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Collection of Hospital Wastewater Data Using Deduplication Approaches Publisher



Khan NA1 ; Sinha GR2 ; Ahmed S1 ; Feshchenko A3 ; Changani F4 ; Qureshi A5 ; Mazhar MA1 ; Neklonskyi I3
Authors
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Authors Affiliations
  1. 1. Civil Engineering Department, Jamia Millia Islamia, New Delhi, India
  2. 2. IIIT Bangalore & Professor, MIIT Mandalay, India
  3. 3. National University of Civil Defence of Ukraine, Kharkiv, Ukraine
  4. 4. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Environmental Engineering Department, College of Engineering A13, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia

Source: Archives of Materials Science and Engineering Published:2020


Abstract

Purpose: This investigation aims to study the various approaches currently used to reduce the load on computer servers in order to better manage data on hospital wastewater treatment and solid waste generation. Design/methodology/approach: This manuscript investigates the taxonomies of deduplication procedures based on literature and other data sources, thereby presenting its classification and its challenges in detection. Findings: Based on the literature survey of deduplication techniques, the method of deduplication dispensed on cloud gadget devices has been found to be a promising research challenge. The gaps discussed include a reduction in storage space, bandwidth, type of disks used, and expenditure on energy usage and heat emissions when implementing these strategies. The art work on a scalable, robust, green and allocated approach to deduplication for a cloud gadget will remain of interest in destiny. Research limitations/implications: Considerable attention is focused on the deduplication due to efficient, extensive storage system. Practical implications: This research paper will be useful to identify deduplication techniques which are nowadays used in different hospital wastewater data collection systems and put significant proposals for further improvements in deduplication. Originality/value: This manuscript portrays a broader assessment of the available literature for data duplication along with the classification of different methods for the data storage used in the different level of storage of hospital wastewater data collection. © by International OCSCO World Press. All rights reserved. 2020.