Energy conservation is one of the most challenging problems in cloud datacenters. It is
produced using fossil fuels, especially coal, gas, orimulsion and petroleum, and the cost of …

As a concept to enhance and extend cloud-computing capabilities, edge computing aims to
provide Internet-based services in the close proximity to users by placing IT infrastructures at …

With the growth and expansion of cloud data centers, energy consumption has become an
urgent issue for smart cities system. However, most of the current resource management …

The high energy consumption of cloud data centers is one of the key issues restricting the
future development of the cloud computing industry. For two-tier virtualized data centers in …

This paper presents an analysis of the scalability and performance of an edge cloud system
designed to support latency-sensitive applications. A system model for geographically …

The emergence of the Industrial Internet of Things (IIoT) has paved the way to real-time big
data storage, access, and processing in the cloud environment. In IIoT, the big data …

The users of Cloud computing over the last years are constantly increasing since it has
become a very important technology in the computing landscape. It provides client …

In edge computing, scheduling heterogeneous workloads with diverse resource
requirements is challenging. Besides limited resources, the servers may be overwhelmed …

The rapid growth in the number of interconnected devices on the Internet (referred to as the
Internet of Things—IoT), along with the huge volume of data that are exchanged and …

Existing approaches for allocating resources on edge environments are inefficient and lack
the support of heterogeneous edge devices, which in turn fail to optimize the dependency on …