2006 IEEE International Conference on Web Services (ICWS'06) 2006
DOI: 10.1109/icws.2006.39
|View full text |Cite
|
Sign up to set email alerts
|

Bootstrapping Performance and Dependability Attributes ofWeb Services

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
99
0

Year Published

2006
2006
2013
2013

Publication Types

Select...
3
3
2

Relationship

4
4

Authors

Journals

citations
Cited by 100 publications
(99 citation statements)
references
References 12 publications
0
99
0
Order By: Relevance
“…This is often the case for QoS data, since techniques such as QoS monitoring [15] can be used to get an idea of e.g., the response time of a service before it is actually invoked. The Violation Predictor uses both facts and estimates from previously monitored historical service executions to train a machine learning function (we use multi-layer artificial neural networks [16] for quantitative SLOs and C4.5 decision trees [17] for qualitative SLOs), which can then be used to produce a numerical estimation of the SLO values at runtime.…”
Section: Prediction Of Slosmentioning
confidence: 99%
See 2 more Smart Citations
“…This is often the case for QoS data, since techniques such as QoS monitoring [15] can be used to get an idea of e.g., the response time of a service before it is actually invoked. The Violation Predictor uses both facts and estimates from previously monitored historical service executions to train a machine learning function (we use multi-layer artificial neural networks [16] for quantitative SLOs and C4.5 decision trees [17] for qualitative SLOs), which can then be used to produce a numerical estimation of the SLO values at runtime.…”
Section: Prediction Of Slosmentioning
confidence: 99%
“…Monitoring QoS has been an active research area for some time. Different techniques proposed in this direction include monitoring based on client feedback [23], monitoring of TCPlevel metrics using network analysis techniques [15] or event-based monitoring based on event-conditionaction rules [24]. We use the VRESCO event engine and event-based monitoring in a manner very similar to the approach presented in [24].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…They further separate performance into eight components such as network latency, processing and wrapping time on the server, and round-trip time. While they state the need for measuring all of these components, they focus on round-trip time and present a providerindependent bootstrapping framework for measuring performance-related QoS on the client-side [22,20].…”
Section: Related Workmentioning
confidence: 99%
“…In previous work [16], we have defined a QoS model for Web services by identifying different QoS attributes. Since some attributes are either dependent on external factors or derived from empirical values, not all attributes are determinable in advance.…”
Section: Listing 6 Sla Integration In Ws-cdlmentioning
confidence: 99%