Online scheduling on unbounded parallel-batch machines with incompatible job families

AbstractWe consider online scheduling on m parallel-batch machines where the batch capacity is unbounded and the jobs belong to m incompatible job families. By incompatible job families, we mean that jobs from different families cannot be processed together in the same batch. The processing time of a job becomes known only upon its arrival. The objective is to minimize the makespan. The problem is difficult to solve so we consider the case where the number of families is equal to the number of machines. We give a lower bound 5+12≈1.618 on the competitive ratio of any online algorithm for this restricted problem. We also provide an online algorithm Hm(θ), where θ∈(0,1) is a parameter, and show that its competitive ratio is no less than 1+105≈1.632. When m=2 or under the condition that jobs belonging to the same family have identical processing times, we show that Hm(α), where α=5−12, is a best possible online algorithm. When m≥3, we prove that Hm(β), where β=2−1, has a competitive ratio no greater than 1+1β+1≈1.707