Collection of hospital wastewater data using deduplication approaches

• Autorzy: Khan N. A. , Sinha G. R. , Ahmed S. , Feshchenko A. , Changani F. , Qureshi A. , Mazhar M. A. , Neklonskyi I.

Identyfikatory

DOI

10.5604/01.3001.0014.3864

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

statistics; hospital wastewater; medical waste; deduplication; approaches; servers

PL

statystyka; ścieki szpitalne; odpady medyczne; deduplikacja; podejścia; serwery

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2020
• Tom: Vol. 104, nr 1
• Strony: 5--18
• Opis fizyczny: Bibliogr. 53 poz.

Twórcy

autor

Khan N. A.

• Civil Engineering Department, Jamia Millia Islamia, New Delhi, India

autor

Sinha G. R.

• Adjunct Professor, IIIT Bangalore & Professor, MIIT Mandalay, Myanmar, India

autor

Ahmed S.

• Civil Engineering Department, Jamia Millia Islamia, New Delhi, India

autor

Feshchenko A.

• National University of Civil Defence of Ukraine, Kharkiv, Ukraine

autor

Changani F.

• Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

autor

Qureshi A.

• Environmental Engineering Department, College of Engineering A13, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia

autor

Mazhar M. A.

• Civil Engineering Department, Jamia Millia Islamia, New Delhi, India

autor

Neklonskyi I.

