Understanding the characteristics and patterns of workloads within a Cloud computing
environment is critical in order to improve resource management and operational conditions …

Resource management is one of the most challenging task in the cloud data center. These
challenges have raised from the dynamic nature and high uncertainty in the cloud …

Co-allocated workloads in a virtualized computing environment often have to compete for
resources, thereby suffering from performance interference. While this phenomenon has a …

The Dynamic Scalability of resources, a problem in Infrastructure as a Service (IaaS) has
been the hotspot for research and industry communities. The heterogeneous and dynamic …

The prevalence of server consolidation to capitalize on performance gains has seen various
vendors presenting their virtual solution as the best option. This therefore highlights the …

Cloud computing is an emerging research infrastructure that builds on the achievements of
different research areas, such as service-oriented architecture (SOA), grid computing, and …

Cloud-based machine learning tools for enhanced Big Data applications}‎,‎ where the main
idea is that of predicting the``\emph {next}''\emph {workload} occurring against the target …

Network Functions Virtualization (NFV) is a technology for running software-based functions
on commodity hardware, which can lead to cost savings and flexible functionality. However …

We propose Cloud-based machine learning tools for enhanced Big Data applications,
where the main idea is that of predicting the" next" workload occurring against the target …

Automation of malware analysis is a complex challenge faced by researchers due to the
growing number of unique malware samples. For this automation to succeed, the algorithm …