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inis 14(1): e5

Research Article

A Performance Perspective on Choosing between Single Aggregate and Multiple Aggregates for GENI Experime nts

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  • @ARTICLE{10.4108/inis.1.1.e5,
        author={Zongming Fei and Ping Yi and Jianjun Yang},
        title={A Performance Perspective on Choosing between Single Aggregate and Multiple Aggregates for GENI Experime nts},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={1},
        number={1},
        publisher={ICST},
        journal_a={INIS},
        year={2014},
        month={12},
        keywords={},
        doi={10.4108/inis.1.1.e5}
    }
    
  • Zongming Fei
    Ping Yi
    Jianjun Yang
    Year: 2014
    A Performance Perspective on Choosing between Single Aggregate and Multiple Aggregates for GENI Experime nts
    INIS
    ICST
    DOI: 10.4108/inis.1.1.e5
Zongming Fei1,*, Ping Yi1, Jianjun Yang2
  • 1: Department of Computer Science, University of Kentucky, Lexington, KY 40506, USA
  • 2: Department of Computer Science, University of North Georgia, Oakwood, GA 30566, USA
*Contact email: fei@netlab.uky.edu

Abstract

The Global Environment for Network Innovations (GENI) provides a virtual laboratory for exploring future internets at scale. It consists of many geographically distributed aggregates for providing computing and networking resources for setting up network experiments. A key design question for GENI experimenters is where they should reserve the resources, and in particular whether they should reserve the resources from a single aggregate or from multiple aggregates. This not only depends on the nature of the experiment, but needs a better understanding of underlying GENI networks as well. This paper studies the performance of GENI networks, with a focus on the tradeoff between single aggregate and multiple aggregates in the design of GENI experiments from the performance perspective. The analysis of data collected will shed light on the decision process for designing GENI experiments.

Received
2014-04-30
Accepted
2014-10-29
Published
2014-12-09
Publisher
ICST
http://dx.doi.org/10.4108/inis.1.1.e5

Copyright © 2014 Z. Fei et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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