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Unique Radio Innovation for the 21st Century pp 203–227Cite as

Evaluating Discovery Services Architectures in the Context of the Internet of Things

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Abstract

As the “Internet of Things” is expected to grow rapidly in the following years, the need to develop and deploy efficient and scalable Discovery Services in this context is very important for its success. Thus, the ability to evaluate and compare the performance of different Discovery Services architectures is vital if we want to allege that a given design is better at meeting requirements of a specific application. The purpose of this chapter is to provide a paradigm for the evaluation of different Discovery Services for the Internet of Things in terms of efficiency, scalability and performance through the use of simulations. The methodology presented uses the application of Discovery Services to a supply chain with the Service Lookup Service Discovery Service using OMNeT++, an open source network simulation suite. Then, we delve into the simulation design and the details of our findings.

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Author information

Authors and Affiliations

  1. Department of Management Science and Technology, ELTRUN Research Lab, Athens University of Economics & Business, Athens, Greece

    Elias Polytarchos, Stelios Eliakis & Dimitris Bochtis

  2. Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece

    Katerina Pramatari

Authors
  1. Elias Polytarchos
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  2. Stelios Eliakis
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  3. Dimitris Bochtis
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  4. Katerina Pramatari
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Corresponding author

Correspondence to Elias Polytarchos .

Editor information

Editors and Affiliations

  1. School of Electrical & Electronic, Engineering, University of Adelaide, Adelaide, 5005, Australia

    Damith C. Ranasinghe

  2. School of Electrical & Electronic, Engineering, University of Adelaide, Adelaide, 5005, Australia

    Quan Z. Sheng

  3. Dept. Computer Science &, Information Technology, University of the District of Columbia, Connecticut Ave. NW., 4200, Washington, 20008, USA

    Sherali Zeadally

Appendix A

Appendix A

Below, the results of the different simulation experiments are presented. On each diagram, the horizontal axis represents the time. The vertical axis can either be the number of objects, when the diagrams refer to sales, or number of hits, when the diagrams refer to load.

1.1 Scenario 1: 12 Retail Stores – Low Volume of Sales – EPC Addressing

Fig. 4
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Sales per retailer

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Object directory load

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Object service directory server load

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1.2 Scenario 2: 12 Retail Stores – High Volume of Sales – EPC Addressing

Table 4 Scenario specifications
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Sales per retailer

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Object service directory server load

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1.3 Scenario 3: 12 Retail Stores – High Volume of Sales – EPC Addressing

Table 5 Scenario specifications
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Sales per retailer

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Object service directory server load

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1.4 Scenario 4: 20 Retail Stores – Low Volume of Sales – EPC Addressing

Table 6 Scenario specifications
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Sales per retailer

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Object service directory server load

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1.5 Scenario 5: 20 Retail Stores – High Volume of Sales – EPC Addressing

Table 7 Scenario specifications
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Sales per retailer

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Object service directory server load

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1.6 Scenario 6: 20 Retail Stores – High Volume of Sales – EPC Addressing

Table 8 Scenario specifications
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Sales per retailer

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Object service directory server load

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1.7 Scenario 7: 12 Retail Stores – High Volume of Sales – EPC Addressing

Table 9 Scenario specifications
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Fig. 17
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Sales per retailer

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Fig. 18
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Object service directory server load

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© 2011 Springer-Verlag Berlin Heidelberg

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Polytarchos, E., Eliakis, S., Bochtis, D., Pramatari, K. (2011). Evaluating Discovery Services Architectures in the Context of the Internet of Things. In: Ranasinghe, D., Sheng, Q., Zeadally, S. (eds) Unique Radio Innovation for the 21st Century. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03462-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-03462-6_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03461-9

  • Online ISBN: 978-3-642-03462-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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