Cloud computing has become a buzzword in the area of high performance distributed
computing as it provides on-demand access to shared pool of resources over Internet in a …

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

Cloud data centers provide services for an increasing number of applications. The virtual
machines (VMs) that perform the corresponding application tasks need to be allocated to …

Being intensively studied, visual tracking has seen great recent advances in either speed
(eg, with correlation filters) or accuracy (eg, with deep features). Real-time and high …

High energy consumption of cloud data centers is a matter of great concern. Dynamic
consolidation of Virtual Machines (VMs) presents a significant opportunity to save energy in …

Mobile-edge computing (MEC) enhances the capacities and features of mobile devices by
offloading computation-intensive tasks over wireless networks to edge servers. One …

Cloud can be defined as a new computing paradigm that provides scalable, on-demand,
and virtualized resources for users. In this style of computing, users can access a shared …

Virtual Machine (VM) consolidation provides a promising approach to save energy and
improve resource utilization in data centers. Many heuristic algorithms have been proposed …

Virtualization has become a key technology for simplifying service management and
reducing energy costs in data centers. One of the challenges faced by data centers is to …

In this paper, we propose the AVVMC VM consolidation scheme that focuses on balanced
resource utilization of servers across different computing resources (CPU, memory, and …