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Lookup NU author(s): Professor Nick Holliman,
Professor Paul Watson
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© 2015 IEEE. Visualizing big data is a computationally intensive task that most users undertake on an exploratory basis. The need for scalable computational power coupled with varied usage patterns makes it a strong candidate for cloud computing. With the recent availability of graphics hardware as infrastructure in the cloud it is now realistic to execute interactive visualization remotely as a software service. The authors review software architectures that can deliver cloud-based interactive visualization, highlight the key systems challenges to support this, and predict how scalable computing power in the cloud will make transformative changes to the way visualization is implemented and delivered to users.
Author(s): Holliman N, Watson P
Publication type: Article
Publication status: Published
Journal: IEEE Cloud Computing
Online publication date: 01/11/2015
Acceptance date: 01/01/1900
ISSN (electronic): 2325-6095
Publisher: Institute of Electrical and Electronics Engineers Inc.
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