System for monitoring and managing datacenters

N Yadav, AR Singh, S Gandham, EC Scheib… - US Patent …, 2018 - Google Patents
An example method includes detecting, using sensors, packets throughout a datacenter.
The sensors can then send packet logs to various collectors which can then identify and …

Sage: practical and scalable ML-driven performance debugging in microservices

Y Gan, M Liang, S Dev, D Lo, C Delimitrou - Proceedings of the 26th …, 2021 - dl.acm.org
Cloud applications are increasingly shifting from large monolithic services to complex
graphs of loosely-coupled microservices. Despite the advantages of modularity and …

Network flow watermarking: A survey

A Iacovazzi, Y Elovici - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
Traffic analysis (TA) is a useful tool aimed at understanding network traffic behavior. Basic
network administration often takes advantage of TA for purposes such as security, intrusion …

MDL-based clustering for application dependency mapping

EC Scheib, A Parandehgheibi, O Madani… - US Patent …, 2019 - Google Patents
Application dependency mapping (ADM) can be automated in a network. The network can
determine an optimum number of clusters for the network using the minimum description …

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 …

Augmenting flow data for improved network monitoring and management

A Parandehgheibi, MA Attar, O Madani… - US Patent …, 2019 - Google Patents
Flow data can be augmented with features or attributes from other domains, such as
attributes from a source host and/or destination host of a flow, a process initiating the flow …

Cluster discovery via multi-domain fusion for application dependency mapping

A Parandehgheibi, O Madani, V Jeyakumar… - US Patent …, 2020 - Google Patents
Application dependency mapping (ADM) can be automated in a network. The network can
determine whether certain nodes form a cluster of a tier of an application. The network can …

A spatiotemporal deep learning approach for unsupervised anomaly detection in cloud systems

Z He, P Chen, X Li, Y Wang, G Yu… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Anomaly detection is a critical task for maintaining the performance of a cloud system. Using
data-driven methods to address this issue is the mainstream in recent years. However, due …

Policy-driven compliance

SK Gupta, N Yadav, MS Watts… - US Patent …, 2018 - Google Patents
A network can achieve compliance by defining and enforcing a set of network policies to
secure protected electronic information. The network can monitor network data …

Techniques for determining network anomalies in data center networks

A Kulshreshtha, N Yadav, HT Vu, MS Watts… - US Patent …, 2021 - Google Patents
(57) ABSTRACT A monitoring device/module monitors a plurality of nodes in a data center
network, and determines one or more latency distributions of response times for messages …