Abstract
In real world, a service may be affected by various factors making service selection process a difficult task. Therefore it is important to select an appropriate service efficiently from a large number of services based on the quality of a service (QoS). However, existing approaches have limitations in processing QoS data with outliers that may occur in reality. When decomposing a global QoS constraint given by a service requester into local constraints, local thresholds are commonly computed with no consideration of outliers. Therefore, an appropriate service may not be selected due to false negative errors. To address this limitation, we propose an outlier-robust Web service selection approach based on a probabilistic QoS model. Specifically, the approach prunes services which do not satisfy a global constraint due to outliers. A service is then selected based on its probability of satisfying a global constraint. Experimental results show that the proposed approach outperforms an existing solution in terms of global QoS conformance.
| Original language | English |
|---|---|
| Pages (from-to) | 162-181 |
| Number of pages | 20 |
| Journal | International Journal of Web and Grid Services |
| Volume | 12 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
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Outlier-robust web service selection based on a probabilistic QoS model. / Kim, Minjung; Oh, Byungkook; Jung, Jooik; Lee, Kyong Ho.
In: International Journal of Web and Grid Services, Vol. 12, No. 2, 01.01.2016, p. 162-181.Research output: Contribution to journal › Article
TY - JOUR
T1 - Outlier-robust web service selection based on a probabilistic QoS model
AU - Kim, Minjung
AU - Oh, Byungkook
AU - Jung, Jooik
AU - Lee, Kyong Ho
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In real world, a service may be affected by various factors making service selection process a difficult task. Therefore it is important to select an appropriate service efficiently from a large number of services based on the quality of a service (QoS). However, existing approaches have limitations in processing QoS data with outliers that may occur in reality. When decomposing a global QoS constraint given by a service requester into local constraints, local thresholds are commonly computed with no consideration of outliers. Therefore, an appropriate service may not be selected due to false negative errors. To address this limitation, we propose an outlier-robust Web service selection approach based on a probabilistic QoS model. Specifically, the approach prunes services which do not satisfy a global constraint due to outliers. A service is then selected based on its probability of satisfying a global constraint. Experimental results show that the proposed approach outperforms an existing solution in terms of global QoS conformance.
AB - In real world, a service may be affected by various factors making service selection process a difficult task. Therefore it is important to select an appropriate service efficiently from a large number of services based on the quality of a service (QoS). However, existing approaches have limitations in processing QoS data with outliers that may occur in reality. When decomposing a global QoS constraint given by a service requester into local constraints, local thresholds are commonly computed with no consideration of outliers. Therefore, an appropriate service may not be selected due to false negative errors. To address this limitation, we propose an outlier-robust Web service selection approach based on a probabilistic QoS model. Specifically, the approach prunes services which do not satisfy a global constraint due to outliers. A service is then selected based on its probability of satisfying a global constraint. Experimental results show that the proposed approach outperforms an existing solution in terms of global QoS conformance.
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UR - http://www.scopus.com/inward/citedby.url?scp=84971420359&partnerID=8YFLogxK
U2 - 10.1504/IJWGS.2016.076619
DO - 10.1504/IJWGS.2016.076619
M3 - Article
AN - SCOPUS:84971420359
VL - 12
SP - 162
EP - 181
JO - International Journal of Web and Grid Services
JF - International Journal of Web and Grid Services
SN - 1741-1106
IS - 2
ER -