Editorial: Model-driven provisioning of application services in hybrid computing environments
Future Generation Computer Systems
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Cloud monitoring involves dynamically tracking the Quality of Service (QoS) parameters related to virtualized services (e.g., CPU, storage, network, appliances, etc.), the physical resources they share, and the applications running on them or data hosted on them. Monitoring techniques and services can help a cloud provider or application developer in regards to: (i) keeping the cloud services and hosted applications operating at peak efficiency; (ii) detecting variations in service and application performance; (iii) accounting the SLA violations of certain QoS parameters; and (iv) tracking the leave and join operations of cloud services due to failures and other dynamic configuration changes. In this paper, we describe the PhD research motivation, question, and approach and methodology related to developing novel cloud monitoring techniques and services enabling automated application QoS management under uncertainties.