Title :
Exploring the Performance Fluctuations of HPC Workloads on Clouds
Author :
El-Khamra, Yaakoub ; Kim, Hyunjoo ; Jha, Shantenu ; Parashar, Manish
Author_Institution :
Texas Adv. Comput. Center, Univ. of Texas at Austin, Austin, TX, USA
fDate :
Nov. 30 2010-Dec. 3 2010
Abstract :
Clouds enable novel execution modes often supported by advanced capabilities such as autonomic schedulers. These capabilities are predicated upon an accurate estimation and calculation of runtimes on a given infrastructure. Using a well understood high-performance computing workload, we find strong fluctuations from the mean performance on EC2 and Eucalyptus-based cloud systems. Our analysis eliminates variations in IO and computational times as possible causes, we find that variations in communication times account for the bulk of the experiment-to-experiment fluctuations of the performance.
Keywords :
cloud computing; fault tolerant computing; performance evaluation; EC2; Eucalyptus-based cloud systems; HPC workloads; autonomic schedulers; clouds infrastructure; experiment-to-experiment fluctuations; high-performance computing workload; performance fluctuations; Analytical models; Benchmark testing; Cloud computing; Conferences; Hardware; Radio access networks; Runtime; Cloud Computing; Concurrent Programming; Distributed Programming; Parallel Programming;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-9405-7
Electronic_ISBN :
978-0-7695-4302-4
DOI :
10.1109/CloudCom.2010.84