• National University of Civil Defence of Ukraine, Kharkiv, Ukraine

Bibliografia

• [1] N.A. Khan, S. Ahmed, S. Vambol, V. Vambol, I.H. Farooqi, Field hospital wastewater treatment scenario, Ecological Questions 30/3 (2019) 57-69. DOI: https://doi.org/10.12775/EQ.2019.022
• [2] S. Vambol, V. Vambol, V. Sobyna, V. Koloskov, L. Poberezhna, Investigation of the energy efficiency of waste utilization technology, with considering the use of low-temperature separation of the resulting gas mixtures, Energetika 64/4 (2018) 186-195. DOI: https://doi.org/10.6001/energetika.v64i4.3893
• [3] E. Walkinshaw, Medical waste-management practices vary across Canada, Canadian Medical Association Journal 183/18 (2011) 1307-E1308. DOI: https://doi.org/10.1503/cmaj .109-4032
• [4] A. Dhingra, N.A. Khan, S. Ahmed, S. Gautam, S. Vambol, V. Vambol, S. Kovalenko, Investigation of medical institutions in India as a source of surface water pollution, World Review of Science, Technology and Sustainable Development (2020) (in press).
• [5] N.A. Khan, S.U. Khan, S. Ahmed, I.H. Farooqi, A. Hussain, S. Vambol, V. Vambol, Smart ways of hospital wastewater management, regulatory standards and conventional treatment techniques, Smart and Sustainable Built Environment (2019) (ahead of print). DOI: https://doi.org/10.1108/SASBE-06-2019-0079
• [6] V. Hegde, R.D. Kulkarni, G.S. Ajantha, Biomedical waste management, Journal of Oral and Maxillofacial Pathology 11/1 (2007) 5-9. DOI: https://doi.org/10.4103/0973-029X.33955
• [7] G.V. Patil, K. Pokhrel, Biomedical solid waste management in an Indian hospital: a case study, Waste Management 25/6 (2005) 592-599. DOI: https://doi.org/10.1016Zj.wasman.2004.07.011
• [8] F. Bove, Y. Shim, P. Zeitz, Drinking water contami- nants and adverse pregnancy outcomes: a review, Environmental Health Perspectives 110 (2002) 61-74. DOI: https://doi.org/10.1289/ehp.02110s161
• [9] N.A. Khan, S. Ahmed, I.H. Farooqi, I. Ali, V. Vambol, F. Changani, M. Yousefi, S. Vambol, S. U. Khan, A.H. Khan, Occurrence, sources and conventional treatment techniques for various antibiotics present in hospital wastewaters: a critical review, Trends in Analytical Chemistry 129 (2020) 115921. DOI: https://doi.org/10.1016/j.trac.2020.115921
• [10] A. Maazouzi, A. Kettab, A. Badri, B. Zahraoui, A. Kabour, L. Chebbah, Contribution to the study of the effect of urban wastewater on the degradation of ground water quality and to the treatment by filtration on dune sand of the city of Bechar (Algeria), Desalination and Water Treatment 30/1-3 (2011) 58-68. DOI: https://doi.org/10.5004/dwt.2011.1637
• [11] N.A. Khan, S. Ahmed, I.H. Farooqi, S. Vambol, V. Vambol, V. Koloskov, Operational parameters optimisation for simultaneous removal of two drugs in hospital wastewater - RSM approach, International Journal of Environment and Waste Management (2021) (in press).
• [12] S.M. Romanchuk, Algoritmy upravleniya tekhnolo- gicheskimi rezhimami vodosnabzheniya gorodov, Problemi Yekolog^^ 1 (2013) 98-108.
• [13] N. Badalov, KH. Mamedov, S.D. Tsybulya, Ynte- hral'naya ynformatsyonnaya systema ydentyfykatsyy zahryaznenyya morskoy poverkhnosty Kaspyyskoho morya. Visnyk Chernihivs'koho Derzhavnoho Tekhno- lohichnoho Universytetu. Seriya: Tekhnichni Nauky 3 (2013) 244-249.
• [14] S. Vambol, V. Vambol, M. Sundararajan, I. Ansari, The nature and detection of unauthorized waste dump sites using remote sensing, Ecological Questions 30/3 (2019) 43-55. DOI: https://doi.org/10.12775/EQ.2019.018
• [15] C.H. Swartz, R.A. Rudel, J.R. Kachajian, J.G. Brody, Historical reconstruction of wastewater and land use impacts to groundwater used for public drinking water: exposure assessment using chemical data and GIS, Journal of Exposure Science & Environmental Epidemiology 13/5 (2003) 403-416. DOI: https://doi.org/10.1038/si.iea.7500291
• [16] S. Karuppasamy, S. Kaliappan, R. Karthiga, C. Divya, Surface area estimation, volume change detection in lime stone quarry, tirunelveli district using cartosat-1 generated digital elevation model (dem), Circuits and Systems 7/06 (2016) 849.
