云系统中技术债务管理问题的博弈论表述

Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre
{"title":"云系统中技术债务管理问题的博弈论表述","authors":"Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre","doi":"10.23919/ConTEL.2017.8000012","DOIUrl":null,"url":null,"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.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A game theoretic formulation of the technical debt management problem in cloud systems\",\"authors\":\"Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre\",\"doi\":\"10.23919/ConTEL.2017.8000012\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":410388,\"journal\":{\"name\":\"2017 14th International Conference on Telecommunications (ConTEL)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on Telecommunications (ConTEL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ConTEL.2017.8000012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on Telecommunications (ConTEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ConTEL.2017.8000012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

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。
A game theoretic formulation of the technical debt management problem in cloud systems
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信