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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
SLA based healthcare big data analysis and computing in cloud network
ترجمه فارسی عنوان مقاله:
تحلیل داده های بزرگ سلامت مبتنی بر sla و محاسبات در شبکه های ابری
منبع:
Sciencedirect - Elsevier - J: Parallel Distrib: Comput:, Accepted manuscript: doi:10:1016/j:jpdc:2018:04:006
نویسنده:
Prasan Kumar Sahoo, Suvendu Kumar Mohapatra, Shih-Lin Wu
چکیده انگلیسی:
Large volume of multi-structured and low-latency patient data are generated
in healthcare services, which is challenging task to process and analyze within
the Service Level Agreement (SLA). In this paper, a Parallel Semi-Naive
Bayes (PSNB) based probabilistic method is used to process the healthcare
big data in cloud for future health condition prediction. In order to improve
the accuracy of PSNB method, a Modified Conjunctive Attribute (MCA)
algorithm is proposed for reducing the dimension. Emergency condition of
the patient is considered by setting a global priority among the patients and
an Optimal Data Distribution (ODD) algorithm is proposed to position both
batch and streaming patient data into the Spark nodes. Further, a Dynamic
Job Scheduling (DJS) algorithm is designed to schedule the jobs efficiently
to the most suitable nodes for processing the data taking SLA into account.
Our proposed PSNB algorithm provides better accuracy of 87.8% for both
batch and streaming data, which is 12.8% higher than the original Naive
Bayes (NB) algorithm and can conveniently be employed in various patient
monitoring applications.
Keywords: Big Data ، cloud computing ،healthcare, spark
قیمت: رایگان
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