Top

Cluster Computing

Published in:

19-09-2019

The role of structured and unstructured data managing mechanisms in the Internet of things

Authors: Poopak Azad, Nima Jafari Navimipour, Amir Masoud Rahmani, Arash Sharifi

Published in: Cluster Computing | Issue 2/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Internet of Things (IoT) has the idea of receiving data and sending them for each object within the communication network. One of the main issues in this type of networks is handling a growing volume of data with various data sources and data types to satisfy the performance requirements of applications. In this regard, data management in the IoT plays an important role in its efficient operations and has become a major research topic. However, the data management has a crucial role in the IoT, there is not any comprehensive and systematic work to analyze its approaches. Thus, main propose of this paper is to systematically review and study the existing data management approaches in the IoT. The data management approaches are classified into three main classes, including SQL database, NoSQL database, and graph database. In addition, the detailed comparison of the important mechanisms in each category brings a recommendation for further works.

previous article Service selection mechanisms in the Internet of Things (IoT): a systematic and comprehensive study

next article Improving resource allocation in software-defined networks using clustering

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Abbasi, M.A., Memon, Z.A., Memon, J., Syed, T.Q., Alshboul, R.: Addressing the future data management challenges in iot: a proposed framework. Int. J. Adv. Comput. Sci. Appl. 8(5), 197–207 (2017)

Abu-Elkheir, M., Hayajneh, M., Ali, N.A.: Data management for the internet of things: design primitives and solution. Sensors 13(11), 15582–15612 (2013)

Al-Ali, A., Zualkernan, I.A., Rashid, M., Gupta, R., Alikarar, M.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2017)

Alelaiwi, A.: A collaborative resource management for big IoT data processing in Cloud. Clust. Comput. 20(2), 1791–1799 (2017)

Angles, R., Gutierrez, C.: Survey of graph database models. ACM Computi. Surv. (CSUR) 40(1), 1 (2008)

Babar, M., Khan, F., Iqbal, W., Yahya, A., Arif, F., Tan, Z., Chuma, J.M.: A secured data management scheme for smart societies in industrial internet of things environment. IEEE Access 6, 43088–43099 (2018)

Bagci, I.E., Raza, S., Roedig, U., Voigt, T.: Fusion: coalesced confidential storage and communication framework for the IoT. Secur. Commun. Netw. 9(15), 2656–2673 (2016)

Bokefode, J.D., Bhise, A.S., Satarkar, P.A., Modani, D.G.: Developing a secure cloud storage system for storing IoT data by applying role based encryption. Procedia Comput. Sci. 89, 43–50 (2016)

Cai, H., Xu, B., Jiang, L., Vasilakos, A.V.: IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. 4(1), 75–87 (2017)

10.

Charalampidis, P., Tragos, E., Fragkiadakis, A.: A fog-enabled IoT platform for efficient management and data collection. Paper presented at the IEEE 22nd international workshop on computer aided modeling and design of communication links and networks (CAMAD), 2017

11.

Chen, W.-C., Chen, Y.-H., Wu, C.-L., Fu, L.-C.: An efficient data storage method of NoSQL database for HEM mobile applications in IoT. Paper presented at the Internet of Things (iThings) 2014 IEEE international conference on green computing and communications (GreenCom), IEEE and cyber, physical and social computing (CPSCom), IEEE, 2014

12.

Cooper, J., James, A.: Challenges for database management in the internet of things. IETE Tech. Rev. 26(5), 320–329 (2009)

13.

D’silva, G.M., Thakare, S., Bharadi, V.A.: Real-time processing of IoT events using a Software as a Service (SaaS) architecture with graph database. Paper presented at the international conference 2016 on the computing communication control and automation (ICCUBEA), 2016

14.

Din, S., Paul, A.: Smart health monitoring and management system: toward autonomous wearable sensing for internet of things using big data analytics. Future Gener. Comput. Syst. 91, 611–619 (2018)

15.

Ding, Z., Gao, X., Xu, J., Wu, H.: IOT-StatisticDB: a general statistical database cluster mechanism for big data analysis in the internet of things. Paper presented at the IEEE international conference on green computing and communications (GreenCom), 2013 IEEE and internet of things (iThings/CPSCom) and IEEE cyber, physical and social computing, 2013

16.

Fazio, M., Celesti, A., Villari, M., Puliafito, A.: The need of a hybrid storage approach for iot in paas cloud federation. Paper presented at the 28th international conference on advanced information networking and applications workshops (WAINA), 2014

17.

Fu, J., Liu, Y., Chao, H.-C., Bhargava, B., Zhang, Z.: Secure data storage and searching for industrial IoT by integrating fog computing and cloud computing. IEEE Trans. Industr. Inf. 14(10), 4519–4528 (2018)

18.

Gogawale, A., Khatib, F., Sontakke, P., Saigaonkar, S.: Database-as-a-Service for IoT. Paper presented at the 3rd international conference on computing for sustainable global development (INDIACom), 2016

19.

