@inproceedings{14c0b6ffa46d4203ad0903523c8e6069,
title = "Analyzing Multi-tenant Cloud Services' Accountability",
abstract = "Analyzing accountability violations and identifying the guilty party is a challenging process especially where multiple tenants are hosted by a single application instance. To handle this issue, we propose an approach for accountability violation analysis. It is based on service patterns as an abstract model to provide reusable and suitable description of the different characteristics of the analysis process, and an algorithm for pattern selection and instantiation. Furthermore, we propose a middleware layer for implementing our approach on the top of application level.",
keywords = "Cloud computing, accountability, evidence, multi-tenancy, service pattern",
author = "Fatma Masmoudi and Mohamed Sellami and Monia Loulou and Kacem, \{Ahmed Hadj\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on E-Business Engineering, ICEBE 2015 ; Conference date: 23-10-2015 Through 25-10-2015",
year = "2015",
month = dec,
day = "8",
doi = "10.1109/ICEBE.2015.48",
language = "English",
series = "Proceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--244",
editor = "Yinsheng Li and Kuo-Ming Chao and Jen-Yao Chung and Xiang Fei",
booktitle = "Proceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015",
}