TY - JOUR
T1 - Relative Interval Analysis of Paging Algorithms on Access Graphs
AU - Boyar, Joan
AU - Gupta, Sushmita
AU - Larsen, Kim Skak
PY - 2015/2/23
Y1 - 2015/2/23
N2 - Access graphs, which have been used previously in connection to competitive analysis and relative worst order analysis to model locality of reference in paging, are considered in connection with relative interval analysis. The algorithms LRU, FIFO, FWF, and FAR are compared using the path, star, and cycle access graphs. In this model, some of the results obtained are not surprising. However, although LRU is found to be strictly better than FIFO on paths, it has worse performance on stars, cycles, and complete graphs, in this model. We solve an open question from Dorrigiv et al. (2009) [13], obtaining tight bounds on the relationship between LRU and FIFO with relative interval analysis.
AB - Access graphs, which have been used previously in connection to competitive analysis and relative worst order analysis to model locality of reference in paging, are considered in connection with relative interval analysis. The algorithms LRU, FIFO, FWF, and FAR are compared using the path, star, and cycle access graphs. In this model, some of the results obtained are not surprising. However, although LRU is found to be strictly better than FIFO on paths, it has worse performance on stars, cycles, and complete graphs, in this model. We solve an open question from Dorrigiv et al. (2009) [13], obtaining tight bounds on the relationship between LRU and FIFO with relative interval analysis.
U2 - 10.1016/j.tcs.2014.11.035
DO - 10.1016/j.tcs.2014.11.035
M3 - Journal article
SN - 0304-3975
VL - 568
SP - 28
EP - 48
JO - Theoretical Computer Science
JF - Theoretical Computer Science
ER -