Integrating Cloud Computing with Big Data: Novel Techniques for Fault Detection and Secure Checker Design

Abstract

A combination of the assistance of Concurrent Error Detection (CED) and Scalable Error Detecting Codes (SEDC), a state-of-the-art fault detection system designed for cloud computing and large data environments, is presented in this work. Beyond conventional defect detection techniques such as the Berger Code Checker and m-out-of-2m Code, the suggested system achieves much better area use, latency, and power efficiency. The SEDC-based solution minimises the requirement for resource-intensive software-based fault tolerance solutions by providing effective error detection and correction at the hardware level. Large data applications and fault-tolerant cloud computing benefit significantly from this increased system efficiency, scalability, and reliability, establishing the SEDC approach as a solid option.