Treffer 1 - 20 von 7.571

1

EADRL: Efficiency-aware adaptive deep reinforcement learning for dynamic task scheduling in edge-cloud environments
Anand, J. ; Karthikeyan, B.
In Results in Engineering September 2025 27

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2

A New Hybrid Scheduling Approach to Improve MapReduce Performance in Hadoop Clusters.
Bakni, Nour-Eddine ; Assayad, Ismail
Journal of Intelligent & Fuzzy Systems. Dec2025, p1.

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3

Fault-avoidance strategies for context-aware schedulers in pervasive computing systems
Edinger, Janick ; Schafer, Dominik ; Krupitzer, Christian ; et al.
2017 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pervasive Computing and Communications (PerCom), 2017 IEEE International Conference on. :79-88 Mar, 2017

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5

Quantumized approach of load scheduling in fog computing environment for IoT applications.
Bhatia, Munish ; Sood, Sandeep K. ; Kaur, Simranpreet
Computing. May2020, Vol. 102 Issue 5, p1097-1115. 19p.

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6

Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review.
Ghafari, Reyhane ; Mansouri, Najme
Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-182, 182p

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7

Edge6GLearnNet: Reinforcement-Driven Scheduling With Cross-Edge Attention in 6G Remote Learning MEC Environments
Chen Shen ; Yujia Wang ; Anxiang Guo ; et al.
IEEE Access, Vol 13, Pp 216611-216625 (2025)

Spatiotemporal federated... edge intelligence context-aware orchestrat... distributed education sy... real-time personalizatio... reinforcement learning
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8

Intelligent task scheduling of distributed wireless sensor network to monitor building environment.
Wang, Yifei
Internet Technology Letters; May2021, Vol. 4 Issue 3, p1-6, 6p

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9

Reinforcement learning-based framework for real-time task scheduling in IoT-Fog-Cloud environments.
Xie, Zhixin ; Su, Ying ; Liu, Guangbiao ; et al.
Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-24, 24p

REINFORCEMENT learning SCHEDULING CLOUD computing INTERNET of things DISTRIBUTED computing REAL-time computing
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10

Priority-Aware Multi-Objective Task Scheduling in Fog Computing Using Simulated Annealing.
Mangalampalli, S. Sudheer ; Reddy, Pillareddy Vamsheedhar ; Reddy Karri, Ganesh ; et al.
Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5744, 30p

SCHEDULING SIMULATED annealing MATHEMATICAL programming ENERGY consumption DISTRIBUTED computing MULTI-objective optimiza...
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11

Deep reinforcement learning-based scheduling in distributed systems: a critical review.
Jalali Khalil Abadi, Zahra ; Mansouri, Najme ; Javidi, Mohammad Masoud
Knowledge & Information Systems; Oct2024, Vol. 66 Issue 10, p5709-5782, 74p

DEEP reinforcement learn... ARTIFICIAL intelligence VIRTUAL machine systems DISTRIBUTED algorithms
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12

Enhancing QoS in Delay-Sensitive IoT Applications through Volunteer Computing in Fog Environments.
Rani, Meena ; Guleria, Kalpna ; Panda, Surya Narayan
International Journal of Mathematical, Engineering & Management Sciences; Dec2024, Vol. 9 Issue 6, p1330-1356, 27p

COMPUTER systems QUALITY of life COMPUTER performance QUALITY of service NETWORK performance
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13

Small Language Model-Guided Quantile Temporal Difference Learning for Improved IoT Application Placement in Fog Computing.
Krishnamurthy, Bhargavi ; Shiva, Sajjan G.
Mathematics (2227-7390); Sep2025, Vol. 13 Issue 17, p2768, 20p

REINFORCEMENT learning SCHEDULING LANGUAGE models ENERGY consumption DISTRIBUTED computing RESOURCE allocation
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14

A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments.
Jalali Khalil Abadi, Zahra ; Mansouri, Najme
Artificial Intelligence Review; Jan2024, Vol. 57 Issue 1, p1-72, 72p

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15

Grey Wolf-Based Task Scheduling inVehicular Fog Computing Systems.
Taghizadeh, Maryam ; Ahmadi, Mahmood
Journal of Computing & Security; Sep2024, Vol. 11 Issue 2, p41-59, 19p

GREY Wolf Optimizer algo... INTELLIGENT transportati... VEHICLES COST ALGORITHMS
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16

Energy-Efficient Distributed Computing Systems
Albert Y. Zomaya, Editor ; Young Choon Lee, Editor ; Albert Y. Zomaya ; et al.

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17

Context-Aware Data and Task Placement in Edge Computing Environments
Breitbach, Martin ; Schafer, Dominik ; Edinger, Janick ; et al.
2019 IEEE International Conference on Pervasive Computing and Communications (PerCom Pervasive Computing and Communications (PerCom), 2019 IEEE International Conference on. :1-10 Mar, 2019

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18

Real‐world Applications of Scheduling Technologies
Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems. Dec 08, 2025

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19

Task scheduling in cloud computing based on meta-heuristic techniques: A review paper.
Al-Arasi, Rasha A. ; Saif, Anwar
EAI Endorsed Transactions on Cloud Systems; 2020, Vol. 6 Issue 17, p1-19, 19p

CLOUD computing METAHEURISTIC algorithms DISTRIBUTED computing VIRTUAL machine systems SOFTWARE as a service
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20

Resource Management and Security Challenges for Deploying and Adapting Large Language Models in Fog Computing
Jebli, Achref ; Fourati, Rahma ; Drira, Fadoua
2025 IEEE 9th Forum on Research and Technologies for Society and Industry (RTSI) Research and Technologies for Society and Industry (RTSI), 2025 IEEE 9th Forum on. :174-179 Aug, 2025

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