Authors:
Uwe Hohenstein
1
;
Michael C. Jaeger
1
and
Spyridon V. Gogouvitis
2
Affiliations:
1
Corporate Technology and Siemens AG Munich, Germany
;
2
Mobility Management and Siemens AG Munich, Germany
Keyword(s):
Cloud Storage, Federation, Multi-criteria.
Related
Ontology
Subjects/Areas/Topics:
Architectural Concepts
;
Data Engineering
;
Data Management and Quality
;
Database Architecture and Performance
;
Databases and Data Security
Abstract:
In the area of storage, various services and products are available from several providers. Each product possesses
particular advantages of its own. For example, some systems are offered as cloud services, while others
can be installed on premises, some store redundantly to achieve high reliability while others are less reliable
but cheaper. In order to benefit from the offerings at a broader scale, e.g., to use specific features in some
cases while trying to reduce costs in others, a federation is beneficial to use several storage tools with their
individual virtues in parallel in applications. The major task of a federation in this context is to handle the
heterogeneity of involved systems. This work focuses on storing large objects, i.e., storage systems for videos,
database archives, virtual machine images etc. A metadata-based approach is proposed that uses the metadata
associated with objects and containers as a fundamental concept to set up and manage a federation and
to control
storage locations. The overall goal is to relieve applications from the burden to find appropriate storage
systems. Here a multi-criteria approach comes into play. We show how to extend the object storage developed
by the VISION Cloud project to support federation of various storage systems in the discussed sense.
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