Skip to main content

Abstract

In this paper we present a job coordination service for distributed applications being executed in a Hadoop cluster based on the use of a RDF backed triple space and a RESTful web services interface. The system provides an efficient and simple coordination mechanism to resolve data dependencies between applications and it can be used at the same time as a rich source of information about the state and activity of the cluster that can be processed to build additional services and resources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sporny, K.: SON-LD Syntax 1.0, A Context-based JSON Serialization for Linking Data, online specification (2012)

    Google Scholar 

  2. Beckett, B.-L., Prud’hommeaux: Turtle Terse RDF Triple Language. W3C Working Draft (2012)

    Google Scholar 

  3. Kim, W.: Cloud architecture: a preliminary look. In: Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia. ACM (2011)

    Google Scholar 

  4. Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop Distributed File System, Yahoo. In: IEEE 26th Symposium on Mass Storage Systems and Technologies (2010)

    Google Scholar 

  5. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Google, Communications of the ACM (2008)

    Google Scholar 

  6. Prud’hommeaux, Seaborne: SPARQL Query Language for RDF. W3C Recommendation (2008)

    Google Scholar 

  7. Fensel, D.: Triple-Space Computing: Semantic Web Services Based on Persistent Publication of Information. In: Aagesen, F.A., Anutariya, C., Wuwongse, V. (eds.) INTELLCOMM 2004. LNCS, vol. 3283, pp. 43–53. Springer, Heidelberg (2004)

    Google Scholar 

  8. Fielding, R.T.: Architectural styles and the design of network-based software architectures. PhD. Thesis, University of California, Irvine (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio Garrote Hernández .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hernández, A.G., Moreno García, M.N. (2013). RESTful Triple Space Management of Cloud Architectures. In: Uden, L., Herrera, F., Bajo Pérez, J., Corchado Rodríguez, J. (eds) 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Advances in Intelligent Systems and Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30867-3_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30867-3_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30866-6

  • Online ISBN: 978-3-642-30867-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics