Performance and Energy evaluation of Spark applications on low-power SoC

被引:0
|
作者
Kachris, Christoforos [1 ]
Stamelos, Ioannis [2 ]
Soudris, Dimitrios [2 ]
机构
[1] Inst Commun & Comp Syst ICCS NTUA, Athens, Greece
[2] Natl Tech Univ Athens, Athens, Greece
来源
PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING AND SIMULATION (SAMOS) | 2016年
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D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Microservers have recently gained attention as low-cost, low power, reduced footprint servers that are mainly based on energy efficient processors such as the ones used in embedded systems. Microservers based on low-power embedded processors are mainly targeting lightweight applications or parallel applications that benefit most from individual low-power servers with sufficient I/O between nodes rather than high performance processors. In this paper we evaluate the mapping of Apache Spark on low-power SoC-based processors. Apache Spark is one of the most widely framework in cloud computing for batch and streaming data analytics. We evaluate the energy efficiency of low-power SoCs that are used in embedded system for the execution of several Spark applications. The performance evaluation shows that low-power SoCs have the potential to offer up to 3x higher energy efficiency compared to high performance processors typically used in data centers.
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收藏
页码:300 / 305
页数:6
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