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- W4386714924 abstract "Abstract Fog computing has become an effective platform for computing delay‐sensitive IoT tasks. However, the increased scalability of IoT devices () makes it difficult for fog nodes to perform better. Volunteer computing (VC) has emerged as a supportive technology in which resource‐capable s, such as computers and laptops, share their idle resources to compute the IoT tasks. However, in VC‐based approaches, improper selection of volunteer nodes (VNs) may result in an increased failure rate and delay. To address these challenges, this work proposes a Smart Admission Control strategy utilizing volunteer‐enabled Fog‐Cloud computing (SAC‐VFC). The VNs are selected based on grey TOPSIS ranking. The incoming tasks are classified based on priority and delay and then scheduled using the Improved Jellyfish Algorithm (IJFA). Smart gateway (SGW) and fog manager (FM) act as mediators for allocating tasks among voluntary, fog, and cloud resources. FM performs a similarity‐based clustering of fog nodes using the enhanced Fuzzy C Means clustering (EFCM) algorithm to manage resources. Simulation study suggests the superior performance of SAC‐VFC over peers under comparison in terms of average delay, average makespan, success rate of tasks and tasks satisfying the deadline metrics." @default.
- W4386714924 created "2023-09-14" @default.
- W4386714924 creator A5020278329 @default.
- W4386714924 creator A5023206214 @default.
- W4386714924 date "2023-09-12" @default.
- W4386714924 modified "2023-10-18" @default.
- W4386714924 title "Smart admission control strategy utilizing volunteer‐enabled fog‐cloud computing" @default.
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- W4386714924 doi "https://doi.org/10.1002/cpe.7908" @default.
- W4386714924 hasPublicationYear "2023" @default.
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