A Best Possible Algorithm for Online Unbounded Batch Scheduling with Two Incompatible Families to Minimize Maximum Flow Time
摘要
We study an online scheduling problem on m identical parallel batch machines to minimize the maximum flow time, where the batch capacity is unbounded and the flow time of a job is the difference of its completion time and arrival time. Jobs with unit processing times arrive online over time. There are two incompatible job families, where jobs in different families cannot be processed in the same batch. For this problem, we develop a lower bound of competitive ratio and provide a best possible online algorithm with the competitive ratio of