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Publications by Googlers in Distributed Systems and Parallel Computing

Other categories may be found here.

Under Google's decentralized research model, we've been able to build an industry-leading systems infrastructure, while allowing the same engineers that have contributed to those innovations to remain members of the research community. The impact of their research is amplified by the fact that their ideas have usually been tested through real product implementation by the time of publication. Google's systems research portfolio has to a significant degree established the state-of-the-art for how cloud computing should be architected (e.g., map-reduce and very large-scale cluster computing), with publications that range from cluster architecture and energy efficiency to distributed file systems and cluster-level programming models.

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