The three articles proposed different approaches to improve elasticity and resource scaling in cloud computing. Islam et al. defined metrics to quantify elasticity for cloud consumers. Nguyen et al. designed an elastic resource scaling system using prediction to allocate resources proactively based on future needs. Han et al. developed an approach to detect and analyze bottlenecks in multi-tier cloud applications to enable elastic scaling. The articles aim to enhance cloud elasticity through metrics, predictive allocation, and bottleneck analysis for improved resource utilization and user experience.