The task scheduling timeliness problem on satellite networks is crucial to realizing the
Space-Terrestrial Integrated Network (STIN). Traditional methods interpret the satellite …

Abstract The employment of Low-Power Wide Area Networks (LPWANs) has proven quite
beneficial to the advancement of the Internet of Things (IoT) paradigm. The utilization of low …

Auto-scaling is a key feature in clouds responsible for adjusting the number of available
resources to meet service demand. Resource pool modifications are necessary to keep …

Scheduling is important in Edge computing. In contrast to the Cloud, Edge resources are
hardware limited and cannot support workload-driven infrastructure scaling. Hence …

With the ever-growing reliance on Artificial Intelligence (AI) across diverse domains, there is
an increasing concern surrounding the possibility of biases and unfairness inherent in AI …

Methods and systems for scheduling jobs to many core nodes in a cluster include selecting
a job to run according to the jobs wait time and the job's expected execution time; sending …

Energy efficiency is a major concern in modern high performance computing (HPC) systems
and a power-aware scheduling approach is a promising way to achieve that. While there are …

An important feature of most cloud computing solutions is auto-scaling, an operation that
enables dynamic changes on resource capacity. Auto-scaling algorithms generally take into …

This paper proposes to solve the task scheduling problem in cloud computing by using a
load balance aware genetic algorithm (LAGA) with Min-min and Max-min methods. Task …

The increasing capabilities of mobile devices (MDs) enable users to run desktoplevel
applications and tasks anywhere. However, the local execution of resource-demanding …