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 …

Sketchvisor: Robust network measurement for software packet processing

Q Huang, X Jin, PPC Lee, R Li, L Tang… - Proceedings of the …, 2017 - dl.acm.org
Network measurement remains a missing piece in today's software packet processing
platforms. Sketches provide a promising building block for filling this void by monitoring …

A compressive sensing-based approach to end-to-end network traffic reconstruction

D Jiang, W Wang, L Shi, H Song - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Estimation of end-to-end network traffic plays an important role in traffic engineering and
network planning. The direct measurement of a network's traffic matrix consumes large …

The nature of data center traffic: measurements & analysis

S Kandula, S Sengupta, A Greenberg, P Patel… - Proceedings of the 9th …, 2009 - dl.acm.org
We explore the nature of traffic in data centers, designed to support the mining of massive
data sets. We instrument the servers to collect socket-level logs, with negligible performance …

Improving the scalability of data center networks with traffic-aware virtual machine placement

X Meng, V Pappas, L Zhang - 2010 Proceedings IEEE …, 2010 - ieeexplore.ieee.org
The scalability of modern data centers has become a practical concern and has attracted
significant attention in recent years. In contrast to existing solutions that require changes in …

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 …

Network tomography: A review and recent developments

E Lawrence, G Michailidis, VN Nair, B Xi - Frontiers in statistics, 2006 - World Scientific
The modeling and analysis of computer communications networks give rise to a variety of
interesting statistical problems. This chapter focuses on network tomography, a term used to …

Applying deep learning approaches for network traffic prediction

R Vinayakumar, KP Soman… - … on Advances in …, 2017 - ieeexplore.ieee.org
Network traffic prediction aims at predicting the subsequent network traffic by using the
previous network traffic data. This can serve as a proactive approach for network …

[HTML][HTML] Fine-granularity inference and estimations to network traffic for SDN

D Jiang, L Huo, Y Li - PloS one, 2018 - journals.plos.org
An end-to-end network traffic matrix is significantly helpful for network management and for
Software Defined Networks (SDN). However, the end-to-end network traffic matrix's …

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 …