The geospatial analysis provides high potential for modeling, understanding, and visualizing
artificial and natural ecosystems, utilizing big data analytics and the Internet of things as a …

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 …

In the era of global-scale services, organisations produce huge volumes of data, often
distributed across multiple data centres, separated by vast geographical distances. While …

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 …

Training large-scale artificial intelligence (AI) models demands significant computational
power and energy, leading to increased carbon footprint with potential environmental …

Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …

Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …

The use of renewable energy globally has shown to be one of the most promising strategies
to move towards sustainable development. Biomass has become one of the world's most …

Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …

With the rapid development and the widespread use of cloud computing in various
applications, the number of users distributed in different regions has grown exponentially …