Cloud computing being an integral part of today's technical advancements, still faces issues
regarding resource allocation, task scheduling, communication latency, etc. To address …

Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …

IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

Scheduling in multiprocessor computing systems is experiencing prolific challenges in
datacenters due to the alarmingly growing need for dynamic on-demand resource …

Load balancing in the cloud is a strategy that assures that the overall performance of large-
scale computing systems can be improved by ensuring a uniform allocation of local …

With the voluminous information being produced by the Internet of Things (IoT) smart
gadgets, the consumers with their countless service requests are also growing rapidly. As …

Nowadays, cities are intended to change to a smart city. According to recent studies, the use
of data from contributors and physical objects in many cities play a key element in the …

Scheduling tasks in the cloud system is the main issue that needs to be addressed in order
to improve customer satisfaction and system performance. This paper proposes …

Dynamic workloads with varying parameters are delivered to data centers to be scheduled
on virtual machines (VMs). These unreliable, inconsistent, shockingly rising workloads with …

The ever-increasing use of Internet of Things (IoT) devices like smartphones, PDAs,
smartwatches, etc. by the users has also drastically increased the volume of data that needs …