Dynamic Resource Allocation for Enhanced User Experience in Immersive Android Applications

Immersive applications (VR/AR) on Android platforms impose unprecedented demands on mobile system-on-chips, creating unique resource management challenges that conventional approaches fail to address adequately. This article presents a design-focused proposal for a Dynamic Resource Allocator (DRA), an intelligent system component engineered specifically for immersive Android platforms. While traditional resource management systems prioritize battery efficiency and reactive load response, immersive applications require consistent frame rates and minimal latency to prevent cybersickness and maintain user comfort. The proposed DRA architecture employs proactive monitoring, predictive modeling, and coordinated control across CPU, GPU, display, and thermal subsystems to maintain perceptual stability under variable load conditions. By dynamically allocating resources based on predicted needs and user experience targets rather than conventional computing metrics, the DRA aims to bridge the gap between hardware capabilities and human perceptual requirements. The article examines the limitations of current resource management approaches, details the DRA's architectural components and allocation strategies, addresses implementation challenges, and explores future research directions including on-device machine learning, biometric feedback integration, and hardware-software co-design opportunities for immersive computing platforms.