An auction and witness enhanced trustworthy SLA model for decentralized cloud marketplaces

Open Access
Authors
Publication date 2021
Book title GoodIT '21
Book subtitle proceedings of the Conference on Information Technology for Social Good : September 9-11, 2021, Roma, Italy
ISBN (electronic)
  • 9781450384780
Event 1st Conference on Information Technology for Social Good, GoodIT 2021
Pages (from-to) 109-114
Number of pages 6
Publisher New York, NY: The Association for Computing Machinery
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

Cloud computing has become one of the most important technologies that have changed the traditional application development and operation (DevOps) lifecycle. However, current cloud software DevOps often faces the following key challenges: 1) selecting the best fitting service providers, customizing services and planning capacities for large-scale distributed applications; 2) guaranteeing high-quality and trustworthy service level agreements (SLAs) among multiple service providers; 3) enhancing the interoperability of cloud services across providers; 4) designing incentive model effectively among players. In this study, a framework called AWESOME is proposed to build a decentralized cloud marketplace and to address the above challenges. The proposed framework contains four subsystems including a customizable auction model, an incentive witness mechanism, and a social behavior-based simulator as one automated framework. We also provide a proof of concept to demonstrate that the AWESOME framework is feasible.

Document type Conference contribution
Note This work has been partially funded by the European Union’s Horizon 2020 research and innovation programme, by the ARTICONF project grant agreement No 825134, by the ENVRI-FAIR project grant agreement No 824068, by the BLUECLOUD project grant agreement No 862409, by the LifeWatch ERIC. The project is also partially supported by China Scholarship Council (CSC).
Language English
Published at https://doi.org/10.1145/3462203.3475876 https://doi.org/10.1145/3462203.3475876
Other links https://www.scopus.com/pages/publications/85115425450
Downloads
BANDIT2021 (3) (Proof)
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