps://doi.org/10.1007/978-981-96-6034-6_29openalex-snapshot
Optimizing Predictive Maintenance: Introducing the SVM-TESA Model with Enhanced Data Analysis Techniques
inferred← citeshttps://doi.org/10.1016/j.micpro.2023.104970openalex-snapshot
Optimizing Network-on-Chip using metaheuristic algorithms: A comprehensive survey
inferred← citeshttps://doi.org/10.1109/access.2025.3645993openalex-snapshot
Leveraging Multi-Cycle Information to Improve Event Prediction in Time-Triggered Systems
inferred← citeshttps://doi.org/10.1109/codit66093.2025.11321607openalex-snapshot
Memory Optimization for Adaptive Time-Triggered Systems
inferred← citeshttps://doi.org/10.1109/iccpct58313.2023.10245047openalex-snapshot
Asynchronous Circular Buffers based on FIFO for Network on Chips
inferred← citeshttps://doi.org/10.1109/iceti4t63625.2025.11132264openalex-snapshot
3D Hair Style Recommendation And Salon Scheduling
inferred← citeshttps://doi.org/10.1109/icit58233.2024.10540699openalex-snapshot
Model Comparative Analysis of Neighborhood Aggregation Levels in Graph Neural Networks for Metaschedulers
inferred← citeshttps://doi.org/10.1109/icsca57840.2023.10087446openalex-snapshot
Evaluation of AI-based Meta-scheduling Approaches for Adaptive Time-triggered System
inferred← citeshttps://doi.org/10.1109/jiot.2023.3252820openalex-snapshot
Metascheduling Using Discrete Particle Swarm Optimization for Fault Tolerance in Time-Triggered IoT-WSN
inferred← citeshttps://doi.org/10.1109/jsen.2025.3559073openalex-snapshot
A Mixed Time/Event-Triggered Flow Transmission Strategy for Industrial Wireless Networks
inferred← citeshttps://doi.org/10.1109/meco55406.2022.9797075openalex-snapshot
AI-Based Scheduling for Adaptive Time-Triggered Networks
inferred← citeshttps://doi.org/10.1109/meco66322.2025.11049272openalex-snapshot
Incremental Multi-Schedule Graph for Memory Optimization in Adaptive Time-Triggered Systems
inferred← citeshttps://doi.org/10.1109/rtas61025.2024.00010openalex-snapshot
Integrating Sporadic Events in Time-triggered Systems via Affine Envelope Approximations
inferred← citeshttps://doi.org/10.1109/sita67914.2025.11273585openalex-snapshot
AD-TTS: A Multi-Task Simulation Framework and Dataset for Event Prediction in Time-Triggered Autonomous Driving
inferred← citeshttps://doi.org/10.1145/3715340.3715431openalex-snapshot
Modeling and Analysis of Configurable Job-Shop Scheduling Problems
inferred← citeshttps://doi.org/10.2478/ijanmc-2023-0066openalex-snapshot
Design and Performance Testing of a Simulation Model for Time-Triggered Ethernet
inferred← citeshttps://doi.org/10.3390/a18080456openalex-snapshot
Scheduling the Exchange of Context Information for Time-Triggered Adaptive Systems
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