TY - GEN
T1 - Scalable Agentless Cloud Network Monitoring
AU - Brattstrom, Morgan
AU - Morreale, Patricia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/20
Y1 - 2017/7/20
N2 - With the growth of Infrastructure as a Service (IaaS) in cloud computing, and the Internet of Things (IoT), network monitoring of the global infrastructure will continue to expand, as cybersecurity will become of primary importance. Current network monitoring approaches, particularly those that are agent-based, are proprietary, costly, and may not scale. This paper proposes a lightweight, scalable agentless system which can be configured, setup, and begin monitoring network health within minutes. The architecture utilizes a polling script to query Simple Network Monitoring Protocol (SNMP) demon for metrics, Prometheus Time Series Database instances for storage, and a Grafana Dashboard for metric presentation and alerting. The system design removes the learning curve necessary for most open source monitoring systems, while still providing similar metrics. The approach demonstrated here shows the ease and security with which specific site network monitoring can be deployed in a cloud configuration. Data from the network monitoring can be forwarded to a central analysis site for assessment and correlation. The proposed system is scalable, extensible for use in most cloud hosting environments, and provides network managers with direct control over the monitoring process and dashboard.
AB - With the growth of Infrastructure as a Service (IaaS) in cloud computing, and the Internet of Things (IoT), network monitoring of the global infrastructure will continue to expand, as cybersecurity will become of primary importance. Current network monitoring approaches, particularly those that are agent-based, are proprietary, costly, and may not scale. This paper proposes a lightweight, scalable agentless system which can be configured, setup, and begin monitoring network health within minutes. The architecture utilizes a polling script to query Simple Network Monitoring Protocol (SNMP) demon for metrics, Prometheus Time Series Database instances for storage, and a Grafana Dashboard for metric presentation and alerting. The system design removes the learning curve necessary for most open source monitoring systems, while still providing similar metrics. The approach demonstrated here shows the ease and security with which specific site network monitoring can be deployed in a cloud configuration. Data from the network monitoring can be forwarded to a central analysis site for assessment and correlation. The proposed system is scalable, extensible for use in most cloud hosting environments, and provides network managers with direct control over the monitoring process and dashboard.
KW - agentless
KW - cloud computing
KW - network management
KW - Network monitoring
KW - network security
KW - SNMP
UR - http://www.scopus.com/inward/record.url?scp=85028639678&partnerID=8YFLogxK
U2 - 10.1109/CSCloud.2017.11
DO - 10.1109/CSCloud.2017.11
M3 - Conference contribution
AN - SCOPUS:85028639678
T3 - Proceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
SP - 171
EP - 176
BT - Proceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
A2 - Qiu, Meikang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
Y2 - 26 June 2017 through 28 June 2017
ER -