Cloud Services Discovery and Selection Assistant

Hamdi Gabsi, Rim Drira, Henda Ben Ghezala

Abstract

The surging popularity of cloud services has led to the emergence of numerous cloud providers who offer various services. The great variety and the exponential proliferation of cloud services over the Web introduce several functionally similar offers with heterogeneous descriptions and contrasting APIs (Application Programming Interfaces). Due to this heterogeneity, efficient and accurate service discovery and selection, based on developers-specific requirements and terminology, have become a significant challenge that requires a high level of expertise and a steep documentation curve. In order to assist developers in handling these issues, first, we propose a Cloud Services Discovery and Selection Assistant (DESCA) based on a developer’s query expressed in natural language. Second, we offer to the developers a cloud data-set, named ULID (Unified cLoud servIces Data-set), where services offered by different cloud providers are collected, unified and classified based on their functional features. The effectiveness of our contributions and their valuable insights to improve cloud services discovery and selection are demonstrated through evaluation experimentation.

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Paper Citation


in Harvard Style

Gabsi H., Drira R. and Ben Ghezala H. (2020). Cloud Services Discovery and Selection Assistant.In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 158-169. DOI: 10.5220/0009403801580169


in Bibtex Style

@conference{enase20,
author={Hamdi Gabsi and Rim Drira and Henda Ben Ghezala},
title={Cloud Services Discovery and Selection Assistant},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2020},
pages={158-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009403801580169},
isbn={978-989-758-421-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Cloud Services Discovery and Selection Assistant
SN - 978-989-758-421-3
AU - Gabsi H.
AU - Drira R.
AU - Ben Ghezala H.
PY - 2020
SP - 158
EP - 169
DO - 10.5220/0009403801580169