Abstract
In the rapidly evolving Cloud market, the amount of data being generated is growing continuously and as a consequence storage as a service plays an increasingly important role. In this paper, we describe and compare two new approaches, deriving from the EU funded FP7 projects OPTIMIS and VISION Cloud respectively, to filling existing gaps in Cloud storage offerings. We portray the key value-add characteristics of their designs that improve the state of the art for Cloud computing towards providing more advanced features for Cloud-based storage services.
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OPTIMIS, http://www.optimis-project.eu/
VISION Cloud, http://www.visioncloud.eu/
Amazon simple storage service (Amazon S3), http://aws.amazon.com/s3
Microsoft Windows Azure Platform, http://www.microsoft.com/azure/default.mspx
EMC Atmos storage service, http://www.emccis.com/
Google Storage for Developers, http://code.google.com/apis/storage/
Hadoop, http://hadoop.apache.org/hdfs/
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Gogouvitis, S.V., Kousiouris, G., Vafiadis, G., Kolodner, E.K., Kyriazis, D. (2012). OPTIMIS and VISION Cloud: How to Manage Data in Clouds. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_5
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DOI: https://doi.org/10.1007/978-3-642-29737-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29736-6
Online ISBN: 978-3-642-29737-3
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