Abstract | ||
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The recent trend of "everything as a service", is fostering the Internet of services (IoS) and will promote the emergence of service operation. Service operation provides the business and technical base for advanced business models. Service monitoring is a crucial issue for the guaranteed service delivery in service operation. However, most service monitoring approaches are specific and focus on IT level. The challenge of how to monitor diverse business aspect of service simply and flexibly needs to be overcome. In this paper, we present a model-driven approach for service monitoring from business perspective. In the approach, a business-oriented service monitoring metamodel is put forward to define various monitoring models on demand. The model can flexibly specify the monitored information in both business level and IT level and the monitoring process. Also, a service monitor is implemented through model-driven way which brings the scalability to its implementation. |
Year | DOI | Venue |
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2010 | 10.1109/ICSS.2010.28 | ICSS |
Keywords | Field | DocType |
it level,web services,business-oriented service monitoring metamodel,service monitoring,business level,model-driven approach,monitoring process,business-oriented monitoring,service monitoring approach,service monitor,service operation,everything-as-a-service,guaranteed service delivery,internet-of-services,various monitoring model,advanced business model,software engineering,scalability,business,data models,ecosystems,business model,software performance,quality of service,computational modeling | Service design,Service level objective,Computer science,Knowledge management,Differentiated service,Service catalog,Service provider,Service level requirement,Value-added network,Service delivery framework,Process management | Conference |
ISBN | Citations | PageRank |
978-0-7695-4017-7 | 0 | 0.34 |
References | Authors | |
12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhuohao Wang | 1 | 0 | 1.01 |
Zhuofeng Zhao | 2 | 66 | 15.46 |
Kaiyuan Qi | 3 | 13 | 2.47 |