TY - GEN
T1 - Online Bounded Analysis
AU - Boyar, Joan
AU - Epstein, Leah
AU - Favrholdt, Lene Monrad
AU - Larsen, Kim Skak
AU - Levin, Asaf
PY - 2016
Y1 - 2016
N2 - Though competitive analysis is often a very good tool for the analysis of online algorithms, sometimes it does not give any insight and sometimes it gives counter-intuitive results. Much work has gone into exploring other performance measures, in particular targeted at what seems to be the core problem with competitive analysis: the comparison of the performance of an online algorithm is made to a too powerful adversary. We consider a new approach to restricting the power of the adversary, by requiring that when judging a given online algorithm, the optimal offline algorithm must perform as well as the online algorithm, not just on the entire final request sequence, but also on any prefix of that sequence. This is limiting the adversary’s usual advantage of being able to exploit that it knows the sequence is continuing beyond the current request. Through a collection of online problems, including machine scheduling, bin packing, dual bin packing, and seat reservation, we investigate the significance of this particular offline advantage.
AB - Though competitive analysis is often a very good tool for the analysis of online algorithms, sometimes it does not give any insight and sometimes it gives counter-intuitive results. Much work has gone into exploring other performance measures, in particular targeted at what seems to be the core problem with competitive analysis: the comparison of the performance of an online algorithm is made to a too powerful adversary. We consider a new approach to restricting the power of the adversary, by requiring that when judging a given online algorithm, the optimal offline algorithm must perform as well as the online algorithm, not just on the entire final request sequence, but also on any prefix of that sequence. This is limiting the adversary’s usual advantage of being able to exploit that it knows the sequence is continuing beyond the current request. Through a collection of online problems, including machine scheduling, bin packing, dual bin packing, and seat reservation, we investigate the significance of this particular offline advantage.
U2 - 10.1007/978-3-319-34171-2_10
DO - 10.1007/978-3-319-34171-2_10
M3 - Article in proceedings
SN - 978-3-319-34170-5
T3 - Lecture Notes in Computer Science
SP - 131
EP - 145
BT - Computer Science – Theory and Applications
A2 - Kulikov, Alexander S.
A2 - Woeginger, Gerhard J.
PB - Springer
T2 - 11th International Computer Science Symposium in Russia
Y2 - 9 June 2016 through 13 September 2016
ER -