2013 IEEE 5th International Conference on Cloud Computing Technology and Science (2013)
Bristol, United Kingdom United Kingdom
Dec. 2, 2013 to Dec. 5, 2013
Cloud governance, and in particular data governance in the cloud, relies on different technical and organizational practices and procedures, such as policy enforcement, risk management, incident management and remediation. The concept of accountability encompasses such practices, and is essential for enhancing security and trustworthiness in the cloud. Besides this, proper measurement of cloud services, both at a technical and governance level, is a distinctive aspect of the cloud computing model. Hence, a natural problem that arises is how to measure the impact on accountability of the procedures held in practice by organizations that participate in the cloud ecosystem. In this paper, we describe a metamodel for addressing the problem of measuring accountability properties for cloud computing, as discussed and defined by the Cloud Accountability Project (A4Cloud). The goal of this metamodel is to act as a language for describing: (i) accountability properties in terms of actions between entities, and (ii) metrics for measuring the fulfillment of such properties. It also allows the recursive decomposition of properties and metrics, from a high-level and abstract world to a tangible and measurable one. Finally, we illustrate our proposal of the metamodel by modelling the transparency property, and define some metrics for it.
Context, Cloud computing, Organizations, Atmospheric measurements, Particle measurements, Computational modeling,Accountability, Metrics, Non-functional properties, Metamodel, Cloud computing
David Nunez, Carmen Fernandez-Gago, Siani Pearson, Massimo Felici, "A Metamodel for Measuring Accountability Attributes in the Cloud", 2013 IEEE 5th International Conference on Cloud Computing Technology and Science, vol. 01, no. , pp. 355-362, 2013, doi:10.1109/CloudCom.2013.53