Managing and scaling virtual network function(VNF) service chains require the collection and analysis ofnetwork statistics and states in real time. Existing networkfunction virtualization (NFV) monitoring frameworks either donot have the capabilities to express the range of telemetryitems needed to perform management or do not scale tolarge traffic volumes and rates. We present IntOpt, a scalableand expressive telemetry system designed for flexible VNFservice chain network monitoring using active probing. IntOptallows to specify monitoring requirements for individual servicechain, which are mapped to telemetry item collection jobsthat fetch the required telemetry items from P4 (programmingprotocol-independent packet processors) programmable dataplaneelements. In our approach, the SDN controller creates theminimal number of monitoring flows to monitor the deployedservice chains as per their telemetry demands in the network.We propose a simulated annealing based random greedy metaheuristic(SARG) to minimize the overhead due to activeprobing and collection of telemetry items. Using P4-FPGA, webenchmark the overhead for telemetry collection and compareour simulated annealing based approach with a na¨ıve approachwhile optimally deploying telemetry collection probes. Ournumerical evaluation shows that the proposed approach canreduce the monitoring overhead by 39% and the total delays by57%. Such optimization may as well enable existing expressivemonitoring frameworks to scale for larger real-time networks. ; HITS, 4707
IntOpt: In-Band Network Telemetry Optimization for NFV Service Chain Monitoring
2019-01-01
Conference paper
Electronic Resource
English
DDC: | 629 |
Enhanced ISS Ku Band Telemetry Service
AIAA | 2014
|Enhanced ISS Ku Band Telemetry Service (AIAA 2014-1654)
British Library Conference Proceedings | 2014
|In-Band Network Telemetry for Efficient Congestion Mitigation
DataCite | 2024
|NTRS
|Viking X-band telemetry experiment
NTRS | 1976
|