Edge Computing in Network-based Systems: Enhancing Latency-sensitive Applications
Keywords:
Edge Computing, Network-based Systems, Latency-sensitive Applications, Latency Optimization, Real-time Processing, Distributed Computing, Edge NetworksAbstract
With its vast improvements in latency-sensitive applications like industrial automation, healthcare diagnostics, and autonomous vehicles, edge computing is transforming network-based systems. This study aims to investigate the advantages, difficulties, and prospective applications of edge computing—in particular, its ability to lower latency and boost efficiency. The study thoroughly analyzes secondary data sources to highlight essential conclusions such as significant latency reduction, the need for 5G integration, advances in AI and machine learning, and solid security measures. The challenges mentioned include scalability, interoperability, and the requirement for sustainable practices. The policy implications include the necessity of standardization initiatives, funding for cutting-edge security measures, and incentives for environmentally friendly edge computing. The study concludes that although edge computing has a lot of promise, its widespread adoption depends on how these issues are resolved through creative solutions and supporting regulations. The findings highlight the revolutionary effect of edge computing on contemporary network-based systems and offer insightful information on the state of the industry and emerging trends.
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