
handle: 11311/574945
Applications are increasingly composed of remote services provided by independent parties. This distributed ownership makes it problematic to measure and control quality of service indicators. Management activities must become an integral part of the system’s development process, from requirements elicitation, where users identify the quality dimensions of interest, to the implementation, where the actual composition must be paired with suitable means for its run-time management. This paper presents MDMS (Model-Driven Management of Services), a model-driven approach for engineering manageable services. The approach supports the explicit modeling of quality dimensions, management objectives, and key performance indicators, and the transformations required to exploit these concepts at runtime. The methodology is supported by ECo Ware, an innovative prototype framework for the deployment and operation of managed services.
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| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
