Scheduling Network PerformanceMonitoring in The Cloud

Sammanfattning: New trends in the market, adapted to service oriented consumption models, haveunfolded new opportunities in how we monitor network performance. This thesis,introduces a new containerized, decentralized and concurrent scheduler for activenetwork performance monitoring called Controlled Priority Scheduling (CPS). Thescheduler is implemented to suit the container monitoring platform, ConMon. Thescheduler is implemented to run inside distributed containers, where the purpose isto deploy the scheduling container on the same host as the running application.Performing the monitoring in such way gives a better understanding of the networkperformance an application can utilize, compared to the capacity the network canoffer. The CPS scheduler showed an improved monitoring time granularity whencompared too other distributed and decentralized schedulers. In addition, CPSmanages to perform a consistent, near-cyclic monitoring pattern, over a dynamicallyadaptable monitoring cluster, without causing any monitoring conflicts.