QoS-based adaptation service selection broker

Electronic documents are becoming increasingly rich in content and varied in format and style while at the same time client devices are getting increasingly varied in their capabilities. This mismatch between rich contents and the end devices’ capability presents a challenge in providing seamless and ubiquitous access to these contents to interested users. Recently, service-oriented content adaptation has emerged as a potential mechanism to address some of the problems arising from the content–device mismatch. The major problem with service-oriented content adaptation scheme is that an adaptation task can potentially be performed by multiple services. In this case, selecting appropriate services among the many available services is necessary to increase the overall performance of the system. In this paper, we propose a multi-criteria adaptation service selection broker that provides the possibility to select the best service among the available candidates. The performance of the proposed service selection framework is studied in terms of efficiency of service selection execution under various conditions. The results indicate that the proposed policy performs substantially better than the baseline approach.

Research highlights
► APDC improves service selection execution for service-oriented content adaptation.
► APDC maximises single optimal adaptation path generation.
► Applying weighted QoSs leads to a higher single optimal path generation.
► The SOCA architecture promotes the broker for service selection.