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Service Quality Assurance in Multi-clouds

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Economics of Grids, Clouds, Systems, and Services (GECON 2015)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9512))

Abstract

A particular problem of cloud environments is the assurance of a certain level of service quality. The problem is escalated in the case of building support platforms for using multiple clouds. Various partial solutions to ensure a certain quality level of the cloud services have been investigated in the last half decade. This paper analyzes the existing approaches to define, model, evaluate, estimate, measure of optimize the quality of services offered to cloud-based applications. A particular approach is detailed, the one that uses model-driven engineering techniques. Moreover, the special case of designing data-intensive applications, the appropriate quality of service attributes are identified.

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Notes

  1. 1.

    www.modaclouds.eu.

  2. 2.

    Available at http://www.modaclouds.eu/software/open-source-repositories/ as open-source codes.

  3. 3.

    www.cloudml.org.

  4. 4.

    www.dice-h2020.eu.

  5. 5.

    Current representative solutions: Hadoop and Spark.

  6. 6.

    Current representative solutions: Apache Storm, Apache Spark Streaming, Apache Samza, Apache S4, STReamparse, Stratio.

  7. 7.

    Current representative solutions: Amazon DynamoDB and SimpleDB, Google Datastore, Azure DocumentDB, Apache HBase, Cassandra, Hypertable, MongoDB, CouchDB, Riak, Redis, Berkeley DB, Dyomite.

  8. 8.

    Current representative solutions: Apache Derby, HyperSQL, SQLite.

  9. 9.

    Current representative solutions: Ceph and Amazon S3.

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Acknowledgements

The analysis presented in Sects. 2 and 3 is partially funded by the grant of Romanian National Authority for Scientific Research, UEFISCDI, PN-II-ID-PCE-2011-3-0260 (AMICAS). Section 4 refers to the final results of the grant of European Commission FP7-ICT-2011-8-318484 (MODAClouds). Section 5 refers to the preliminary results of the grant of European Commission H2020-ICT-09-2014-644869 (DICE).

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Authors and Affiliations

  1. West University of Timişoara and Institute e-Austria Timişoara, Timişoara, Romania

    Dana Petcu

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  1. Dana Petcu
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Correspondence to Dana Petcu .

Editor information

Editors and Affiliations

  1. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

  2. Babeș-Bolyai University , Cluj-Napoca, Romania

    Gheorghe Cosmin Silaghi

  3. Cardiff University , Cardiff, United Kingdom

    Omer F. Rana

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Petcu, D. (2016). Service Quality Assurance in Multi-clouds. In: Altmann, J., Silaghi, G., Rana, O. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2015. Lecture Notes in Computer Science(), vol 9512. Springer, Cham. https://doi.org/10.1007/978-3-319-43177-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-43177-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43176-5

  • Online ISBN: 978-3-319-43177-2

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