• [17] M. Gu, X. Li, Y. Cao, Optical storage arrays: a perspec- tive for future big data storage. Light: Science & Applications 3/5 (2014) e177-e177. DOI: https://doi.org/10.1038/lsa.2014.58
• [18] B. Mao, H. Jiang, S. Wu, Y. Fu, L. Tian, Read- performance optimization for deduplication-based storage systems in the cloud, ACM Transactions on Storage 10/2 (2014) 6. DOI: https://doi.org/10.1145/2512348
• [19] J. Wang, X. Chen, Efficient and secure storage for outsourced data: a survey, Data Science and Engineering 1/3 (2016) 178-188. DOI: https://doi.org/10.1007/s41019-016-0018-9
• [20] A.J. Maan, Analysis and comparison of algorithms for lossless data compression, International Journal of Information and Computation Technology 3/3 (2013) 139-146.
• [21] W. Xia, H. Jiang, D. Feng, L. Tian, M. Fu, Y. Zhou, Ddelta: a deduplication-inspired fast delta compression approach, Performance Evaluation 79 (2014) 258-272. DOI: https://doi.org/10.1016/j.peva.2014.07.016
• [22] A. Venish, K.S. Sankar, Framework of data deduplication: a survey, Indian Journal of Science and Technology 8/26 (2015) 1-7. DOI: https://doi.org/10.17485/ijst/2015/v8i26/80754
• [23] D.T. Meyer, W.J. Bolosky, A study of practical de-duplication, ACM Transactions on Storage 7/4 (2012) 1-20. DOI: https://doi.org/10.1145/2078861.2078864
• [24] J. Barreto, P. Ferreira, Efficient locally trackable deduplication in replicated systems, in: J.M. Bacon, B.F. Cooper (eds), Middleware 2009. Middleware 2009. Lecture Notes in Computer Science, vol. 5896, Springer, Berlin, Heidelberg, 2009, 103-122. DOI: https://doi.org/10.1007/978-3-642-10445-9 6
• [25] I.H. Witten, R.M. Neal, J.G. Cleary, Arithmetic coding for data compression, Communications of the ACM 30/6 (1987) 520-540. DOI: https://doi.org/10.1145/214762.214771
• [26] B. Kitchenham, O.P. Brereton, D. Budgen, M. Turner, J. Bailey, S. Linkman, Systematic literature reviews in software engineering - a systematic literature review, Information and Software Technology 51/1 (2009) 7-15. DOI: https://doi.org/10.1016/j.infsof.2008.09.009
• [27] J. Paulo, J. Pereira, Distributed exact deduplication for primary storage infrastructures. in: K. Magoutis, P. Pietzuch (eds), Distributed Applications and Interoperable Systems. DAIS 2014. Lecture Notes in Computer Science, vol. 8460, Springer, Berlin, Heidelberg, 2014, 52-66. DOI: https://doi.org/10.1007/978-3-662-43352-2 5
• [28] A.F. Banu, C. Chandrasekar, A survey on deduplication methods, International Journal of Computer Trends and Technology 3/3 (2012) 364-368.
• [29] C. Alvarez, NetApp deduplication for FAS and V- Series deployment and implementation guide, Technical ReportTR-3505, 2011. Available from: https://aptiris.com/support/netapp faq/Dedup.pdf
• [30] W. Xia, H. Jiang, D. Feng, F. Douglis, P. Shilane, Y. Hua, Y. Zhou, A comprehensive study of the past, present, and future of data deduplication, Proceedings of the IEEE 104/9 (2016) 1681-1710. DOI: https://doi.org/10.1109/JPROC.2016.2571298
• [31] C. Kim, K.-W. Park, K.H. Park, GHOST: GPGPU- offloaded high performance storage I/O deduplication for primary storage system, Proceedings of the 2012 International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM’12, 2012, 17-26. DOI: https://doi.org/10.1145/2141702.2141705
• [32] M. Lillibridge, K. Eshghi, D. Bhagwat, V. Deolalikar, G. Trezis, P. Camble, Sparse Indexing: Large Scale, Inline Deduplication Using Sampling and Locality, Proceedings of the Fast’09, 7th USENIX Conference on File and Storage Technologies, San Francisco, Vol. 9, 2009, 111-123.
• [33] B. Zhu, K. Li, R.H. Patterson, Avoiding the Disk Bottleneck in the Data Domain Deduplication File System, Proceedings of the Fast’08, 6* USENIX Conference on File and Storage Technologies, San Jose, Vol. 8, 2008, 269-282.
• [34] C. Dubnicki, L. Gryz, L. Heldt, M. Kaczmarczyk, W. Kilian, P. Strzelczak, J. Szczepkowski, C. Ungureanu, M. Welnicki, HYDRAstor: A scalable secondary storage, Proceedings of the Fast’09, 7th USENIX Conference on File and Storage Technologies, San Francisco, Vol. 9, 2009, 197-210.
