We present a comprehensive characterization of task allocation techniques in data centers
based on information theory, focusing specifically on Shannon Entropy and Statistical …

With the rapid advancement of 5G mobile networks and Internet of Things technology, an
increasing number of data-intensive applications are generating massive amounts of …

Workload characterization and subsequent prediction are significant steps in maintaining
the elasticity and scalability of resources in Cloud Data Centers. Due to the high variance in …

To limit the impact of datacenters on climate change various sustainable and effective
solutions are being developed. The Datazero2 project aims to design datacenters running …

In today's era, many types of Artificial Intelligence (AI)-based applications are being
developed to fulfill a variety of needs, for example, counting objects recorded using a …

This study addresses the knowledge gap in request-level storage trace analysis by
incorporating workload characterization, compression, and synthesis. The aim is to better …