Cloud Computing Services for Distributed Mobile Devices

Abstract

The advantages of cloud computing and mobile computing are combined in mobile cloud computing (MCC), which provides mobile devices with ubiquitous access to services, increased processing power, and storage capacity. In conventional cloud computing models, mobile devices use the internet to access centralized cloud resources. However, centralized systems have limitations in terms of responsiveness and efficiency as mobile apps become more complex and require real-time processing, faster performance, and lower latency. In response to these issues, a paradigm known as Distributed Mobile Cloud Computing (DMCC) has surfaced, in which cloud resources are dispersed over several sites, frequently nearer to the end users. This distributed architecture optimizes bandwidth utilization, lowers latency, and improves service availability by offloading processing activities from mobile devices via edge computing, fog computing, and cloudlets. DMCC makes it possible for resource-intensive applications to function well on mobile platforms, including augmented reality (AR), real-time data analytics, and sophisticated biometric authentication. Scalability, fault tolerance, and energy efficiency are promoted by the architecture's distribution of computational activities over a network of nearby and distant cloud resources. But it also brings with it additional difficulties including system complexity, effective resource allocation, and security threats. The basic ideas, design, and uses of distributed mobile cloud computing services are covered in this paper. It highlights the potential of DMCC to transform next-generation mobile applications and services by examining important technological issues and providing insights into new solutions.