An approximation approach to discovering web services for uncertain client’s QoS preference
It is paramount to provide seamless and ubiquitous access to rich contents available online to interested users via a wide range of devices with varied characteristics. However, mobile devices accessing these rich contents are constrained by different capabilities e.g., display size, thus resulting...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6547/ http://eprints.uthm.edu.my/6547/1/210.pdf |
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| Summary: | It is paramount to provide seamless and ubiquitous access to rich contents available online
to interested users via a wide range of devices with varied characteristics. However, mobile devices
accessing these rich contents are constrained by different capabilities e.g., display size, thus
resulting poor browsing experiences e.g., unorganized layout. Recently, a service-oriented content
adaptation (SOCA) scheme has emerged to address this content-device mismatch problem. In this
scheme, content adaptation functions are provided as services by multiple providers. This elevates
service discovery as an important problem. A QoS-based service discovery approach has been
proposed and widely used to matchmaking the client QoS preference with the service advertised
QoS. Most of these solutions assume that the client’s QoS is known apriori. However, these
approaches suffer from unknown or partially specified client QoS. In this paper, we propose an
approximation approach to deal with QoS uncertainty. Our solution considers the statistical
approach to discover the suitable content adaptation services. The performance analysis verifies that
our approach performs reasonably well |
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