Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Today's large-scale parallel workflows are often processed on heterogeneous distributed
computing platforms. From an economic perspective, computing resource providers should …

In recent years, Cloud computing has been developed and become the foundation of a wide
range of applications. It allows users to access a catalog of standardized services and …

In cloud computing, resource provisioning is a key challenging task due to dynamic resource
provisioning for the applications. As per the workload requirements of the application's …

Heterogeneous distributed computing systems are becoming more and more common to
process practical applications in many embedded systems, where energy efficiency is very …

Cloud computing has become an important paradigm in which scalable resources such as
CPU, memory, disk and IO devices can be provided to users to remotely process their …

This paper presents a hybrid approach based Binary Artificial Bee Colony (BABC) and
Pareto Dominance strategy for scheduling workflow applications considering different …

The increasing size of Deep Neural Networks (DNNs) has necessitated the use of multiple
GPUs to host a single DNN model, a practice commonly referred to as model parallelism …

The continuous advancement of cloud computing technology has driven the vigorous
development of cloud data centers. This manifests itself not only in increasing numbers, but …

Vehicular edge computing is a promising new computing paradigm that has lower service
latency and higher bandwidth than cloud computing. However, the geographical dispersion …