Optimizing Load Balancing for Secure Real-Time Analytics in Edge Computing Environments with AI
Keywords:
AI, edge computing, load balancing, real-time analyticsAbstract
Real-time data processing and networked devices transformed computing. Local data processing reduces edge computing latency and boosts efficiency. Edge networks are dynamic, resource-constrained, and security-sensitive, making load balancing problematic. AI changes load balancing, performance, and real-time analytics security. Edge computing improves load balancing for secure real-time analytics with AI. This article discusses significant AI approaches, their applications, and the challenges of incorporating them into present infrastructures.
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