Software Quality in Edge Computing: Addressing Performance, Security, and Reliability Challenges
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Abstract
Modern computing experiences a transformation through edge computing because it consolidates data processing by the source which minimizes latency while accelerating real-time functionality. The challenges for ensuring software quality increase in edge environments because of distributed systems and restricted resources together with elevated security threats. This research investigates software quality elements in edge computing which consist of performance together with security and reliability traits. The analysis reveals the performance restrictions from limited computing resources which leads to recommendations for implementing load balancing alongside cache storage together with artificial intelligence optimization strategies. The research studies the security weaknesses which appear in edge networks and presents encryption strategies with zero-trust model deployments and blockchain implementations as efficient defensive methodologies. The study demonstrates how unreliable distributed architectures cause reliability problems and introduces defense strategies based on redundancy and predictive maintenance with fault-tolerant design as effective solutions. The results contribute crucial knowledge to developers and businesses while researchers benefit from these findings to establish preferred directions which include artificial intelligence security analytics and regulatory elements. The successful deployment of edge computing requires proper solutions to handle these underlying issues to enable the realization of its complete capabilities and maintain secure software systems.
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