Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …

Currently, the world is witnessing a mounting avalanche of data due to the increasing
number of mobile network subscribers, Internet websites, and online services. This trend is …

With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

Predicting defects and knowing the network conditions are important issues in distribution
system operation. A comprehensive defect warning system considering different internal and …

The rising influence of artificial intelligence (AI) enables widespread adoption of the
technology in every aspect of computing, including Software-Defined Networking (SDN) …

Alarm prediction in optical networks focuses on forecasting network failure from the state of
equipment and links. The existing prediction methods usually rely on large amounts of data …

System logs are useful to understand the status of and detect faults in large scale networks.
However, due to their diversity and volume of these logs, log analysis requires much time …

Mobile Edge Computing (MEC) is proposed to solve the needs of Internet of Things (IoT)
users for high resource utilization, high reliability and low latency of service requests …

In this contribution, analysis of usefulness of selected parameters of a distributed information
system, for early detection of anomalies in its operation, is considered. Use of statistical …

System logs are important data to detect system faults and diagnose root causes of them in a
large scale network system. However, due to a huge amount and wide diversity of logs, it is …