... and adaptive resource scheduling. It proposes a dual-time-scale strategy to enhance resource allocation, reduce service scheduling delays and ensure load balancing across network slices. Design/methodology/approach This study adopts a dual-time-scale approach for network slicing resource prediction...

..., this study proposes the multi-queue Lyapunov-guided deep reinforcement learning (MQ-LyDRL) method to minimize task processing delay by jointly optimizing task offloading and resource allocation. This method innovatively integrates Lyapunov optimization with DRL . Specifically, by constructing Lyapunov...

...Wenlong Shi; Heng Li; Yaozong Yang; Yihan Zuo; Ying Chen Purpose The authors study the problem of task offloading and resource allocation in a multi-access edge computing (MEC) system consisting of high altitude platform (HAP) and multiple internet of things devices (IoTDs) to minimize the total...

... templates required by users and the distance from users to distinguish various consumption levels and classify the testing result. Based on four different groups satisfying reasonable resource allocation, the cost was studied. The work focuses on the unpredictable movement within the test range...

...Masoud Nosrati; Ronak Karimi Purpose This paper aims to provide a method for media resource allocation in Cloud systems for supporting green computing policies, as well as attempting to improve the overall performance of system by optimizing the communication latencies. Design/methodology...