Abstract
JXTA is a set of platform-independent, open source peer-to-peer protocols that has become popular for building services and applications based on peer-to-peer overlays. Existing work towards evaluating one of JXTA’s core protocols, the JXTA search algorithm, has mainly focused on testbed-based experiments. Although such evaluation configurations offer accurate results based on real deployments, scaling experiments to a large number of distributed hosts is difficult and often prohibitively expensive. Furthermore, repeating experiments using different configuration parameters might yield distorted results due to the uncontrolled nature of testbeds. Simulators offer an alternative to testbeds for evaluating large-scale applications in a controlled environment.This paper presents JXTA-Sim, a simulator for studying and evaluating the JXTA search algorithm. JXTA-Sim enables researchers to study the behavior of JXTA’s search algorithm using different configuration parameters and ultimately, to test JXTA-based peer-to-peer applications.
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Esparza, S.G., Meier, R. (2010). JXTA-Sim: Simulating the JXTA Search Algorithm. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_66
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DOI: https://doi.org/10.1007/978-3-642-14883-5_66
Publisher Name: Springer, Berlin, Heidelberg
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