February 2022 - 38 articles
This work presents a distance-based agglomerative clustering algorithm for inferential monitoring based on end-to-end measurements obtained at the network edge. In particular, we extend the bottom-up clustering method by incorporating the use of nearest neighbors (NN) chains and reciprocal nearest neighbors (RNNs) to infer the topology of the examined network (i.e., the logical and the physical routing trees) and estimate the link performance characteristics (i.e., loss rate and jitter). Going beyond network monitoring in itself, we design and implement a tangible application of the proposed algorithm that combines network tomography with change point analysis to realize performance anomaly detection. The experimental validation of our ideas takes place in a fully controlled large-scale testbed over bare-metal hardware. View this paper.
In this study, a simple yet effective framework is proposed to characterize fine-grained in-app user activities performed on mobile applications using a convolutional neural network (CNN). The proposed framework uses a time window-based approach to s...
Environmental awareness refers to the understanding of the importance of protecting the natural environment. Digital technologies can play an important role in raising awareness of environmental issues. In view of this compelling need, this paper pre...
Flow scheduling in Data Center Networks (DCN) is a hot topic as cloud computing and virtualization are becoming the dominant paradigm in the increasing demand of digital services. Within the cost of the DCN, the energy demands associated with the net...
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out the monitoring and control of numerous things in cyber-physical systems (CPS). By leveraging machine learning (ML) and deep learning (DL) techniques to anal...
The combined adoption of Agile and DevOps enables organizations to cope with the increasing complexity of managing customer requirements and requests. It fosters the emergence of a more collaborative and Agile framework to replace the waterfall model...
During the COVID-19 pandemic, the corporate online training sector has increased exponentially and online course providers had to implement innovative solutions to be more efficient and provide a satisfactory service. This paper considers a real case...
Autonomous driving is a safety-critical system, and the occupancy of its environmental resources affects the safety of autonomous driving. In view of the lack of safety verification of environmental resource occupation rules in autonomous driving, th...
The wide variety of services and applications that shall be supported by future wireless systems will lead to a high amount of sensitive data exchanged via radio, thus introducing a significant challenge for security. Moreover, in new networking para...
Network slicing has become a fundamental property for next-generation networks, especially because an inherent part of 5G standardisation is the ability for service providers to migrate some or all of their network services to a virtual network infra...
Machine Learning (ML) has gained prominence and has tremendous applications in fields like medicine, biology, geography and astrophysics, to name a few. Arguably, in such areas, it is used by domain experts, who are not necessarily skilled-programmer...
of 4
Get Alerted
Add your email address to receive forthcoming issues of this journal.
