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as operation and maintenance complexity. In the specification of OpenFlow, one
of the most important concept is FlowTable, which includes a large number of
rules to process network packets. Obviously, it is a challenge to manage the
large-scale FlowTables. A promising way is to implement SDN with big data
techniques, to effectively store, process and utilize FlowTable, and increase the
speed of searching rules.
5G Wireless Networks: Supporting Technology for Mobile Big Data
: With
the emergence of cloud computing as an important information technology in
support of virtualized services, it becomes promising to design 5G wireless
networks by exploiting recent advances relevant to network function virtualiza-
tion and benefiting from advanced virtualization techniques of cloud computing
to build efficient and scalable networking infrastructures. Researchers have
been designing new architectures for elastically composing and operating a
virtual end-to-end network platform on demand on top of fragmented physical
infrastructures provided by federated cloud. SDN techniques have been seen as
promising enablers for this vision of carrier cloud, which will likely play a crucial
role in the design of 5G wireless networks.
Due to the huge explosion in mobile data of a hyperconnected society, “Can
Big Data go Mobile?” now becomes a challenging problem which would be
addressed by 5G technologies. Though 5G wireless provides the possibility to
enable the mobility of big data, there are various research problems towards
the realization of the brand-new networking system, such as 5G network archi-
tecture, SDN and network virtualization techniques for enabling 5G, resource
allocation algorithms in 5G, and 5G-related control protocols and optimization
techniques. In an energy efficient, flexible, connectivity-scalable and secure
manner, new business models beyond IaaS, PaaS and SaaS, such as Network as
a Service (NaaS), and Knowledge as a Service (KaaS), are expected to emerge.
Especially, Big Data as a Service (BDaaS) or Big Data Analysis as a Service
(BDAaaS) could emerge, facilitating the efficient storage and analysis for the
exploding mobile data.
Throughout the history of human society, the demands and willingness of
human beings are always the source powers to promote scientific and technological
progress. In the big data era, big data may provides reference answers for human
beings to make decisions through mining and analytical processing, but could
not replace human thinking. It is human thinking that promotes the widespread
utilizations of big data. Big data is more like an extendable and expandable human
brain other than a substitute of human brain. With the emergence of Internet of
Things, development of mobile sensing technology, and progress of data acquisition
technology, people are not only the user and consumer of big data, but also its
producer and participant. Social relation sensing, crowdsourcing, analysis of big
data in SNS, and other applications closely related to human activities based on big
data will be increasingly concerned and will certainly cause enormous changes of
social activities in the future society.
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