Golsorkhtabaramiri, M., Issazadehkojidi, N., Pouresfehani, N., Mohammadialamoti, M., Hosseinzadehsadati, S.M.: Comparison of energy consumption for reader anti-collision protocols in dense RFID networks. Wirel. Netw. (2018). https://doi.org/10.1007/s11276-018-1670-y CrossRef

20.

Gonizzi, P., Ferrari, G., Gay, V., Leguay, J.: Data dissemination scheme for distributed storage for IoT observation systems at large scale. Inf. Fus. 22, 16–25 (2015)

21.

Gu, F., Ma, B., Guo, J., Summers, P.A., Hall, P.: Internet of things and big data as potential solutions to the problems in waste electrical and electronic equipment management: an exploratory study. Waste Manage. 68, 434–448 (2017)

22.

Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013). https://doi.org/10.1016/j.future.2013.01.010 CrossRef

23.

Gurav, T., Kudale, R.: DoT (Database for IoT): requirements and selection criteria. Int. J. Comput. Appl. 159(8), 975–8887 (2017)

24.

Hamzei, M., Navimipour, N.J.: Toward efficient service composition techniques in the internet of things. IEEE Internet Things J. 5(5), 3774–3787 (2018)

25.

Ibrahim, H., Bao, W., Nguyen, U.T.: Data rate utility analysis for uplink two-hop internet-of-things networks. IEEE Internet Things J. 6(2), 3601–3619 (2018)

26.

Jayashree, K., Abirami, R., Babu, R.: A collaborative approach of IoT, big data, and smart city. In: Dey, N. (ed.) Big Data Analytics for Smart and Connected Cities, pp. 25–37. IGI Global, Hershey (2019)

27.

Jeong, S., Zhang, Y., O’Connor, S., Lynch, J.P., Sohn, H., Law, K.H.: A NoSQL data management infrastructure for bridge monitoring. Smart Struct. Syst. 17(4), 669–690 (2016)

28.

Jiang, H., Shen, F., Chen, S., Li, K.-C., Jeong, Y.-S.: A secure and scalable storage system for aggregate data in IoT. Future Gener. Comput. Syst. 49, 133–141 (2015)

29.

Jiang, L., Da Xu, L., Cai, H., Jiang, Z., Bu, F., Xu, B.: An IoT-oriented data storage framework in cloud computing platform. IEEE Trans. Industr. Inf. 10(2), 1443–1451 (2014)

30.

Karkouch, A., Mousannif, H., Al Moatassime, H., Noel, T.: A model-driven framework for data quality management in the Internet of Things. J. Ambient Intell. Humaniz. Comput. 9(4), 977–998 (2017)

31.

Kim, H.-W., Jeong, Y.-S.: Efficient auto-scaling scheme for rapid storage service using many-core of desktop storage virtualization based on IoT. Neurocomputing 209, 67–74 (2016)

32.

Ko, J., Lee, B.-B., Lee, K., Hong, S.G., Kim, N., Paek, J.: Sensor virtualization module: virtualizing iot devices on mobile smartphones for effective sensor data management. Int. J. Distrib. Sens. Netw. 11(10), 730762 (2015)

33.

Ku, A.Y.: Anticipating critical materials implications from the Internet of Things (IOT): potential stress on future supply chains from emerging data storage technologies. Sustain. Mater. Technol. 15, 27–32 (2017)

34.

Li, T., Liu, Y., Tian, Y., Shen, S., Mao, W.: A storage solution for massive IoT data based on NoSQL. Paper presented at the IEEE international conference on green computing and communications (GreenCom), 2012

35.

Liono, J., Jayaraman, P.P., Qin, A., Nguyen, T., Salim, F.D.: QDaS: quality driven data summarisation for effective storage management in Internet of Things. J. Parallel Distrib. Comput. 127, 196–208 (2018)

36.

Mishra, N., Lin, C.-C., Chang, H.-T.: A cognitive adopted framework for IoT big-data management and knowledge discovery prospective. Int. J. Distrib. Sens. Netw. 11(10), 718390 (2015)

37.

Ning, H., Belanger, D.G., Xia, Y., Piuri, V., Zomaya, A.Y.: Guest editorial special issue on big data analytics and management in Internet of things. IEEE Internet Things J. 2(4), 265–267 (2015)

38.

Paethong, P., Sato, M., Namiki, M.: Low-power distributed NoSQL database for IoT middleware. Paper presented at the Fifth ICT international student project conference (ICT-ISPC), 2016

39.

Pashazadeh, A., Navimipour, N.J.: Big data handling mechanisms in the healthcare applications: a comprehensive and systematic literature review. J. Biomed. Inf. 82, 47–62 (2018)

40.

Pourghebleh, B., Navimipour, N.J.: Data aggregation mechanisms in the Internet of things: a systematic review of the literature and recommendations for future research. J. Netw. Comput. Appl. 97, 23–34 (2017)

41.

Rizzatti, L.: Digital data storage is undergoing mind-boggling growth. 14th September 2016

42.

