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Computation offloading services in Fog/Edge Computing (FEC) environments are an interesting technique for solving resource constraints on mobile devices through low latency and proximity capabilities, requiring a cost model for their commercialization. In this paper, we constructs a three-stage cooperative system prototype between mobile devices and fog/edge layers and cloud data centers, and proposes matching algorithm based on communication, offloading mechanism, and cost between them. The matching algorithm for offloading uses the basic configuration information required by the MD based on the preference rating of MD and resource specifications of ES, and it is implemented to suit the characteristics of the application service through correction of the matching context. In addition, this paper demonstrates the validity and justification of cost-based offloading services through 1:N and N:M matching experiments of MD and ES, providing great potential for application service processing in mobile devices. [ABSTRACT FROM AUTHOR]

Computation offloading technology in an FEC (Fog/Edge Computing) environment requires the process of transmitting code/data and execution results from a mobile device (MD) to an edge server (ES). In this case, a mobile agent may be used for efficient transmission of code/data. However, the mobile agent migrates with task processing commands and execution results at the time of migration, which can cause time delays and reliability degradation problems due to increased size. This paper proposes a method of securing the applicability and reliability of the mobile agent system by implementing migration algorithm and a method of reducing the weight of the mobile agent for computation offloading. In addition, we demonstrate the legitimacy of the proposed method based on the results of the migration and mounting module execution experiment of the mobile agent equipped with code/data in the FEC environment and the comparative analysis experiment of the migration time according to the size of the mobile agent. [ABSTRACT FROM AUTHOR]

We propose a two-tier cooperative computing system comprised of a mobile device and an edge server for partial offloading of multi-branch structures in Fog/Edge Computing environments in this paper. The proposed system includes an algorithm for splitting up application service processing by using reconstructive linearization techniques for multi-branch structures, as well as an optimal collaboration algorithm based on partial offloading between mobile device and edge server. Furthermore, we formulate computation offloading and CNN layer scheduling as latency minimization problems and simulate the effectiveness of the proposed system. As a result of the experiment, the proposed algorithm is suitable for both DAG and chain topology, adapts well to different network conditions, and provides efficient task processing strategies and processing time when compared to local or edge-only executions. Furthermore, the proposed system can be used to conduct research on the optimization of the model for the optimal execution of application services on mobile devices and the efficient distribution of edge resource workloads. [ABSTRACT FROM AUTHOR]