Automation in Distributed Shared Memory Testing for Multi-Processor Systems

Abstract

This research paper explores the critical domain of automated testing for Distributed Shared Memory (DSM) systems in multi-processor environments. As the complexity of multi-core and distributed computing systems continues to grow, ensuring the reliability and performance of DSM implementations becomes increasingly challenging. This study investigates various automated testing strategies, including test generation techniques, fault injection mechanisms, and concurrency detection methods. It also examines automated test execution frameworks, real-time monitoring solutions, and advanced verification and validation techniques. The research highlights the challenges faced in DSM testing, such as scalability issues and non-determinism, and proposes future directions for research, including the integration of artificial intelligence and cloud-based testing platforms. The findings of this study contribute to the advancement of DSM testing methodologies and provide valuable insights for both researchers and practitioners in the field of distributed systems and parallel computing.