Paper Contents
Abstract
Modern web browsers often rely on time-based heuristics to manage inactive tabs by discarding or suspending them to save memory. However, these strategies often overlook the CPU overhead caused by reloading discarded tabs when users return to them, which can result in higher resource consumption than keeping the tab inactive. This paper addresses the theoretical approach of the trade-off between memory optimization and CPU usage by proposing a dynamic tab management algorithm that optimizes the discard timing based on real-time cost-benefit analysis. Instead of a fixed time interval, the proposed solution considers both the CPU cost of reloading and the CPUmemory cost of keeping tabs inactive, adapting discard decisions to minimize overall resource consumption. This approach aims to balance efficient memory usage while reducing CPU spikes, improving browser performance and energy efficiency.This research explores the limitations of current browser tab management algorithms and introduces a novel optimization that can be applied to modern browsers, potentially leading to more efficient resource management for better user experiences.
Copyright
Copyright © 2024 Satyam Tyagi. This is an open access article distributed under the Creative Commons Attribution License.
