A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty

arXiv:2403.11259v1 Announce Type: new
Abstract: Placing applications in mobile edge computing servers presents a complex challenge involving many servers, users, and their requests. Existing algorithms take a long time to solve high-dimensional problems with significant uncertainty scenarios. Therefore, an efficient approach is required to maximize the quality of service while considering all technical constraints. One of these approaches is machine learning, which emulates optimal solutions for application placement in edge servers. Machine learning models are expected to learn how to …

abstract algorithms application applications arxiv challenge computing cs.ai cs.dc cs.lg edge edge computing eess.sp mobile mobile edge computing placement servers solution solve type uncertainty