Abstract
Cloud computing represents a new trend to provide software services. In order to deliver these services there are certain quality levels that should be considered. The provided services need to comply with a set of contract terms and non-functional requirements specified by a service level agreement (SLA). In addition, to support the fulfillment of the SLA a monitoring process should be defined. This allows service providers to determine the actual quality level of services in the cloud. In this paper, we define a monitoring process for the usage of models at runtime, specifying low- and high-level nonfunctional requirements contained in a SLA. Models at runtime provide flexibility to the monitoring infrastructure due to their reflection mechanisms; the modification of non-functional requirements may dynamically change the monitoring computation, avoiding the need to adjust the monitoring infrastructure. In our approach, models at runtime are part of a monitoring middleware that interacts with cloud services; it retrieves data in the model at runtime, analyzes the information, and provides a report detailing the issues of non-compliance of non-functional requirements.
| Original language | English |
|---|---|
| Pages (from-to) | 31-40 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1270 |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 9th Workshop on [email protected], MRT 2014, Co-Located with 17th International Conference on Model Driven Engineering Languages and Systems, MODELS 2014 - Valencia, Spain Duration: 30 Sep 2014 → … |
Keywords
- Cloud computing
- Model driven engineering
- [email protected]
- Monitoring
- SaaS
- SLA
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