Digital twin for networking: A data-driven performance modeling perspective

L Hui, M Wang, L Zhang, L Lu, Y Cui - IEEE Network, 2022 - ieeexplore.ieee.org
Emerging technologies and applications make the network unprecedentedly complex and
heterogeneous, leading the network operations to be costly and risky. The digital twin …

The mystery machine: End-to-end performance analysis of large-scale internet services

M Chow, D Meisner, J Flinn, D Peek… - 11th USENIX Symposium …, 2014 - usenix.org
Current debugging and optimization methods scale poorly to deal with the complexity of
modern Internet services, in which a single request triggers parallel execution of numerous …

Structured comparative analysis of systems logs to diagnose performance problems

K Nagaraj, C Killian, J Neville - 9th USENIX Symposium on Networked …, 2012 - usenix.org
Diagnosis and correction of performance issues in modern, large-scale distributed systems
can be a daunting task, since a single developer is unlikely to be familiar with the entire …

Moving beyond end-to-end path information to optimize CDN performance

R Krishnan, HV Madhyastha, S Srinivasan… - Proceedings of the 9th …, 2009 - dl.acm.org
Replicating content across a geographically distributed set of servers and redirecting clients
to the closest server in terms of latency has emerged as a common paradigm for improving …

Why (and how) networks should run themselves

N Feamster, J Rexford - arXiv preprint arXiv:1710.11583, 2017 - arxiv.org
The proliferation of networked devices, systems, and applications that we depend on every
day makes managing networks more important than ever. The increasing security …

Pushing CDN-ISP collaboration to the limit

B Frank, I Poese, Y Lin, G Smaragdakis… - ACM SIGCOMM …, 2013 - dl.acm.org
Today a spectrum of solutions are available for istributing content over the Internet, ranging
from commercial CDNs to ISP-operated CDNs to content-provider-operated CDNs to peer-to …

Predicting execution time of computer programs using sparse polynomial regression

L Huang, J Jia, B Yu, BG Chun… - Advances in neural …, 2010 - proceedings.neurips.cc
Predicting the execution time of computer programs is an important but challenging problem
in the community of computer systems. Existing methods require experts to perform detailed …

Causeinfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems

P Chen, Y Qi, P Zheng, D Hou - IEEE INFOCOM 2014-IEEE …, 2014 - ieeexplore.ieee.org
Modern applications especially cloud-based or cloud-centric applications always have many
components running in the large distributed environment with complex interactions. They …

Proactive failure detection learning generation patterns of large-scale network logs

T Kimura, A Watanabe, T Toyono… - IEICE Transactions on …, 2019 - search.ieice.org
Recent carrier-grade networks use many network elements (switches, routers) and servers
for various network-based services (eg, video on demand, online gaming) that demand …

Towards automated performance diagnosis in a large IPTV network

AA Mahimkar, Z Ge, A Shaikh, J Wang, J Yates… - ACM SIGCOMM …, 2009 - dl.acm.org
IPTV is increasingly being deployed and offered as a commercial service to residential
broadband customers. Compared with traditional ISP networks, an IPTV distribution network …