We study the performance of obliviousroutingalgorithms that follow minimal (shortest) paths, referred to as minimal oblivious routing algorithms in this paper, using competitive analysis on a d-dimensional, N = 2(d)...
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We study the performance of obliviousroutingalgorithms that follow minimal (shortest) paths, referred to as minimal oblivious routing algorithms in this paper, using competitive analysis on a d-dimensional, N = 2(d)-node hypercube. We assume that packets are injected into the hypercube arbitrarily and continuously, without ally (e.g., probalilistic) assumption on the arrival pattern of the packets. minimalalgorithms reduce the total load in the network in the first place and they preserve locality. First we show that the well known deterministic obliviousrouting algorithm, namely, the greedy routing algorithm, has competitive ratio Omega (N-1/2). Then we show a problem lower bound of Omega (N-log2(5/4)/log(5) N). We also give a natural randomized minimalobliviousrouting algorithm whose competitive ratio is close to thr problem lower bound we provide.
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