Competitive distributed job scheduling (extended abstract)

Abstract
This paper examines the problem of balancing the job load in a network of processors, and introduces an online algorithm for scheduling a sequence of jobs in a competitive manner. The algorithm is shown to be polylog (n)-competitive according to a strict definition that forces the online algorithm to be competitive even when considering any bounded area of the network and bounded period of time.We also analyze the common greedy feedback-based approach, and provide matching lower and upper bounds (up to a polylogarithmic factor) for the tradeoff between the costs of searches and updates under this approach.

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