• [35] N. Mandagere, P. Zhou, M.A. Smith, S. Uttamchandani, Demystifying data deduplication, Proceedings of the ACM/IFIP/USENIX Middleware’08 Conference Companion, 2008, 12-17. DOI: https://doi.org/10.1145/1462735.1462739
• [36] J. Paulo, J. Pereira, A survey and classification of storage deduplication systems, ACM Computing Surveys 47/1 (2014) 1-30. DOI: https://doi.org/10.1145/2611778
• [37] C.P. Chen, C.Y. Zhang, Data-intensive applications, challenges, techniques and technologies: A survey on Big Data, Information Sciences 275 (2014) 314-347. DOI: https://doi.org/10.1016Zj.ins.2014.01.015
• [38] E.N. Borges, M.G. de Carvalho, R. Galante, M.A. Gonęalves, A.H. Laender, An unsupervised heuristic- based approach for bibliographic metadata dedupli-cation, Information Processing and Management 47/5 (2011) 706-718. DOI: https://doi.org/10.1016/j.ipm.2011.01.009
• [39] J. Xu, W. Zhang, Z. Zhang, T. Wang, T. Huang, Clustering-based acceleration for virtual machine image deduplication in the cloud environment, Journal of Systems and Software 121 (2016) 144-156. DOI: https://doi.org/10.1016/j.jss.2016.02.021
• [40] R. Di Pietro, A. Sorniotti, Proof of ownership for deduplication systems: A secure, scalable, and efficient solution, Computer Communications 82 (2016) 71-82. DOI: https://doi.org/10.1016/j.comcom.2016.01.011
• [41] P. Brereton, B.A. Kitchenham, D. Budgen, M. Turner, M. Khalil, Lessons from applying the systematic literature review process within the software engineering domain, Journal of Systems and Software 80/4 (2007) 571-583. DOI: https://doi.org/10.1016/j.jss.2006.07.009
• [42] J. Gantz, D. Reinsel, The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the Far East, IDC Analyze the Future (2012) 1-16. Available from: https://www.speicherguide.de/download/dokus/IDC- Digital-Universe-Studie-iView-11.12.pdf
• [43] Y. Tian, S.M. Khan, D.A. Jimenez, G.H. Loh, Last- level cache deduplication, Proceedings of the 28th ACM International Conference on Supercomputing, 2014, 53-62. DOI: https://doi.org/10.1145/2597652.2597655
• [44] B. Mao, H. Jiang, S. Wu, L. Tian, Leveraging data deduplication to improve the performance of primary storage systems in the cloud, IEEE Transactions on Computers 65/6 (2015) 1775-1788. DOI: https://doi.org/10.1109/TC.2015.2455979
• [45] S. Shanmugasundaram, R. Lourdusamy, A comparative study of text compression algorithms, International Journal of Wisdom Based Computing 1/3 (2011) 68-76.
• [46] U.S. Bhadade, A.I. Trivedi, Lossless text compression using dictionaries, International Journal of Computer Applications 13/8 (2011) 27-34.
• [47] D.A. Reed, J. Dongarra, Exascale computing and big data, Communications of the ACM 58/7 (2015) 56-68. DOI: https://doi.org/10.1145/2699414
• [48] C.H. Ng, M. Ma, T.Y. Wong, P.P. Lee, J.C. Lui, Live deduplication storage of virtual machine images in an open-source cloud, in: F. Kon, A.M. Kermarrec (eds), Middleware 2011, Lecture Notes in Computer Science, vol. 7049, Springer, Berlin, Heidelberg, 81-100. DOI: https://doi.org/10.1007/978-3-642-25821-3 5
• [49] X. Zhao, Y. Zhang, Y. Wu, K. Chen, J. Jiang, K. Li, Liquid: A scalable deduplication file system for virtual machine images, IEEE Transactions on Parallel and Distributed Systems 25/5 (2013) 1257-1266. DOI: https://doi.org/10.1109/TPDS.2013.173
• [50] C.A. Waldspurger, Memory resource management in VMware ES X server, ACM SIGOPS Operating Systems Review 36/SI (2002) 181-194. DOI: https://doi.org/10.1145/844128.844146
• [51] A.T. Clements, I. Ahmad, M. Vilayannur, J. Li, Decentralized Deduplication in SAN C luster File Systems, Proceedings of the USENIX Annual Technical Conference, 2009, 101-114.
• [52] Q. He, Z. Li, X. Zhang,. Data deduplication techniques, Proceedings of the 2010 International Conference on Future Information Technology and Management Engineering, Changzhou, 2010, 430-433. DOI: https://doi.org/10.1109/FITME.2010.5656539
• [53] K. Srinivasan, T. Bisson, G.R. Goodson, K. Voruganti,. iDedup: latency-aware, inline data deduplication for primary storage, Proceedings of the Fast’12, 10th USENIX Conference on File and Storage Techno¬logies, San Jose, Vol. 12, 2012, 1-14.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)