A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

Explicitly covariant light-front dynamics and relativistic few-body systems

J Carbonell, B Desplanques, VA Karmanov, JF Mathiot - Physics Reports, 1998 - Elsevier
The wave function of a composite system is defined in relativity on a space–time surface. In
the explicitly covariant light-front dynamics, reviewed in the present article, the wave …

Long-term mobile traffic forecasting using deep spatio-temporal neural networks

C Zhang, P Patras - Proceedings of the Eighteenth ACM International …, 2018 - dl.acm.org
Forecasting with high accuracy the volume of data traffic that mobile users will consume is
becoming increasingly important for precision traffic engineering, demand-aware network …

A long way to the top: Significance, structure, and stability of internet top lists

Q Scheitle, O Hohlfeld, J Gamba, J Jelten… - Proceedings of the …, 2018 - dl.acm.org
A broad range of research areas including Internet measurement, privacy, and network
security rely on lists of target domains to be analysed; researchers make use of target lists …

Diagnosing network-wide traffic anomalies

A Lakhina, M Crovella, C Diot - ACM SIGCOMM computer …, 2004 - dl.acm.org
Anomalies are unusual and significant changes in a network's traffic levels, which can often
span multiple links. Diagnosing anomalies is critical for both network operators and end …

Structural analysis of network traffic flows

A Lakhina, K Papagiannaki, M Crovella, C Diot… - Proceedings of the joint …, 2004 - dl.acm.org
Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a
thorough understanding of OD flows is essential for modeling network traffic, and for …

Joint request mapping and response routing for geo-distributed cloud services

H Xu, B Li - 2013 Proceedings IEEE INFOCOM, 2013 - ieeexplore.ieee.org
Many cloud services are running on geographically distributed datacenters for better
reliability and performance. We consider the emerging problem of joint request mapping and …

Network monitoring: Present and future

S Lee, K Levanti, HS Kim - Computer Networks, 2014 - Elsevier
Network monitoring guides network operators in understanding the current behavior of a
network. Therefore, accurate and efficient monitoring is vital to ensure that the network …

[HTML][HTML] Forecasting short-term data center network traffic load with convolutional neural networks

A Mozo, B Ordozgoiti, S Gomez-Canaval - PloS one, 2018 - journals.plos.org
Efficient resource management in data centers is of central importance to content service
providers as 90 percent of the network traffic is expected to go through them in the coming …

A hybrid SARIMA wavelet transform method for sales forecasting

TM Choi, Y Yu, KF Au - Decision Support Systems, 2011 - Elsevier
Time series forecasting, as an important tool in many decision support systems, has been
extensively studied and applied for sales forecasting over the past few decades. There are …