Results 191 to 200 of about 41,447 (233)

System log anomaly detection based on contrastive learning and retrieval augmented. [PDF]

Sci Rep
Li W, Wu Y, Huang W, Zhou F, Ou W, Wang H, Deng L.   +6 more
europepmc   +1 more source

A model to optimize maintenance through implementing industry 4.0 technologies. [PDF]

Heliyon
Essalih S, El Haouat Z, Ramadany M, Bennouna F, Amegouz D.   +4 more
europepmc   +1 more source

Cloudwave: distributed processing of "big data" from electrophysiological recordings for epilepsy clinical research using Hadoop.

, 2013
Catherine Jayapandian, Chien‐Hung Chen, Alireza Bozorgi, Samden D. Lhatoo, Guo‐Qiang Zhang, Satya S. Sahoo   +5 more
openalex   +1 more source

Cache Affinity-aware In-memory Caching Management for Hadoop

, 2017
Jaewon Kwak
openalex   +1 more source

Data Transfers in Hadoop: A Comparative Study

, 2015
Ujjal Marjit, Kumar Sharma, Puspendu Mandal   +2 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hadoop+

Proceedings of the 29th ACM on International Conference on Supercomputing, 2015
Despite the widespread adoption of heterogeneous clusters in modern data centers, modeling heterogeneity is still a big challenge, especially for large-scale MapReduce applications. In a CPU/GPU hybrid heterogeneous cluster, allocating more computing resources to a MapReduce application does not always mean better performance, since simultaneously ...
Wenting He, Huimin Cui, Binbin Lu, Jiacheng Zhao, Shengmei Li, Gong Ruan, Jingling Xue, Xiaobing Feng, Wensen Yang, Youliang Yan   +9 more
  +4 more sources

Hadoop++

Proceedings of the VLDB Endowment, 2010
MapReduce is a computing paradigm that has gained a lot of attention in recent years from industry and research. Unlike parallel DBMSs, MapReduce allows non-expert users to run complex analytical tasks over very large data sets on very large clusters and clouds.
Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, Jörg Schad   +5 more
openaire   +1 more source

V-Hadoop: Virtualized Hadoop using containers

2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016
MapReduce is a popular programming model used to process large amounts of data by exploiting parallelism. Open-source implementations of MapReduce such as Hadoop are generally best suited for large, homogeneous clusters of commodity machines. However, many businesses cannot afford to invest in such infrastructure and others are reluctant to use cloud ...
Srihari Radhakrishnan, Bryan J. Muscedere, Khuzaima Daudjee   +2 more
openaire   +1 more source

Hadoop-MCC: Efficient Multiple Compound Comparison Algorithm Using Hadoop

Combinatorial Chemistry & High Throughput Screening, 2018
Aim and Objective: In the past decade, the drug design technologies have been improved enormously. The computer-aided drug design (CADD) has played an important role in analysis and prediction in drug development, which makes the procedure more economical and efficient.
Guan-Jie, Hua, Che-Lun, Hung, Chuan Yi, Tang   +2 more
openaire   +2 more sources

Hadoop

2014
, .
  +5 more sources