A Context-aware Approach for Personalised and Adaptive QoS Assessments

TY - CHAP

T1 - A Context-aware Approach for Personalised and Adaptive QoS Assessments

AU - Barakat, Lina

AU - Taweel, Adel

AU - Luck, Michael

AU - Miles, Simon

PY - 2015/11

Y1 - 2015/11

N2 - Given the importance of QoS (quality of service) properties for distinguishing between functionally-equivalent services and accommodating different user expectations, a number of QoS estimation approaches have been proposed, utilising the observation history available on a service. Although the context underlying such previous observations (and corresponding to both user and service related factors) could provide an important source of information for the QoS estimation process, it has only been utilised to a limited extent by existing approaches. In response, we propose a context-aware quality learning model, realised via a learning-enabled service agent, exploiting the contextual characteristics of the domain in order to provide more personalised, accurate and relevant quality estimations for the situation at hand. The experimentsconducted demonstrate the effectiveness of the proposed approach.

AB - Given the importance of QoS (quality of service) properties for distinguishing between functionally-equivalent services and accommodating different user expectations, a number of QoS estimation approaches have been proposed, utilising the observation history available on a service. Although the context underlying such previous observations (and corresponding to both user and service related factors) could provide an important source of information for the QoS estimation process, it has only been utilised to a limited extent by existing approaches. In response, we propose a context-aware quality learning model, realised via a learning-enabled service agent, exploiting the contextual characteristics of the domain in order to provide more personalised, accurate and relevant quality estimations for the situation at hand. The experimentsconducted demonstrate the effectiveness of the proposed approach.

KW - context awareness

KW - change detection

KW - personalisation

KW - quality value learning

U2 - 10.1007/978-3-662-48616-0_25

DO - 10.1007/978-3-662-48616-0_25

M3 - Conference paper

SN - 9783662486153

VL - 9435

SP - 362

EP - 370

BT - Proceeding of the 13th International Conference on Service Oriented Computing

PB - Springer

T2 - international conference on service oriented computing

Y2 - 16 November 2016 through 19 November 2018

ER -