Online variable-sized bin packing with conflicts
Discrete Optimization
A new variable-sized bin packing problem
Journal of Scheduling
A new approach to the job scheduling problem in computational grids
Cluster Computing
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We study a new kind of on-line bin packing, motivated by a problem arising when scheduling jobs on the Grid. In this bin packing problem, the set of items is given at the beginning, and variable-sized bins arrive one by one. We analyze the problem using both the competitive ratio and the relative worst order ratio, observing that the two measures often lead to different conclusions. A closely related problem was introduced by Zhang (Discrete Appl. Math. 72:193–197, 1997). Our main result answers a question posed in that paper in the affirmative: we give an algorithm with a competitive ratio strictly better than 2, for our problem as well as Zhang’s problem. For identical bins, the new algorithm has essentially the same performance as FFD (First-Fit-Decreasing).