Abstract In cloud computing, Virtual Machine (VM) placement is a critical operation which is
conducted as part of the VM migration and aimed to find the best Physical Machine (PM) to …

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex
problem due to the presence of heterogeneous application (MapReduce, content delivery …

In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …

In this article, an effective metaheuristic algorithm named multi-trial vector-based differential
evolution (MTDE) is proposed. The MTDE is distinguished by introducing an adaptive …

With the rapid increase in the development of the Internet of Things and 5G networks in the
smart city context, a large amount of data (ie, big data) is expected to be generated, resulting …

Over the last decade, there has been an increasing interest in big data research, especially
for health services applications. The adoption of the cloud computing and the Internet of …

Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …

In recent years, the concept of cloud computing has been gaining traction to provide
dynamically increasing access to shared computing resources (software and hardware) via …

The virtual machine (VM) allocation problem is one of the main issues in cloud data centers.
This article proposes a new metaheuristic method to optimize joint task scheduling and VM …

Nowadays, cloud computing is known as an internet-based modern area among emerging
technologies that brings up an environment, in which computing resources such as …