01790nas a2200205   4500008004100000245009400041210006900135260000900204300001400213490000700227520106500234653002001299653002901319653002601348653003201374653002601406100001601432700001901448856011701467       2013                        eng d00aOrchestrating the natural language processing software in the cloud computing environment0 aOrchestrating the natural language processing software in the cl  c2013  a396 - 3990 v113 aThe most of natural language processing problems are data-intensive. An important step in the distributed orchestration of natural language processing software is a rational choice of the specific middleware. The middleware should solve the presented problem with minimal deployment, support and usage costs. It is necessary to run and use that software in the distributed cloud computing environment to achieve such advantages such as consolidation, isolation, and efficient use of the existent infrastructure. It is often impossible to modify the existent natural language processing software to integrate it into the cloud computing environment because of licensing or organizational issues. This paper studies various popular distributed data processing tools and evaluates the selected natural language processing tools on a relatively large document collection in distributed way using the Gearman framework. The document collection is a 10'000 sentences from the Russian news subcorpus of the Leipzig corpora. The benchmarks are presented and discussed.10aCloud computing10aData-intensive computing10aDistributed computing10aNatural Language Processing10aService orchestration1 aUstalov, D.1 aGoldshtein, M.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84890443570&partnerID=40&md5=80168707d25eb1e8a3acabfb35fdf93f