Online convex optimization (OCO) encapsulates supervised learning when training sets are
large-scale or dynamic, and has grown essential as data has proliferated. OCO decomposes …

In recent years, end-to-end network latency estimation has attracted much attention because
of its significance for network performance evaluation. Given the widespread use of personal …

Recent decades have observed an exponential growth in network traffic, thanks to the
increased popularity of real-time applications, such as live video chat and gaming. The …

In recent years, with the growing prevalence of personal devices, network latency of devices
has drawn much attention due to its significant influence on user experience. Thus network …

Network latency is an important metric for network performance evaluation. However, device
faults inevitably occur during the data collection process, resulting in abnormal data or even …

Abstract [eng] The paper presents a cloud server roundtrip time prediction approach for
cloud datacenters using neuro-fuzzy network with eight probability distribution functions …

Network latency estimation has drawn much attention in recent years due to the growing
number of personal devices and latency-sensitive applications with increasing user …

Abstract The Internet of Things (IoT) is growing in popularity, and as such, the number of
devices involved and the amount of data to be processed are rising quickly. Distributed …

The ability to accurately estimate end-to-end network latencies is extremely important for
many services, from overlay network formation to Edge computing and 5G. Research in …