Robinson, I., Webber, J., Eifrem, E.: Graph Databases: New Opportunities for Connected Data. O’Reilly Media, Inc., Newton (2015)

43.

Shafagh, H., Burkhalter, L., Hithnawi, A., Duquennoy, S.: Towards blockchain-based auditable storage and sharing of IoT data. Paper presented at the proceedings of the 2017 on cloud computing security workshop, 2017

44.

Shona, M., Arathi, B.: A survey on the data management in IoT. Int. J. Sci. Tech. Adv. 2(1), 261–264 (2016)

45.

Song, X.H.: The study on cloud storage data management method based on minimum access cost for internet of things. Paper presented at the applied mechanics and materials, 2012

46.

Sood, S.K., Sandhu, R., Singla, K., Chang, V.: IoT, big data and HPC based smart flood management framework. Sustain. Comput. Inf. Syst. 20, 102–117 (2017)

47.

Tao, M., Ota, K., Dong, M.: Ontology-based data semantic management and application in IoT-and cloud-enabled smart homes. Future Gener. Comput. Syst. 76, 528–539 (2017)

48.

Teing, Y.-Y., Dehghantanha, A., Choo, K.-K.R., Yang, L.T.: Forensic investigation of P2P cloud storage services and backbone for IoT networks: bitTorrent Sync as a case study. Comput. Electr. Eng. 58, 350–363 (2017)

49.

Terroso-Saenz, F., González-Vidal, A., Ramallo-González, A.P., Skarmeta, A.F.: An open IoT platform for the management and analysis of energy data. Future Gener. Comput. Syst. 92, 1066–1079 (2017)

50.

51.

Tripathi, G., Sharma, B., Rajvanshi, S.: A combination of internet of things (IoT) and graph database for future battlefield systems. Paper presented at the international conference on computing, communication and automation (ICCCA), 2017

52.

Ueta, K., Xue, X., Nakamoto, Y., Murakami, S.: A distributed graph database for the data management of IoT systems. Paper presented at the 2016 IEEE international conference on internet of things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData), 2016

53.

Urbanczyk, T., Peter, L.: Database development for the urgent department of hospital based on tagged entity storage following the IoT concept. IFAC-PapersOnLine 49(25), 278–283 (2016)MathSciNet

54.

Van der Veen, J.S., Van Der Waaij, B., Meijer, R.J.: Sensor data storage performance: SQL or NoSQL, physical or virtual. Paper presented at the 2012 IEEE 5th international conference on cloud computing (CLOUD), 2012

55.

Wang, F.Y., Li, G., Du, L. M., Han, Z.Y.: Elementary discussion on data management of the internet of things. Paper presented at the advanced materials research, 2012

56.

Wang, H.Z., Lin, G.W., Wang, J.Q., Gao, W.L., Chen, Y.F., Duan, Q.L.: Management of big data in the internet of things in agriculture based on cloud computing. Paper presented at the applied mechanics and materials, 2014

57.

Wang, W., Xu, P., Yang, L.T.: Secure data collection, storage and access in cloud-assisted IoT. IEEE Cloud Comput. 5(4), 77–88 (2018)

58.

Witkowski, K.: Internet of things, big data, industry 4.0–innovative solutions in logistics and supply chains management. Proced. Eng. 182, 763–769 (2017)

59.

Wu, D., Shi, H., Wang, H., Wang, R., Fang, H.: A feature-based learning system for internet of things applications. IEEE Internet Things J. 6(2), 1928–1937 (2018)

60.

Yang, Y., Zheng, X., Guo, W., Liu, X., Chang, V.: Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system. Inf. Sci. 479, 567–592 (2018)

61.

Yang, Y., Zheng, X., Tang, C.: Lightweight distributed secure data management system for health Internet of Things. J. Netw. Comput. Appl. 89, 26–37 (2017)

62.

Yassine, A., Singh, S., Hossain, M.S., Muhammad, G.: IoT big data analytics for smart homes with fog and cloud computing. Future Gener. Comput. Syst. 91, 563–573 (2019)

63.

Zhao, X., Lucani, D.E., Shen, X., Wang, H.: Reliable IoT storage: minimizing bandwidth use in storage without newcomer nodes. IEEE Commun. Lett. 22(7), 1462–1465 (2018)

Title: The role of structured and unstructured data managing mechanisms in the Internet of things
Authors: Poopak Azad
Nima Jafari Navimipour
Amir Masoud Rahmani
Arash Sharifi
Publication date: 19-09-2019
Publisher: Springer US
Published in: Cluster Computing / Issue 2/2020
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-019-02986-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 2/2020

Energy-aware scheduling using slack reclamation for cluster systems

Security aware dynamic scheduling algorithm (SADSA) for real-time applications on grid

Fusion of medical images using deep belief networks

Detection of premature ventricular contraction (PVC) using linear and nonlinear techniques: an experimental study

MAHA: Migration-based Adaptive Heuristic Algorithm for Large-scale Network Simulations

Energy-efficient scheme based on user task characteristic in virtual cloud platform

Premium Partner