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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Big data and semantics management system for computer networks
ترجمه فارسی عنوان مقاله:
داده های بزرگ و سیستم مدیریت معناشناسی برای شبکه های کامپیوتری
منبع:
Sciencedirect - Elsevier - Ad Hoc Networks, 57 (2017) 32-51. doi:10.1016/j.adhoc.2016.06.013
نویسنده:
Bassem Mokhtar a,∗, Mohamed Eltoweissy b,
چکیده انگلیسی:
We define “Big Networks” as those that generate big data and can benefit from big data management
in their operations. Examples of big networks include the current Internet and the emerging Internet of
things and social networks. The ever-increasing scale, complexity and heterogeneity of the Internet make
it harder to discover emergent and anomalous behavior in the network traffic. We hypothesize that en
dowing the otherwise semantically-oblivious Internet with “memory” management mimicking the human
memory functionalities would help advance the Internet capability to learn, conceptualize and effectively
and efficiently store traffic data and behavior, and to more accurately predict future events. Inspired by
the functionalities of human memory, we proposed a distributed network memory management system,
termed NetMem, to efficiently store Internet data and extract and utilize traffic semantics in matching
and prediction processes. In particular, we explore Hidden Markov Models (HMM), Latent Dirichlet Allo
cation (LDA), and simple statistical analysis-based techniques for semantic reasoning in NetMem. Addi
tionally, we propose a hybrid intelligence technique for semantic reasoning integrating LDA and HMM to
extract network semantics based on learning patterns and features with syntax and semantic dependen
cies. We also utilize locality sensitive hashing for reducing dimensionality. Our simulation study using
real network traffic demonstrates the benefits of NetMem and highlights the advantages and limitations
of the aforementioned techniques.
Keywords:Network management|Big data|Bio-inspired design|Semantics reasoning|Pattern learning|Hybrid intelligence
قیمت: رایگان
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