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Zare, Mansoureh, Sola, Yasser Elmi, Hasanpour, Hesam (2024) Imperialist competitive based approach for efficient deployment of IoT services in fog computing. Cluster Computing, 27 (1) 845-858 doi:10.1007/s10586-023-03985-0

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Reference TypeJournal (article/letter/editorial)
TitleImperialist competitive based approach for efficient deployment of IoT services in fog computing
JournalCluster Computing
AuthorsZare, MansourehAuthor
Sola, Yasser ElmiAuthor
Hasanpour, HesamAuthor
Year2024 (February)Volume27
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10586-023-03985-0Search in ResearchGate
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Mindat Ref. ID17225957Long-form Identifiermindat:1:5:17225957:6
GUID0
Full ReferenceZare, Mansoureh, Sola, Yasser Elmi, Hasanpour, Hesam (2024) Imperialist competitive based approach for efficient deployment of IoT services in fog computing. Cluster Computing, 27 (1) 845-858 doi:10.1007/s10586-023-03985-0
Plain TextZare, Mansoureh, Sola, Yasser Elmi, Hasanpour, Hesam (2024) Imperialist competitive based approach for efficient deployment of IoT services in fog computing. Cluster Computing, 27 (1) 845-858 doi:10.1007/s10586-023-03985-0
In(2024, February) Cluster Computing Vol. 27 (1) Springer Science and Business Media LLC

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Zare, Mansoureh, Elmi Sola, Yasser, Hasanpour, Hesam (2023) An autonomous planning model for solving IoT service placement problem using the imperialist competitive algorithm. The Journal of Supercomputing, 79 (11) 12671-12690 doi:10.1007/s11227-023-05172-9
Ahamad, Rayees, Mishra, Kamta Nath (2024) Hybrid approach for suspicious object surveillance using video clips and UAV images in cloud-IoT-based computing environment. Cluster Computing, 27 (1) 761-785 doi:10.1007/s10586-023-03977-0
Faraji-Mehmandar, Mohammad, Ghobaei-Arani, Mostafa, Shakarami, Ali (2025) A cost-aware IoT application deployment approach in fog computing. Cluster Computing, 28 (3). doi:10.1007/s10586-024-04873-x
Abedpour, Kimia, Hosseini Shirvani, Mirsaeid, Abedpour, Elmira (2024) A genetic-based clustering algorithm for efficient resource allocating of IoT applications in layered fog heterogeneous platforms. Cluster Computing, 27 (2) 1313-1331 doi:10.1007/s10586-023-04005-x
Tiwari, Vaibhav, Pandey, Chandrasen, Sinha Roy, Diptendu (2024) A forecasting-based approach for optimal deployment of edge servers in 5G networks. Cluster Computing, 27 (5) 5721-5739 doi:10.1007/s10586-023-04250-0
Dogani, Javad, Yazdanpanah, Ali, Zare, Arash, Khunjush, Farshad (2024) A two-tier multi-objective service placement in container-based fog-cloud computing platforms. Cluster Computing, 27 (4) 4491-4514 doi:10.1007/s10586-023-04183-8
Tavousi, Farhad, Azizi, Sadoon, Ghaderzadeh, Abdulbaghi (2022) A fuzzy approach for optimal placement of IoT applications in fog-cloud computing. Cluster Computing, 25 (1) 303-320 doi:10.1007/s10586-021-03406-0
Kashyap, Vijaita, Ahuja, Rakesh, Kumar, Ashok (2024) A hybrid approach for fault-tolerance aware load balancing in fog computing. Cluster Computing, 27 (4) 5217-5233 doi:10.1007/s10586-023-04219-z
Rekha, , Garg, Ritu (2024) K-LionER: meta-heuristic approach for energy efficient cluster based routing for WSN-assisted IoT networks. Cluster Computing, 27 (4) 4207-4221 doi:10.1007/s10586-024-04280-2
Wen, Bo, Li, Shanzhi, Motevalli, Hooman (2024) Exploitation of healthcare IoT–fog-based smart e-health gateways: a resource optimization approach. Cluster Computing, 27 (8). doi:10.1007/s10586-024-04502-7
Allaoui, Takwa, Gasmi, Kaouther, Ezzedine, Tahar (2024) Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques. Cluster Computing, 27 (8). doi:10.1007/s10586-024-04518-z
 
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