Fog-cloud scheduling simulator for reinforcement learning algorithms
Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. Due to its decentralized architecture, fog computing offers low latency processing and ensures the preservation of information between the sourc...
| Main Authors: | Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati |
|---|---|
| Format: | Article |
| Published: |
Springer
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/108029/ |
Similar Items
Harnessing reinforcement learning in fog-cloud computing: challenges, insights, and future directions
by: Al-Hashimi, Mustafa, et al.
Published: (2024)
by: Al-Hashimi, Mustafa, et al.
Published: (2024)
Reinforcement learning based load balancing for fog-cloud computing systems: an optimization approach
by: Al-Hashimi, Mustafa, et al.
Published: (2023)
by: Al-Hashimi, Mustafa, et al.
Published: (2023)
Fog offloading and task management in IoT-fog-cloud environment: review of algorithms, networks, and SDN application
by: Rezaee, Mohammad Reza, et al.
Published: (2024)
by: Rezaee, Mohammad Reza, et al.
Published: (2024)
Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing
by: Saif, Faten A., et al.
Published: (2023)
by: Saif, Faten A., et al.
Published: (2023)
Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing
by: Saif, Faten Ameen Mohammed
Published: (2023)
by: Saif, Faten Ameen Mohammed
Published: (2023)
Multi-objectives firefly algorithm for task offloading in the edge-fog-cloud computing
by: A. Saif, Faten, et al.
Published: (2024)
by: A. Saif, Faten, et al.
Published: (2024)
Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment
by: Farid, Mazen, et al.
Published: (2020)
by: Farid, Mazen, et al.
Published: (2020)
A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
by: Farid, Mazen, et al.
Published: (2021)
by: Farid, Mazen, et al.
Published: (2021)
Development of an attendance system based on cloud / fog computing
by: Younis, Mohamed I., et al.
Published: (2020)
by: Younis, Mohamed I., et al.
Published: (2020)
Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System
by: Nwogbaga, Nweso Emmanuel
Published: (2023)
by: Nwogbaga, Nweso Emmanuel
Published: (2023)
Towards accelerated agent-based crowd simulation for Hajj and Umrah
by: Rahman, Abdur, et al.
Published: (2015)
by: Rahman, Abdur, et al.
Published: (2015)
A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing
by: Ramadhan, Mazen Farid Ebrahim, et al.
Published: (2020)
by: Ramadhan, Mazen Farid Ebrahim, et al.
Published: (2020)
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre
by: Samual, Joshua, et al.
Published: (2023)
by: Samual, Joshua, et al.
Published: (2023)
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
by: Nwogbaga, Nweso Emmanuel, et al.
Published: (2022)
by: Nwogbaga, Nweso Emmanuel, et al.
Published: (2022)
Efficient resource management for uplink scheduling in IEEE 802.16e standard
by: Abdul Rahiman, Amir Rizaan, et al.
Published: (2017)
by: Abdul Rahiman, Amir Rizaan, et al.
Published: (2017)
A cost aware commodity market approach for real-time workload in Hybrid cloud
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2015)
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2015)
An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud
by: Sa’ad, Suleiman, et al.
Published: (2021)
by: Sa’ad, Suleiman, et al.
Published: (2021)
Development of heuristic task scheduling algorithm in cloud computing
by: Diallo, Laouratou, et al.
Published: (2016)
by: Diallo, Laouratou, et al.
Published: (2016)
A new workload recognition strategy to improve the speed of resource provisioning in PaaS layer of cloud for real-time demands
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2016)
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2016)
Efficient multi-cloud storage using online dynamic replication and placement algorithms for online social networks
by: Aldailamy, Ali Y., et al.
Published: (2024)
by: Aldailamy, Ali Y., et al.
Published: (2024)
Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud
by: Aldailamy, Ali Y., et al.
Published: (2024)
by: Aldailamy, Ali Y., et al.
Published: (2024)
A priority based job scheduling algorithm in cloud computing
by: Shamsollah, Ghanbari, et al.
Published: (2012)
by: Shamsollah, Ghanbari, et al.
Published: (2012)
GPU-based optimization of pilgrim simulation for hajj and umrah rituals
by: Abdul Majid, Abdur Rahman Muhammad, et al.
