Intelligent optimization of computing task management in an Edge environment

The advent of Mobile Edge Computing (MEC) offers significant benefits in terms of reduced latency and improved throughput for distributed applications and services. However, the integration of streaming services in these frameworks faces major challenges, particularly in terms of security, due to computational and processing limitations. In this context where resources are deployed as close as possible to the edge network, guaranteeing streaming security poses serious challenges. The restricted computing capabilities of edge nodes make it difficult to perform complex security tasks while maintaining acceptable performance for real-time streaming. To address these challenges, distributed solutions leveraging Network Functions Virtualization (NFV) present themselves as promising options. In this paper, we aim to propose a distributed management solution leveraging NFV capabilities to improve the management of security task execution for streaming, while preserving overall performance. This solution is based on a process of allocation and orchestration of resources for security policies, using NFV Orchestrator (NFVO) nodes. In the evaluation phase, the proposed solution demonstrates that the NFVO-based allocation model demonstrated better performance compared to priority-based and heuristic allocation models.