2019 Scientific Conference on Network, Power Systems and Computing
Monitoring of Data-center-platform Service Operation in Power Grid Based on Link Tracking Technology
Fenggang Lai, Pan Zhang, Jing Du, Haiyan Hou
It is difficult to find abnormal location and link combing in the DaaS operation in power grid. In order to solve these problems, we propose a DaaS operation monitoring scheme based on link tracking technology. When a principal requests a DaaS, a uniquely identified TraceID is generated for that principal's request. Every time a resource is invoked by the system, all transactions associated with this TraceID are stored in a log file and processed centrally. Various indicators of each service on the link are monitored by timing monitoring technology according to the time label of TraceID. Finally, through the comparative experiment the feasibility and effectiveness of the link tracking technology in the DaaS monitoring in the power grid are verified, which simulates the data-center-platform service experiment in the power grid. The experimental results show that the combination of link tracking technology, root cause analysis technology and time sequence monitoring technology can effectively solve the problems of abnormal location and link combing.
Data-as-a-service, data-center-platform service in power grid, microservice, link tracking technology
Cite this paper:
Fenggang Lai, Pan Zhang, Jing Du, Haiyan Hou, Monitoring of Data-center-platform Service Operation in Power Grid Based on Link Tracking Technology. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 207-213. DOI: https://doi.org/10.33969/EECS.V3.046.