From DevOps to BizOps

Author:

Fokaefs Marios1,Barna Cornel1,Litoiu Marin1

Affiliation:

1. York University, Toronto, ON, Canada

Abstract

Virtualization of resources in cloud computing has enabled developers to commission and recommission resources at will and on demand. This virtualization is a coin with two sides. On one hand, the flexibility in managing virtual resources has enabled developers to efficiently manage their costs; they can easily remove unnecessary resources or add resources temporarily when the demand increases. On the other hand, the volatility of such environment and the velocity with which changes can occur may have a greater impact on the economic position of a stakeholder and the business balance of the overall ecosystem. In this work, we recognise the business ecosystem of cloud computing as an economy of scale and explore the effect of this fact on decisions concerning scaling the infrastructure of web applications to account for fluctuations in demand. The goal is to reveal and formalize opportunities for economically optimal scaling that takes into account not only the cost of infrastructure but also the revenue from service delivery and eventually the profit of the service provider. The end product is a scaling mechanism that makes decisions based on both performance and economic criteria and takes adaptive actions to optimize both performance and profitability for the system.

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Computer Science (miscellaneous),Control and Systems Engineering

Reference60 articles.

1. Feedback performance control in software services

2. Abdullah M. Alshanqiti Reiko Heckel and Tamim Khan. 2013. Learning minimal and maximal rules from observations of graph transformations. Electron. Commun. EASST 58 (2013). Abdullah M. Alshanqiti Reiko Heckel and Tamim Khan. 2013. Learning minimal and maximal rules from observations of graph transformations. Electron. Commun. EASST 58 (2013).

3. Amazon. 2017. Autoscaling. Retrieved from https://aws.amazon.com/autoscaling/. Amazon. 2017. Autoscaling. Retrieved from https://aws.amazon.com/autoscaling/.

4. A view of cloud computing

5. Karl Johan Aström and Richard M. Murray. 2010. Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press. Karl Johan Aström and Richard M. Murray. 2010. Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Development and Progress of Engineering Economics: A Retrospect and Prospect Based on Visual Analysis;Engineering Economics;2024-02-26

2. Devops for digital business;Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems;2022-05-18

3. Towards Supporting the Generation of Infrastructure as Code Through Modelling Approaches - Systematic Literature Review;2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C);2022-03

4. The views, measurements and challenges of elasticity in the cloud: A review;Computer Communications;2020-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3