Recent advances in sensor networks and the Internet of Things (IoT) technologies have led
to the gathering of an enormous scale of data. The exploration of such huge quantities of …

The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Nowadays, more and more companies migrate business from their own servers to the cloud.
With the influx of computational requests, datacenters consume tremendous energy every …

Federated learning is promising in enabling large-scale machine learning by massive
mobile devices without exposing the raw data of users with strong privacy concerns. Existing …

With the evolution of Internet and extensive usage of smart devices for computing and
storage, cloud computing has become popular. It provides seamless services such as e …

In the age of big data, companies tend to deploy their services in data centers rather than
their own servers. The demands of big data analytics grow significantly, which leads to an …

Cloud providers leverage live migration of virtual machines to reduce energy consumption
and allocate resources efficiently in data centers. Each migration decision depends on three …

In recent years, we have witnessed the compelling application of the Internet of Things (IoT)
in our daily life, ranging from daily living to industrial production. On account of the …

As the scale of the geo-distributed cloud increases and the workflow applications become
more complex, the system operation is more likely to cause the waste of resources and …

One of the most challenging problems in cloud datacenters is the degradation of
performance and energy efficiency due to the overutilization of hosts and their exposition to …