dapper
发表于 2025-3-25 05:18:46
Treatment of Pancreatic Cystic Neoplasms,oin for MapReduce(NAMM) that improves performance by redistributing the workload amongst reducers. NAMM achieves this by redistributing tuples directly between reducers with an intelligent network aware algorithm. We show that our presented technique has significant potential to minimize the time required to join multiple datasets.
agglomerate
发表于 2025-3-25 10:15:14
Yuji Morine,Mitsuo Shimada,Hiroki Ishibashi30-based test platform. Results show that Takatuka is the mature, feature-rich, multi-purpose JVM near J2ME with a 50% advantage in Java byte code size. Darjeeling fits well for tiny, focused applications and offers a runtime performance bonus of up to a factor of six.
绕着哥哥问
发表于 2025-3-25 12:28:53
Immunotherapy in Pancreatic Cancer,t. In this paper we focus on user-centric aspects like privacy preserving methods to hide the users behaviour and to collect only necessary information for billing, under the assumption that an accounting system has to be integrated in the computing infrastructure and that a central interface is still desirable for billing and financial clearing.
线
发表于 2025-3-25 19:53:15
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inflate
发表于 2025-3-25 20:37:32
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出来
发表于 2025-3-26 03:22:58
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UTTER
发表于 2025-3-26 07:02:42
Secure Hadoop with Encrypted HDFS HDFS by adding the AES encrypt/decrypt class to . in Hadoop. From experiments with a small Hadoop testbed, we have shown that the representative MapReduce job on encrypted HDFS generates affordable computation overhead less than 7%.
PATRI
发表于 2025-3-26 11:55:36
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Magnitude
发表于 2025-3-26 16:12:57
Distributed Virtual Machine Monitor for Distributed Cloud Computing Nodes Integrationmonitor (CloudDVMM). We present its theoretical model, architecture and key technologies. Experiments and comparisons with existing researches show that our CloudDVMM achieves merits in architecture, extensibility, etc. and is promising for meeting the integration requirements of distributed virtual computing and cloud computing environments.
avulsion
发表于 2025-3-26 16:49:29
Network-Aware Multiway Join for MapReduceoin for MapReduce(NAMM) that improves performance by redistributing the workload amongst reducers. NAMM achieves this by redistributing tuples directly between reducers with an intelligent network aware algorithm. We show that our presented technique has significant potential to minimize the time required to join multiple datasets.