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 …
the explicitly covariant light-front dynamics, reviewed in the present article, the wave …
Sketchvisor: Robust network measurement for software packet processing
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 …
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
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 …
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 …
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
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 …
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 …
span multiple links. Diagnosing anomalies is critical for both network operators and end …
Network tomography: A review and recent developments
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 …
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 …
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 …
Software Defined Networks (SDN). However, the end-to-end network traffic matrix's …
Structural analysis of network traffic flows
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 …
thorough understanding of OD flows is essential for modeling network traffic, and for …