Abstract
The lack of models to aid the technical debt estimation and monitoring in cloud architectures motivates the need to develop a technical debt management (TDM) theory and practical approach for effective management decision making. The cloud is a marketplace in which services and resources are leased off based on the volume of data and the number of cloud-oriented users, which affect the accuracy of the technical debt measurement. In this research paper, we propose a game theoretic formulation of the technical debt management problem on cloud-based service level. A technical debt measurement game is constructed, parameterizing the current number of players per service, while each new end-user can choose any of the offered cloud-based services. In this direction, a technical debt-inspired throttling mechanism is also discussed for resource leasing optimization and scalability. The validation tests verify the effectiveness of our approach in real-world operations, avoiding accumulated technical debt and optimizing available resources in cloud-centric systems.
Original language | English |
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Title of host publication | Proceedings of the 14th International Conference on Telecommunications, ConTEL 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 7-12 |
Number of pages | 6 |
ISBN (Electronic) | 9789531842235 |
DOIs | |
Publication status | Published - 1 Aug 2017 |
Event | 14th International Conference on Telecommunications, ConTEL 2017 - Zagreb, Croatia Duration: 28 Jun 2017 → 30 Jun 2017 |
Other
Other | 14th International Conference on Telecommunications, ConTEL 2017 |
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Country/Territory | Croatia |
City | Zagreb |
Period | 28/06/17 → 30/06/17 |
Keywords
- Cloud computing
- Fluctuation-based modelling
- Game theory
- Non-linearity
- Technical debt management
- Technical debt measurement