Integrating Edge Computing with Cloud Services for Enhanced Application Performance
Abstract
The integration of edge computing with cloud services represents a significant advancement in enhancing application performance across various domains. Edge computing brings computation and data storage closer to the location where it is needed, thereby reducing latency, optimizing bandwidth usage, and improving the responsiveness of applications. Meanwhile, cloud services provide scalable resources, extensive storage capabilities, and advanced analytics that can complement edge computing. This paper explores the synergistic benefits of combining edge computing with cloud services, including how this integration can address the challenges of latency, data management, and real-time processing. Through case studies and performance evaluations, we demonstrate how leveraging edge computing for localized processing, while utilizing cloud resources for comprehensive analysis and scalability, leads to enhanced overall application performance. The findings highlight the effectiveness of this hybrid approach in various scenarios, such as IoT deployments, real-time analytics, and large-scale data processing, offering valuable insights for optimizing application infrastructure and achieving operational excellence.
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