Name
Abstract | ||
|---|---|---|
The Advances in Quality of Service Management (AQuSerM) workshop is a satellite event of the Tenth IEEE International EDOC Conference (EDOC 2006), held between the 16th and 20th of October 2006. The AuQSerM workshop was established as a forum for presenting advances in QoS-oriented techniques and tools for managing enterprise architectures, encompassing approaches to monitoring, diagnostics, runtime analysis and prediction and adaptation. Model-driven approaches are a special focus of the workshop. Service Level Management (SLM) is the process of managing the Quality of Service (QoS) demanded by clients and offered by providers. In the past, SLM approaches have focused on service contract definition, monitoring and reporting and have typically been handled by enterprise system management tools such as Microsofts SMS, CAs Unicenter and Empirixs OneSight. However, traditional approaches are inadequate when dealing with complex service-oriented architectures. Service-oriented architectures (SOAs) are compositional, dynamic and often distributed over the internet. For such architectures, SLM becomes a difficult problem that can no longer be handled by traditional management and monitoring strategies. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/EDOCW.2006.23 | EDOC Workshops |
Keywords | Field | DocType |
traditional approach,slm approach,tenth ieee international edoc,service level management,traditional management,enterprise system management tool,cas unicenter,auqserm workshop,enterprise architecture,service management,enterprise system,service oriented architecture,quality management,quality of service,satellites | Service design,Data mining,Enterprise system,Service level,Systems engineering,Computer science,Quality of service,Service product management,Quality management,Service-oriented architecture,The Internet | Conference |
ISBN | Citations | PageRank |
0-7695-2743-4 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iman Poernomo | 1 | 428 | 27.61 |
| Guijun Wang | 2 | 345 | 33.94 |