The task scheduling in a heterogeneous environment is one of the most important issues to
be considered by the platform providers. The efficient use of all available computing devices …

Heterogeneous systems composed of multiple CPUs and GPUs are progressively attractive
as platforms for high performance computing because of their higher performance …

How to design efficient scheduling strategy for different environments is a hot topic in cloud
computing. In the private cloud of computer science labs in universities, there are several …

Efficient use all of the available computing devices is an important issue for heterogeneous
computing systems. The ability to choose a CPU or GPU processor for a specific task has a …

In recent years, Kubernetes (K8s) has become a dominant resource management and
scheduling system in the cloud. In practical scenarios, short-running cloud workloads are …

Heterogeneous computer systems are becoming mainstream due to their disparate
processing and performance capabilities. These systems consist of different types of …

Kubernetes is one of the most widely used tool in cloud computing environments. It m
anages POD as a basic operational unit, providing a isolated environments through …

This paper presents a novel approach for scheduling the workloads in a Kubernetes cluster,
which are sometimes unequally distributed across the environment or deal with fluctuations …

This article proposes a customized Kubernetes scheduling algorithm to improve resource
utilization of nodes in a cluster. The algorithm is optimized over the default algorithm. The …

Computer clusters, cloud computing and the exploitation of parallel architectures and
algorithms have become the norm when dealing with scientific applications that work with …