Abstract
The benefits of Cloud Computing are now widely recognised, in terms of easy, flexible, scalable and cost effective deployment of services and storage. At the same time, the growth in Big Data solutions is offering a plethora of new service opportunities. However, significant barriers of trust and privacy concerns are slowing the adoption of Big Data cloud services.
In this paper we describe how a Visual Analytics system can be flexibly deployed via a multi-cloud application store. The supporting infrastructure (IaaS) is protected via innovative security protection capabilities, while associated Big Data resources can be protected via encryption and access control.
The novel Visual Analytics capability makes analysis of Big Data in the cloud easier and faster, thereby empowering data analysts with attractive new tools, while the security features help to tackle issues of privacy and trust for big data cloud deployments.
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Acknowledgements
The authors would like to thank fellow members of EIT Digital’s MCloudDaaS project for useful discussions and EIT Digital for their support in making this research and innovation possible.
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Shackleton, M. et al. (2016). Deploying Visual Analytics Through a Multi-cloud Service Store with Encrypted Big Data (Short Paper). In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_55
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DOI: https://doi.org/10.1007/978-3-319-48472-3_55
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