Open AccessSmart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services
Author(s) -
Oum Elhana Maamra,
Mohamed-Khireddine Kholladi,
Okba Kazar,
Saad Harous
Publication year - 2022
Publication title -
ingénierie des systèmes d'information/ingénierie des systèmes d'information
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 8
eISSN - 2116-7125
pISSN - 1633-1311
DOI - 10.18280/isi.270112
Subject(s) - skyline , computer science , cloud computing , the internet , tourism , operator (biology) , services computing , resource (disambiguation) , world wide web , data science , database , web service , data mining , computer network , biochemistry , chemistry , repressor , political science , transcription factor , gene , law , operating system
The Internet of Things (IoT) and the recent advancements in cloud computing have gained importance with the surge in the amount of data generated globally. Moreover, the rapidly increasing applications of the Internet in many scientific and real-time practical applications have ushered in a new era of complex applications of data flow. Tourism and related services are routinely accessed by millions of customers worldwide. Furthermore, with newer, attractive, rapidly growing services, it has become essential for dealers to promote their services using up-to-date technological tools. The major challenge is to efficiently determine and select the best travel options conforming to the needs and financial requirements of the customers. In this study, the use of a dynamic skyline operator for multicriteria decisions is examined using a time-dependent database to select the best services. Moreover, the impact of implementing the operator on optimizing resource consumption is explored. Results indicate that the implementation of this operator is more efficient than the existing techniques.