TY - GEN
T1 - Online scheduling on two uniform machines to minimize the makespan with a periodic availability constraint
AU - Liu, Ming
AU - Chu, Chengbin
AU - Xu, Yinfeng
AU - Wang, Lu
PY - 2010
Y1 - 2010
N2 - We consider the problem of online scheduling on 2 uniform machines where one machine is periodically unavailable. The problem is online in the sense that when a job presents, we have to assign it to one of the 2 uniform machines before the next one is seen. Preemption is not allowed. The objective is to minimize makespan. Assume that the speed of the periodically unavailable machine is normalized to 1, while the speed of the other one is s. Given a constant number α > 0, we also suppose that Tu = αT a, where Tu and Ta are the length of each unavailable time period and the length of the time interval between two consecutive unavailable time periods, respectively. In the case where s ≥ 1, we show a lower bound of the competitive ratio 1 + 1/s and prove that LS algorithm is optimal. We also show that for the problem P2,M1PU|online, T u = αTa|Cmax, LS algorithm proposed in [7] is optimal with a competitive ratio 2. After that, we give some lower bounds of competitive ratio in the case 0 < s < 1. At last, we study a special case P2,M1PU|online, Tu = αTa, non - increasing sequence|Cmax, where non-increasing sequence means that jobs arrive in a non-increasing order of their processing times. We show that LS algorithm is optimal with a competitive ratio 3/2.
AB - We consider the problem of online scheduling on 2 uniform machines where one machine is periodically unavailable. The problem is online in the sense that when a job presents, we have to assign it to one of the 2 uniform machines before the next one is seen. Preemption is not allowed. The objective is to minimize makespan. Assume that the speed of the periodically unavailable machine is normalized to 1, while the speed of the other one is s. Given a constant number α > 0, we also suppose that Tu = αT a, where Tu and Ta are the length of each unavailable time period and the length of the time interval between two consecutive unavailable time periods, respectively. In the case where s ≥ 1, we show a lower bound of the competitive ratio 1 + 1/s and prove that LS algorithm is optimal. We also show that for the problem P2,M1PU|online, T u = αTa|Cmax, LS algorithm proposed in [7] is optimal with a competitive ratio 2. After that, we give some lower bounds of competitive ratio in the case 0 < s < 1. At last, we study a special case P2,M1PU|online, Tu = αTa, non - increasing sequence|Cmax, where non-increasing sequence means that jobs arrive in a non-increasing order of their processing times. We show that LS algorithm is optimal with a competitive ratio 3/2.
KW - Competitive analysis
KW - Makespan
KW - Online scheduling
KW - Periodic availability constraint
KW - Uniform machines
UR - https://www.scopus.com/pages/publications/79956310117
U2 - 10.1007/978-3-642-14355-7_20
DO - 10.1007/978-3-642-14355-7_20
M3 - 会议稿件
AN - SCOPUS:79956310117
SN - 3642143547
SN - 9783642143540
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 191
EP - 198
BT - Algorithmic Aspects in Information and Management - 6th International Conference, AAIM 2010, Proceedings
T2 - 6th International Conference on Algorithmic Aspects in Information and Management, AAIM 2010
Y2 - 19 July 2010 through 21 July 2010
ER -