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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Selective I/O Bypass and Load Balancing Method for Write-Through SSD Caching in Big Data Analytics
ترجمه فارسی عنوان مقاله:
روش تعادل بار بای پس ورودی خروجی انتخابی برای نوشتن از طریق حافظه SSD در تجزیه و تحلیل داده های بزرگ
منبع:
IEEE - IEEE TRANSACTIONS ON COMPUTERS, VOL: 67, NO: 4, APRIL 2018
نویسنده:
Jaehyung Kim , Hongchan Roh, and Sanghyun Park
چکیده انگلیسی:
Fast network quality analysis in the telecom industry is an important
method used to provide quality service. SK Telecom, based in South Korea, built a
Hadoop-based analytical system consisting of a hundred nodes, each of which
only contains hard disk drives (HDDs). Because the analysis process is a set of
parallel I/O intensive jobs, adding solid state drives (SSDs) with appropriate
settings is the most cost-efficient way to improve the performance, as shown in
previous studies. Therefore, we decided to configure SSDs as a write-through
cache instead of increasing the number of HDDs. To improve the cost-perperformance of the SSD cache, we introduced a selective I/O bypass (SIB)
method, redirecting the automatically calculated number of read I/O requests from
the SSD cache to idle HDDs when the SSDs are I/O over-saturated, which means
the disk utilization is greater than 100 percent. To precisely calculate the disk
utilization, we also introduced a combinational approach for SSDs because the
current method used for HDDs cannot be applied to SSDs because of their internal
parallelism. In our experiments, the proposed approach achieved a maximum 2x
faster performance than other approaches.
Index Terms: I/O load balancing, SQL-on-Hadoop, SSD cache, storage hierarchies
قیمت: رایگان
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