Hybrid Cloud SLAs for Industry 4.0: Bridging the Gap

Author:

Dhirani Lubna Luxmi,Newe Thomas

Abstract

Hybrid Cloud Service Level Agreements (SLA) comprises of the legal terms and conditions for the cloud contract. Even though all the service level objectives, metrics and service descriptions are clearly outlined in the cloud SLA contract, sometimes vendors fail to meet the promised services and confusing terms lead to tenant-vendor cloud legal battles. Hybrid Cloud involves two different cloud models (public and private) working together, applications running under the hybrid cloud are subject to different availability sets, functionality and parameters developing SLA complexity and ambiguity. The new manufacturing environment (Industry 4.0 concept) is based on a fully connected, intelligent and automated factory, which will highly be dependent on cloud computing and IoT-based solutions for data analytics, storage and computational needs. In situations where Hybrid cloud services are not defined and managed properly may result in Industrial-IoT data security issues leading to financial and data losses. This paper discusses various aspects of the cloud service level agreement in Industry 4.0 for better understanding and implementation and puts a light on the issues that arise out of imprecise statements.

Publisher

International Association for Educators and Researchers (IAER)

Subject

Electrical and Electronic Engineering,General Computer Science

Reference31 articles.

1. Buyya, R, Broberg, J. and Goscinski, A. (2011). Cloud Computing Principles and Paradigms: John Wiley & Sons, Inc.

2. Keller, A., Ludwig, H. (2002). Defining and Monitoring Service Level Agreements for dynamic e-Business. In: Proceedings of the 16th System Administration Conference (LISA 2002). Available: https://dl.acm.org/doi/10.5555/1050517.1050540.

3. Dhirani, L. L., Newe, T., & Nizamani, S. (2020). Hybrid Multi-Cloud Demystifying SLAs for Smart City Enterprises Using IoT Applications. In IoT Architectures, Models, and Platforms for Smart City Applications (pp. 52-67). IGI Global. DOI: 10.4018/978-1-7998-1253-1.ch003.

4. Paschke, A., Bichler, M. (2008) Knowledge representation concepts for automated SLA management. Decision Support Systems Vol. 46, pp. 187-205. Elsevier.

5. Paschke, A., Kozlenkov, A., and Boley, H. (2007). A homogenous reaction rules language for complex event processing. International Workshop on Event Drive Architecture for Complex Event Process (EDA-PS 2007) Vienna, Austria.

Cited by 5 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

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