کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6873099 | 1440628 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
SERAC3: Smart and economical resource allocation for big data clusters in community clouds
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
Big data analysis jobs on clouds are gaining more and more popularity in recent years. It is critical but challenging to pick the right configuration for an incoming job, since the configuration space is too large, and the relationship between allocated resources and job performance is not deterministic. In this paper, we propose SERAC3 to allocate resources smartly and economically for big data clusters in community clouds. SERAC3 is a system that can automatically extract representative workloads from incoming big data analysis jobs, smartly decide an optimal configuration for each job, and adjust its assigning strategy in a quasi-realtime mode. With experiments on a community cloud built on OpenStack, we show that on average, SERAC3 can smartly select a configuration within 2.2% of the exact optimal one, while saving about 80.1% search cost compared to the exhaustive search.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 85, August 2018, Pages 210-221
Journal: Future Generation Computer Systems - Volume 85, August 2018, Pages 210-221
نویسندگان
Junnan Li, Zhihui Lu, Wei Zhang, Jie Wu, Hao Qiang, Bo Li, Patrick C.K. Hung,