Performance evaluation of Amazon EC2 for NASA HPC applications

2012 ◽  
Author(s):  
Piyush Mehrotra ◽  
Jahed Djomehri ◽  
Steve Heistand ◽  
Robert Hood ◽  
Haoqiang Jin ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Amazon Ec2

scholarly journals Performance Evaluation of Map Reduce vs. Spark framework on Amazon Machine Image for TeraSort Algorithm

2021 ◽  
Vol 9 (VI) ◽  
pp. 2728-2732
Author(s):  
Gangadhara Rao Kommu
Keyword(s):  
Performance Evaluation ◽  
Map Reduce ◽  
Time Data ◽  
Amazon Ec2 ◽  
Spark Framework ◽  
Machine Image ◽  
Compute Time

TeraSort is one of Hadoop’s widely used benchmarks. Hadoop’s distribution contains both the input generator and sorting implementations: the TeraGen generates the input and TeraSort conducts the sorting. We focus on the comparison of TeraSort algorithm on the different distributed platforms with different configurations of the resources. We have considered the parameters of measure of efficiency as Compute Time, Data Read, Data Write, Compute Time, and Speedup. We have conducted experiments using Hadoop map reduce and Spark (Java). We empirically evaluate the performance of TeraSort algorithm on Amazon EC2 Machine Images, and demonstrate that it achieves 3.95 × - 2.4 × speedup, compared with TeraSort, for typical settings of interest.

scholarly journals Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing

2017 ◽  
Vol 13 (08) ◽  
pp. 121 ◽  
Author(s):  
Jie Xiong ◽  
Shen-Han Shi ◽  
Song Zhang
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Scientific Computing ◽  
Prototype System ◽  
Virtual Cluster ◽  
Huge Amount ◽  
Computing Systems ◽  
Comprehensive Performance ◽  
Amazon Ec2

Scientific computing requires a huge amount of computing resources, but not all the scientific researchers have an access to sufficient high-end computing systems. Currently, Amazon provides a free tier account for cloud computing which could be used to build a virtual cluster. In order to investigate whether it is suitable for scientific computing, we first describe how to build a free virtual cluster using StarCluster on Amazon Elastic Compute Cloud (EC2). Then, we perform a comprehensive performance evaluation of the virtual cluster built before. The results show that a free virtual cluster is easily built on Amazon EC2 and it is suitable for the basic scientific computing. It is especially valuable for scientific researchers, who do not have any HPC or cluster, to develop and test their prototype system of scientific computing without paying anything, and move it to a higher performance virtual cluster when necessary by choosing more powerful instance on Amazon EC2.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance

Performance Evaluation Tests for Environmental Research (PETER): Code Substitution Test.

1981 ◽  
Author(s):  
Ross L. Pepper ◽  
Robert S. Kennedy ◽  
Alvah C. Bittner ◽  
Steven F. Wiker
Keyword(s):  
Performance Evaluation ◽  
Environmental Research
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