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Request Relaxation Based-on Provider Constraints for a Capability-Based NaaS Services Discovery

  • Telecom Sudparis
  • Université de Sousse
  • Université de Tunis
  • Université de Monastir
  • Dublin City University
  • BYO NETWORKS

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Résumé

Network as a Service (NaaS) enables cloud customers to connect their distributed services across multiple clouds without relying exclusively on their infrastructures. The discovery of NaaS services remains challenging not only because of their scale and diversity but also because of the hidden constraints that cloud providers impose on these services at the networking layer. NaaS services are usually offered in the form of service bundles containing underlying services and constraints not requested by the customers. This creates undesirable dependencies and constraints that hamper portability, compatibility and interoperability across providers. The problem of service discovery becomes more challenging when these constraints are the main and first cause that prevents a customer’s request from being fulfilled. Without a mechanism that enables customers to identify these constraints and to adjust their requests accordingly, existing service discovery solutions are likely to fall short. We propose to complement existing service discovery solutions by not only identifying unmatched constraints but also recommending relaxing discovery requests to retrieve optimal and compliant services.

langue originaleAnglais
titreAdvanced Information Systems Engineering - 35th International Conference, CAiSE 2023, Proceedings
rédacteurs en chefMarta Indulska, Iris Reinhartz-Berger, Carlos Cetina, Oscar Pastor
EditeurSpringer Science and Business Media Deutschland GmbH
Pages611-627
Nombre de pages17
ISBN (imprimé)9783031345593
Les DOIs
étatPublié - 1 janv. 2023
Evénement35th International Conference on Advanced Information Systems Engineering, CAiSE 2023 - Zaragoza, Espagne
Durée: 12 juin 202316 juin 2023

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13901 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence35th International Conference on Advanced Information Systems Engineering, CAiSE 2023
Pays/TerritoireEspagne
La villeZaragoza
période12/06/2316/06/23

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