TUM Logo

A process model to support continuous certification of cloud services

Current research on cloud service certification is working on techniques to continuously, i.e. automatically and repeatedly, assess whether cloud services satisfy certification criteria. However, traditional certifications are conducted following static processes which are not designed to meet the requirements of continuous certification techniques. In this paper, we address this gap by redesigning the traditional certification process and adding suitable tooling to support continuous certification of cloud services. To that end, we analyze and generalize traditional certification processes and, on this basis, develop a novel, executable process model to detect ongoing changes of cloud services and adapt continuous certification techniques accordingly. We present our prototype which implements the process model and show how it allows us to automatically reconfigure continuous certification techniques according to changes observed in the target of certification as well as to continuously report certification results.

A process model to support continuous certification of cloud services

AINA 2017, 31st IEEE International Conference on Advanced Information Networking and Applications

Authors: Immanuel Kunz and Phlilipp Stephanow
Year/month: 2017/3
Booktitle: AINA 2017, 31st IEEE International Conference on Advanced Information Networking and Applications
Pages: 27-29
Address: Tamkang University, Taipei, Taiwan Piscataway
Publisher: IEEE
Fulltext: click here

Abstract

Current research on cloud service certification is working on techniques to continuously, i.e. automatically and repeatedly, assess whether cloud services satisfy certification criteria. However, traditional certifications are conducted following static processes which are not designed to meet the requirements of continuous certification techniques. In this paper, we address this gap by redesigning the traditional certification process and adding suitable tooling to support continuous certification of cloud services. To that end, we analyze and generalize traditional certification processes and, on this basis, develop a novel, executable process model to detect ongoing changes of cloud services and adapt continuous certification techniques accordingly. We present our prototype which implements the process model and show how it allows us to automatically reconfigure continuous certification techniques according to changes observed in the target of certification as well as to continuously report certification results.

Bibtex:

@inproceedings { stephanowProcess2017,
author = { Immanuel Kunz and Phlilipp Stephanow},
title = { A process model to support continuous certification of cloud services },
year = { 2017 },
month = { March },
booktitle = { AINA 2017, 31st IEEE International Conference on Advanced Information Networking and Applications },
address = { Tamkang University, Taipei, Taiwan Piscataway },
pages = { 27-29 },
publisher = { IEEE },
url = { http://dx.doi.org/10.1109/AINA.2017.106 },

}