A Comprehensive Approach of SA Based Software Deployment Reliability Estimation in Neural Networks

Software architecture (SA) has been widely advocated as an effective abstraction for modeling, implementing, and evolving complex software systems such as those in distributed, decentralized, heterogeneous and pervasive environments. We intend to investigate two problems related to the domain of those environments: software deployment and reliability. Though many approaches for Architecture-based reliability research, little work has been done in incorporating software deployment into SA based reliability estimation. This paper presents a new comprehensive approach of reliability estimation considering software deployment in neural networks. Additionally, we explain software component replica and different software component deployment architectures in neural networks.