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Quality of Service on Services Selection using Anycast Techniques: a Convergence Analysis

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conference contribution
posted on 07.05.2015, 10:05 by L. J. Adami, J. C. Estrella, Stephan Reiff-Marganiec, R. M. D. O. Libardi
Anycast is an effective technique to select system servers among many and by spreading client requests achieve high performance and scalability. In our previous work, we presented the Global Application Layer Anycast (GALA) system. By combining real time network distances measures and geolocation, it performed better than its inherited algorithm, GAA. In this work we analyze how fast the GALA algorithm can find the best server to attend a client request and comparing its convergence to GAA. Using simulations, we show that it converges much faster and we propose a maximum selection time metric to be used in the selection process. Experimental results reveal that the GALA algorithm is two times better than the GAA considering the metric proposed.

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Citation

Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science

Source

IFIP/IEEE IM 2015, Ottawa, Canada

Version

AM (Accepted Manuscript)

Published in

Integrated Network Management (IM)

issn

1573-0077

Copyright date

2015

Available date

24/02/2017

Publisher version

http://ieeexplore.ieee.org/abstract/document/7140381/

Temporal coverage: start date

11/05/2015

Temporal coverage: end date

15/05/2015

Language

en

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