AMADA: Web Data Repositories in the Amazon Cloud

Conference object English OPEN
Aranda-Andújar , Andrés; Bugiotti , Francesca; Camacho-Rodríguez , Jesús; Colazzo , Dario; Goasdoué , François; Kaoudi , Zoi; Manolescu , Ioana;
(2012)
  • Publisher: HAL CCSD
  • Subject: ACM : H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.1: Distributed databases | [ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB] | ACM : H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.5: Query processing | ACM : H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.0: Concurrency

International audience; We present AMADA, a platform for storing Web data (in particular, XML documents and RDF graphs) based on the Amazon Web Services (AWS) cloud infrastructure. AMADA operates in a Software as a Service (SaaS) approach, allowing users to upload, inde... View more
  • References (14)
    14 references, page 1 of 2

    [1] D. Battre, S. Ewen, F. Hueske, O. Kao, V. Markl, and D. Warneke. Nephele/PACTs: a programming model and execution framework for web-scale analytical processing. In SoCC, 2010.

    [2] M. Brantner, D. Florescu, D. A. Graf, D. Kossmann, and T. Kraska. Building a database on S3. In SIGMOD, 2008.

    [3] F. Bugiotti, F. Goasdoue, Z. Kaoudi, and I. Manolescu. RDF data management in the Amazon Cloud. In DanaC Workshop (collocated with EDBT/ICDT), 2012.

    [4] J. Camacho-Rodr guez, D. Colazzo, and I. Manolescu. Building Large XML Stores in the Amazon Cloud. In DMC Workshop (collocated with ICDE), 2012.

    [5] J. Dean and S. Ghemawat. MapReduce: Simpli ed Data Processing on Large Clusters. In OSDI, 2004.

    [6] L. Fegaras, C. Li, U. Gupta, and J. Philip. XML Query Optimization in Map-Reduce. In WebDB, 2011.

    [7] J. Huang, D. J. Abadi, and K. Ren. Scalable SPARQL querying of large RDF graphs. PVLDB, 4(11), 2011.

    [8] M. Husain, J. McGlothlin, M. M. Masud, L. Khan, and B. M. Thuraisingham. Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing. IEEE Trans. on Knowl. and Data Eng., 2011.

    [9] V. Kantere, D. Dash, G. Gratsias, and A. Ailamaki. Predicting cost amortization for query services. In SIGMOD, 2011.

    [10] S. Khatchadourian, M. P. Consens, and J. Simeon. Having a ChuQL at XML on the Cloud. In A. Mendelzon Int'l. Workshop, 2011.

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