Title :
Review of energy aware big data computing measurements, benchmark methods and performance analysis
Author :
Zane Wei ; Da Qi Ren
Author_Institution :
US R&D Center, Huawei Technol., Santa Clara, CA, USA
Abstract :
In this paper we present a brief overview of the current benchmarks for energy efficiency as a way of keeping data centers as green as possible. To support energy management, this paper covers power and energy measurements, benchmarking and analysis in big data processing. The architecture and infrastructure challenges facing energy-aware data centers are summarized. Based on existing technologies, we review the methodologies used in power analysis and system energy optimization in research and reports relating to power benchmarks and energy efficiency improvements and awareness. Our main aim is to highlight the importance of this area in current research.
Keywords :
Big Data; cloud computing; computer centres; green computing; power aware computing; energy aware big data computing measurements; energy efficiency awareness; energy efficiency benchmark methods; energy efficiency improvements; energy management; green computing; performance analysis; power analysis; power benchmarks; power measurements; system energy optimization; Benchmark testing; Big data; Energy efficiency; Energy measurement; Power demand; Power measurement; Energy Efficiency; Green Cloud Computing; Power Consumption;
Conference_Titel :
Computer Communication and Networks (ICCCN), 2014 23rd International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICCCN.2014.6911835