A game theoretic formulation of the technical debt management problem in cloud systems

Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre
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引用次数: 7

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.
云系统中技术债务管理问题的博弈论表述
由于缺乏模型来帮助云架构中的技术债务评估和监控,因此需要开发技术债务管理(TDM)理论和实践方法,以实现有效的管理决策。云是一个市场,在这个市场中,服务和资源是根据数据量和面向云的用户数量出租的,这会影响技术债务度量的准确性。在本文中,我们提出了基于云服务水平的技术债务管理问题的博弈论表述。构建了一个技术债务度量游戏,参数化每个服务的当前玩家数量,而每个新的最终用户可以选择任何提供的基于云的服务。在这个方向上,还讨论了一种技术债务激励的节流机制,用于资源租赁优化和可扩展性。验证测试验证了我们的方法在实际操作中的有效性,避免了累积的技术债务,并优化了以云为中心的系统中的可用资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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