TY - GEN
T1 - Poisson distribution-based page updating prediction strategy
AU - Jiang, Yuanshu
AU - Tang, Wenzhong
PY - 2011
Y1 - 2011
N2 - A kind of method predicting the updating period of page is proposed, using the Poisson distribution-based model suggested by Brewington in studying page updating of search engine. This method calculates the expectation of page updating period with Newton iteration method according to historical statistical data then applies it in the subsequent updating strategy, also revises it in the practice in order to approach the real value; its goal is to get a good balance between freshness and resource utilization. Compared to traditional grouping-by-frequency method, algorithm complexity reduces significantly.
AB - A kind of method predicting the updating period of page is proposed, using the Poisson distribution-based model suggested by Brewington in studying page updating of search engine. This method calculates the expectation of page updating period with Newton iteration method according to historical statistical data then applies it in the subsequent updating strategy, also revises it in the practice in order to approach the real value; its goal is to get a good balance between freshness and resource utilization. Compared to traditional grouping-by-frequency method, algorithm complexity reduces significantly.
KW - Newton iteration method
KW - Poisson distribution
KW - expectations prediction
KW - updating frequency
UR - https://www.scopus.com/pages/publications/84860573573
U2 - 10.1109/ICCSNT.2011.6182119
DO - 10.1109/ICCSNT.2011.6182119
M3 - 会议稿件
AN - SCOPUS:84860573573
SN - 9781457715846
T3 - Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
SP - 953
EP - 956
BT - Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
T2 - 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
Y2 - 24 December 2011 through 26 December 2011
ER -