Results 201 to 210 of about 9,555 (241)
Development and Implementation of a Pediatric Clinical Teaching Case Library Based on Massive Real-Time Data. [PDF]
J Multidiscip HealthcWang H +5 more
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Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach. [PDF]
PLoS OneK Karim F +5 more
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International Journal for Research in Applied Science and Engineering Technology, 2017 openaire +2 more sources
Anesthesia decision analysis using a cloud-based big data platform. [PDF]
Eur J Med ResZhang S +5 more
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Une distribution Hadoop pour la visualisation de données de simulation massives
, 2014 Benoit Lange, Toàn Nguyên
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V-Hadoop: Virtualized Hadoop using containers
2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016MapReduce 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 ...
Khuzaima Daudjee +2 more
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2015 IEEE Trustcom/BigDataSE/ISPA, 2015
In the last decade, Warehouse Scale Computers (WSC) have grown in number and capacity while Hadoop became the de facto standard framework for Big data processing. Despite the existence of several benchmark suites, sizing guides, and characterization studies, there are few concrete guidelines for WSC designers and engineers who need to know how real ...
Kevin Long +4 more
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In the last decade, Warehouse Scale Computers (WSC) have grown in number and capacity while Hadoop became the de facto standard framework for Big data processing. Despite the existence of several benchmark suites, sizing guides, and characterization studies, there are few concrete guidelines for WSC designers and engineers who need to know how real ...
Kevin Long +4 more
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Proceedings of the VLDB Endowment, 2013
We analyze Hadoop workloads from three di?erent research clusters from a user-centric perspective. The goal is to better understand data scientists' use of the system and how well the use of the system matches its design. Our analysis suggests that Hadoop usage is still in its adolescence. We see underuse of Hadoop features, extensions, and tools.
Kai Ren +3 more
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We analyze Hadoop workloads from three di?erent research clusters from a user-centric perspective. The goal is to better understand data scientists' use of the system and how well the use of the system matches its design. Our analysis suggests that Hadoop usage is still in its adolescence. We see underuse of Hadoop features, extensions, and tools.
Kai Ren +3 more
openaire +2 more sources
Proceedings of the 17th ACM SIGKDD International Conference Tutorials, 2011
Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss the design philosophy and architecture of Hadoop, describe how to design and develop Hadoop applications and higher-level application frameworks to crunch several terabytes of data, and describe some uses of Hadoop ...
Vijay K. Narayanan, Milind Bhandarkar
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Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss the design philosophy and architecture of Hadoop, describe how to design and develop Hadoop applications and higher-level application frameworks to crunch several terabytes of data, and describe some uses of Hadoop ...
Vijay K. Narayanan, Milind Bhandarkar
openaire +2 more sources