How to Account for the Uncertainty in The QoS Selection Task
Serdica Journal of Computing (2017)
- Volume: 11, Issue: 2, page 165-182
- ISSN: 1312-6555
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topGeorgieva, Olga. "How to Account for the Uncertainty in The QoS Selection Task." Serdica Journal of Computing 11.2 (2017): 165-182. <http://eudml.org/doc/294976>.
@article{Georgieva2017,
abstract = {The paper presents an approach to QoS selection of web
services. It introduces a theoretical frame and respective applicable
selection procedures, in which the solution accounts for the uncertainty of
the existing metrics data and client preference. Methods of two general
cases are revealed in detail. The first method considers a selection based
on one service quality. The second method assesses the integrated QoS of
interesting properties. The theoretical analysis is validated through
experimental investigation of real data of services’ quality metrics.
ACM Computing Classification System (1998): H.3.7, K.3.1.*The author acknowledges the financial support of the National Science Fund, Bulgarian
Ministry of Education and Science, under project grant DN 02/11 and the Science Fund of
the St. Kliment Ohridski University of Sofia under project grant No 80-10-196/24.04.2017.},
author = {Georgieva, Olga},
journal = {Serdica Journal of Computing},
keywords = {Personalization; E-Learning; Multimedia Digital Libraries; Adaptive Access; Service-Based Architecture},
language = {eng},
number = {2},
pages = {165-182},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {How to Account for the Uncertainty in The QoS Selection Task},
url = {http://eudml.org/doc/294976},
volume = {11},
year = {2017},
}
TY - JOUR
AU - Georgieva, Olga
TI - How to Account for the Uncertainty in The QoS Selection Task
JO - Serdica Journal of Computing
PY - 2017
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 11
IS - 2
SP - 165
EP - 182
AB - The paper presents an approach to QoS selection of web
services. It introduces a theoretical frame and respective applicable
selection procedures, in which the solution accounts for the uncertainty of
the existing metrics data and client preference. Methods of two general
cases are revealed in detail. The first method considers a selection based
on one service quality. The second method assesses the integrated QoS of
interesting properties. The theoretical analysis is validated through
experimental investigation of real data of services’ quality metrics.
ACM Computing Classification System (1998): H.3.7, K.3.1.*The author acknowledges the financial support of the National Science Fund, Bulgarian
Ministry of Education and Science, under project grant DN 02/11 and the Science Fund of
the St. Kliment Ohridski University of Sofia under project grant No 80-10-196/24.04.2017.
LA - eng
KW - Personalization; E-Learning; Multimedia Digital Libraries; Adaptive Access; Service-Based Architecture
UR - http://eudml.org/doc/294976
ER -
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