… [87] FM Talaat, SH Ali, AI Saleh, and HA Ali, “Effective load balancing strategy (ELBS) for
real-time fog computing environment using fuzzy and probabilistic neural networks,” J. Netw. …

… Abstract—As an extension of the cloud, a fog computing … a fuzzy logic based task scheduling
algorithm to divide the tasks between the fog and cloud layers in a fog-cloud computing …

… in fog computing. Hence, this paper reviews the current research used to guarantee QoS in
fog computing… The fuzzy weighted queuing control method in an adaptive edge router is used …

… To mitigate the subjectivity and the effect of crisp values, fuzzy sets could be used in group
decision settings (Zineddine, 2011). In this study, a fuzzy logic model is adopted to deal with …

… a modern architecture called fog computing, In which data … fog computing. Solving the
resource allocation challenge leads to increased profits, economic savings, and optimal computing …

… gateway selection strategy based on a hybrid Multi-criteria Decision-Making (MCDM)
optimization model to avoid overwhelming the fog–cloud network in fog computing architecture. …

… To address these issues, a computing paradigm that takes place closer to the vehicles is
needed. Fog computing is physically located somewhere between the edge layer and cloud …

… -based system to assess the data processing capability of fog layer in Software Defined …
fog computing is appropriate and satisfies certain needs in terms of data processing. The fuzzy-…

… The basic difference between the fog computing and classical approach is that fog uses …
are encountered during fog computing deployment. Efficient fog resource management can offer …

… a modern architecture called fog computing, In which data … fog computing. Solving the
resource allocation challenge leads to increased profits, economic savings, and optimal computing …