A disruptive technology fundamentally transforming the way that computing services are
delivered, cloud computing offers information and communication technology users a new …

Large‐scale scientific problems are often modeled as workflows. The ever‐growing data
and compute requirements of these applications has led to extensive research on how to …

Digital twin (DT) technology has recently gathered pace in the engineering communities as it
allows for the convergence of the real structure and its digital counterpart throughout their …

Data centers in public, private, and hybrid cloud settings make it possible to provision virtual
machines (VMs) with unprecedented flexibility. However, purchasing, operating, and …

Virtualization technology is the backbone of cloud systems, the fastest-growing energy
consumers, globally. It holds an imperative position in the resource management area by …

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 …

Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired
workload balancing by pursuing optimal utilization of available resources. At the same time …

Workflow scheduling in scientific computing systems is one of the most challenging
problems that focuses on satisfying user-defined quality of service requirements while …

Scheduling is essentially a decision-making process that enables resource sharing among a
number of activities by determining their execution order on the set of available resources …

Schedulers for cloud computing determine on which processing resource jobs of a workflow
should be allocated. In hybrid clouds, jobs can be allocated on either a private cloud or a …