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.
Many innovative services are emerging based on the Internet of Things (IoT) technology, aiming at fostering better sustainability of our cities. New solutions integrating Information and Communications Technologies (ICTs) with sustainable transport m...
The Internet of Things (IoT) is now expanding and becoming more popular in most industries, which leads to vast growth in cloud computing. The architecture of IoT is integrated with cloud computing through web services. Recently, Dynamic Web Service...
Cryptographic algorithms installed on Internet of Things (IoT) devices suffer many attacks. Some of these attacks include the differential linear attack (DL). The DL attack depends on the computation of the probability of differential-linear characte...
The past decades witnessed an unprecedented urbanization and the proliferation of modern information and communication technologies (ICT), which makes the concept of Smart City feasible. Among various intelligent components, smart urban transportatio...
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Fog systems are a new emergent technology having a wide range of architectures and pronounced needs making their design complex. Consequently, the design of fog systems is crucial, including service portability and interoperability between the variou...
Indoor localization systems are used to locate mobile devices inside buildings where traditional solutions, such as the Global Navigation Satellite Systems (GNSS), do not work well due to the lack of direct visibility to the satellites. Fingerprintin...
The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning. The mos...
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing t...
This paper addresses the fundamental problem of the trade-off between resource efficiency and user satisfaction in the limited environments of Named Data Networks (NDNs). The proposed strategy is named RADC (Resource Allocation based Data Classificat...
of 4
Get Alerted
Add your email address to receive forthcoming issues of this journal.
