SDN Low Latency for Medical Big Data Using Wavelets

  • Fadia Shah School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Jianping Li School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Raheel Ahmed Memon School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Abstract

New era is the age of 5G. The network has moved from the simple internet connection towards advanced LTE connections and transmission. The information and communication technology has reshaped telecommunication. For this, among many types of big data, Medical Big Data is one of the most sensitive forms of data. Wavelet is a technical tool to reduce the size of this data to make it available for the user for more time. It is also responsible for low latency and high speed data transmission over the network. The key concern is the Medical Big Data should be accurate and reliable enough so that the recommended treatment should be the concerned one. This paper proposed the scheme to support the concept of data availability without losing crucial information, via Wavelet the Medical Data compression and through SDN supportive architecture by making data availability over the wireless network. Such scheme is in favor of the efficient use of technology for the benefit of human beings in the support of medical treatments.

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Published
2017-06-30
How to Cite
SHAH, Fadia; LI, Jianping; MEMON, Raheel Ahmed. SDN Low Latency for Medical Big Data Using Wavelets. Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 1, p. 28-36, june 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/4>. Date accessed: 19 sep. 2020. doi: https://doi.org/10.30537/sjcms.v1i1.4.
Section
Research Articles