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A service lookup algorithm based on the proposed distributed architecture searches for the shortest physical path to the nearest service resource.
Our simulations and comparative studies demonstrate that HPM can achieve satisfactory P2P performance with rapid convergence thanks to the cost-optimal lookup algorithm.
In this work we propose, implement, and test various optimizations of the typical energy grid-cross section pair lookup algorithm in Monte Carlo particle transport codes.
We propose an index structure that builds inverted lists on carefully chosen token-sets and a lookup algorithm using our index that is sensitive to the output size of the query.
In this paper, we systematically examine the three orthogonal dimensions to design a peer-to-peer Web caching system, including the caching algorithm, the document lookup algorithm, and the peer granularity.
Taking advantage of flow-net based logs, we propose a flow-net based fingerprinting (FNF) scheme to capture system or network behaviors, and design a fingerprint lookup algorithm to solve the fingerprint matching problem, i.e., to determine whether a flow-net log contains the behavior characterized by some behavior fingerprints.
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We also simulate our algorithm against other location lookup algorithms on a realistic model of a geographical area to evaluate critical system performance measures.
The data structures for lookup algorithms can consist of simple binary trees and tries or can be implemented in hardware-supported ternary content-addressable memory.
Four different document lookup algorithms are compared and evaluated in the context of four different peer granularities, i.e., host level, organization level, building level, and centralized.
This paper proposes a new pipeline design called the linear pipelined IPv6 lookup architecture that overcomes the shortcomings of the POLP (parallel optimized linear pipeline) and BPFL (balanced parallelized frugal lookup) algorithms.
The MIHT is an algorithm that has outperformed several other IP lookup algorithms [18].
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