ALLSTAR: A Blockchain Based Decentralized Ecosystem for Cloud and Edge Computing

Open Access
Authors
Publication date 2020
Book title 2020 IEEE International Conference on JointCloud Computing
Book subtitle proceedings : 3-6 August 2020, Oxford, United Kingdom
ISBN
  • 9781728169828
ISBN (electronic)
  • 9781728169811
Event 2020 IEEE International Conference on Joint Cloud Computing
Pages (from-to) 55-62
Number of pages 8
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Last decades, Cloud computing has made significant impacts on traditional applications to change their development and operation methods. We witnessed ever more newly-built Clouds and data centers. However, the centralized management mechanism of current Clouds lacks the dispersion to satisfy the requirements of emerging collaborative applications, including AI, IoT, and autopilot. On the other hand, the Edge computing stays at the conceptual and experimental stage. Most organizations construct their own Edge nodes to operate applications. An efficient and incentive mechanism is missing to motivate the Edge and micro Cloud resource providers to join and constitute a more generalized and decentralized ecosystem. To address this issue, we propose ALLSTAR, a blockchain based architecture for equally combining all the Cloud and Edge resources to be seamlessly leveraged by the application in the DevOps (development and operations) lifecycle. The ALLSTAR architecture is a systematic solution to realize the "Cloud+Edge" management and contributes to constructing the corresponding ALLSTAR ecosystem. This paper describes the overall architecture of ALLSTAR, the related key techniques, and detailed application DevOps processes as well as the new business model.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/JCC49151.2020.00018
Published at https://zenodo.org/record/4018880
Other links http://www.proceedings.com/55583.html
Downloads
2020.conference.jcc.camera (Accepted author manuscript)
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