Mobile cloud computing architectures are a vital research area that focuses on designing efficient, scalable, and flexible frameworks for integrating mobile devices with cloud and edge resources. Research papers in this domain explore architectures that enable seamless offloading, data synchronization, task distribution, and service orchestration across heterogeneous devices and multi-tier infrastructures, including edge, fog, and cloud layers. Studies highlight centralized, decentralized, and hybrid architectural models aimed at reducing latency, improving Quality of Service (QoS), conserving energy on mobile devices, and enhancing scalability and reliability. Recent works also investigate the integration of software-defined networking (SDN), network function virtualization (NFV), and context-aware mechanisms to optimize resource utilization and support real-time mobile applications such as IoT, smart healthcare, autonomous vehicles, and augmented/virtual reality. Security- and privacy-aware architectural designs are increasingly emphasized to protect sensitive mobile and user data while maintaining system performance. Overall, research on mobile cloud computing architectures provides the foundational frameworks to enable adaptive, efficient, and secure mobile services in heterogeneous, dynamic, and resource-constrained environments.