چکیده مقاله
Currently, the migration of a fog service FC is considered to be an efficient approach for reducing the distance between the system and the user Multiple simulators are available for analyzing the behavior and performance of applications in an FC environment However, it is not feasible to evaluate service migration approaches in order to promote mobility Four algorithms, namely Genetic Algorithm GA , Grey Wolf Optimization GWO , Coot Bird Natural Life Model COOT , and Computer Science CS , are used to analyze resource allocation in IoT devices The novelty of this study resides in the capacity of the proposed algorithms to effectively decrease both the overall transmission time and energy usage The proposed models demonstrated satisfactory performance in minimizing the makespan, energy consumption, and transmission time GA and CS exhibited the most exceptional performance in this aspect Subsequent research endeavors can propose a more streamlined framework for reducing latency and optimizing energy usage
کلیدواژهها
نویسندگان
Kasra Rashidi
مقاله The Different Effective Algorithms Based On Fog Computing For Migration Problems
شیوه ارجاع
Rashidi, Kasra,1403,The Different Effective Algorithms Based On Fog Computing For Migration Problems,2nd international conference on engineering and information technology
ارائهشده در
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