Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Abstract Today, Mobile Cloud Computing (MCC) alone can no longer respond to the
increasing volume of data and satisfy the necessary delays in real-time applications. In …

One of the most critical concerns of cloud service providers is balancing renewable and
fossil energy consumption. On the other hand, the policy of organizations and governments …

Today, the use of fog computing is increasing due to the development of delay-sensitive
applications in areas such as e-health, agriculture, and smart city management. In such …

This study deals with solving the Internet of Things (IoT) Service Placement Problem (SPP)
in fog computing environment using metaheuristic approaches. Basically, SPP is a non …

Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …

Over the past few years, there has been a consistent increase in the number of Internet of
Things (IoT) devices utilizing Cloud services. However, this growth has brought about new …

The primary aim of Virtual Machine Placement (VMP) is the mapping of Virtual Machines
(VMs) to Physical Machines (PMs), such that the PMs may be utilized to their maximum …

Due to the growing demand for delay-sensitive applications, partial offloading is very
important in fog/cloud computing. In partial offloading, different parts of each task are run in …

In a fog-cloud environment, the tasks submitted by end-users are first sent to intermediate
nodes called fog nodes. If the computing resources in fog nodes are insufficient, the nodes …