Title :
A runtime sharing mechanism for Big Data platforms
Author :
Shtern, Mark ; Litoiu, Marin
Author_Institution :
York Univ., York, ON, Canada
Abstract :
In order to extract value from Big Data, a data source provider has to share data among many consumers. As such, data sharing becomes an important feature of Big Data platforms. However, privacy concerns are the key obstacles that prevent organizations from implementing data sharing solutions. Moreover, currently, the data owner is responsible for preparing the data before releasing it to a 3rd party. The preparation of data for release is a complex task and can become an obstacle. In this paper, we propose an ecosystem which enables data sharing responsibilities among producers and consumers and mitigates some of the obstacles.
Keywords :
Big Data; data privacy; big data platforms; data sharing responsibilities; data source provider; ecosystem; privacy concerns; runtime sharing mechanism; Algorithm design and analysis; Big data; DSL; Data privacy; Ecosystems; Privacy; big data; public cloud;
Conference_Titel :
Network and Service Management (CNSM), 2014 10th International Conference on
Conference_Location :
Rio de Janeiro
DOI :
10.1109/CNSM.2014.7014180