Algorithms and Framework for Comparison of Bee-Intelligence Based Peer-to-Peer Lookup
Peer-to-peer has proven to be a scalable technology for retrieval of information that is widely spread among distributed sites and that is subject to dynamic changes.However, selection of a right search algorithm depends on many factors related to actual data content and application problem at hand.A comparison of different algorithms is difficult, especially if many different ap proaches (intelligent or unintelligent ones) shall be evaluated fairly and possibly also in combinations.In this paper, we describe a generic architectural pattern that serves as an overlay network based on autonomous agents and decentra lized control.It supports plugging of different algorithms for searching and retrieving data, and thus eases comparison of algorithms in various topology configurations.A further novelty is to use bee intelligence for the lookup prob lem, spot optimal parameters settings, and evaluate the bee algorithm by using the architectural pattern to benchmark it with other algorithms.
information retrieval lookup mechanism bee intelligence distributed coordination patterns
Vesna (S)e(s)um-(C)avi(c) Eva Kühn
Technical University Vienna, Institute of Computer Languages, Argentinierstrasse 8, 1040 Wien, Austria
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
404-413
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）