JOURNAL ARTICLE

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:
Accountability Computer science Cloud computing Middleware (distributed applications) Process (computing) Selection (genetic algorithm) Service (business) Layer (electronics) Computer security Distributed computing Database Operating system Artificial intelligence Business

Metrics

3
Cited By
1.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
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