Published: (2018)
by: Abdul Majid, Abdur Rahman Muhammad, et al.
Published: (2018)
Resourceful residual energy consumption in TDMA scheduling for IoT-based wireless sensor network
by: Rahiman, Amir Rizaan, et al.
Published: (2019)
by: Rahiman, Amir Rizaan, et al.
Published: (2019)
Cost-effective traffic scheduling for Cloud resource management
by: Shareef, Zayd Ashraf Najeeb, et al.
Published: (2015)
by: Shareef, Zayd Ashraf Najeeb, et al.
Published: (2015)
Adaptive multi-tenancy policy for enhancing service level agreement through resource allocation in cloud computing
by: Hussin, Masnida, et al.
Published: (2016)
by: Hussin, Masnida, et al.
Published: (2016)
An optimal tasks scheduling algorithm based on QoS in cloud computing network
by: Alhakimi, Mohammed Ameen Mohammed Abdo
Published: (2017)
by: Alhakimi, Mohammed Ameen Mohammed Abdo
Published: (2017)
A novel framework for identifying twitter spam data using machine learning algorithms
by: Maziku, Susana Boniphace, et al.
Published: (2020)
by: Maziku, Susana Boniphace, et al.
Published: (2020)
MATT: A Mobile Assisted Tense Tool for Flexible m-Grammar Learning Based on Cloud-Fog-Edge Collaborative Networking
by: Refat, Nadia, et al.
Published: (2020)
by: Refat, Nadia, et al.
Published: (2020)
Security and privacy for IoT and fog computing paradigm
by: Rauf, Abdul, et al.
Published: (2018)
by: Rauf, Abdul, et al.
Published: (2018)
Minimizing the cleaning cost in flash based storage sub-systems by proliferating the valid data copying process
by: Kasim, Hisyamuddin, et al.
Published: (2020)
by: Kasim, Hisyamuddin, et al.
Published: (2020)
Fuzzy logic-based algorithm resource scheduling for improving the reliability of cloud computing
by: Zavvar, Mohammad, et al.
Published: (2016)
by: Zavvar, Mohammad, et al.
Published: (2016)
Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
by: Alqaisy, Sarah Abdulrahman Shukur
Published: (2018)
by: Alqaisy, Sarah Abdulrahman Shukur
Published: (2018)
Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
by: Oke, Omotayo Patrick
Published: (2019)
by: Oke, Omotayo Patrick
Published: (2019)
OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
by: Alhakimi, Mohammed Ameen, et al.
Published: (2019)
by: Alhakimi, Mohammed Ameen, et al.
Published: (2019)
Minimizing The Garbage Collection Time In Flash Memory Using Efficient Data Allocation Scheme.
by: Rahiman, Amir Rizaan
Published: (2009)
by: Rahiman, Amir Rizaan
Published: (2009)
A feedback based prediction model for real time workload in a cloud
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2016)
by: Ghouchani, Babak Esmaeilpour, et al.
Published: (2016)
Fog computing, applications , security and challenges, review
by: Rahman, Gohar, et al.
Published: (2018)
by: Rahman, Gohar, et al.
Published: (2018)
HATS: HetTask scheduling
by: Koohi, Sina Zangbari, et al.
Published: (2022)
by: Koohi, Sina Zangbari, et al.
Published: (2022)
The impact of preventive fogging on entomological parameters in a university campus in Malaysia
by: Adnan, Ruhil Amal, et al.
Published: (2011)
by: Adnan, Ruhil Amal, et al.
Published: (2011)
Similar Items
-
Harnessing reinforcement learning in fog-cloud computing: challenges, insights, and future directions
by: Al-Hashimi, Mustafa, et al.
Published: (2024) -
Reinforcement learning based load balancing for fog-cloud computing systems: an optimization approach
by: Al-Hashimi, Mustafa, et al.
Published: (2023) -
Fog offloading and task management in IoT-fog-cloud environment: review of algorithms, networks, and SDN application
by: Rezaee, Mohammad Reza, et al.
Published: (2024) -
Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing
by: Saif, Faten A., et al.
Published: (2023) -
Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing
by: Saif, Faten Ameen Mohammed
Published: (2023)