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Cloud Based e-Feedback Services Using Performance Analysis: A Linear Approach

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 12630))

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Abstract

Authors propose an online feedback system having distinct layers to access frameworks through multiple entry points such as, student module, administration module, and teacher module which have been operated from any geographically distributed locations. There is no need to install software based application and no need of extra hardware expenses to access proposed cloud based system due to usage of software-as-a-service, and platform-as-a-service. Students provide specific information to server-side for authenticity regarding entry to feedback questionnaires. Administrative authorities analyze teacher performance based on students’ feedback. Teacher observes individual performance from server. Human effort and human activities have been reduced due to usage of paperless feedback. Teacher performance is measured using preparedness, class-performance, responsiveness, effectiveness, and overall grade. Different nodes have been required in proposed system for distributing and replicating data storage in server-side. Time consumption and load distribution of servers are analyzed based on number of users and servers. Different nodes have been accessed by multiple users working with different or same modules of the system. Energy efficient framework has incorporated into proposed system to enhance system performance. Authors have incorporated different weightage factors in energy efficient framework using distinct layers of proposed system. Time complexity and space complexity are measured using proposed algorithms. Web based approach is required in proposed system to reduce manpower consumption and workload. Comparative study between existing feedback systems and proposed feedback system is established based on different characteristics.

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References

  1. Kundu, A.: Heterogeneous cloud architecture. Data Commun. Netw. 172 (2014)

    Google Scholar 

  2. Sarkar, S., Kundu, A., Banerjee, A.: Evaluation of reliable data storage in cloud using an efficient encryption technique. In: Handbook of Research on Cloud Computing and Big Data Applications in IoT, chap. 12, pp. 229–242. IGI Global Publication (2019)

    Google Scholar 

  3. Guha, S.K., Kundu, A., Dattagupta, R.: Energy stability in cloud for web page ranking. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds.) Information Systems Design and Intelligent Applications. AISC, vol. 434, pp. 621–630. Springer, New Delhi (2016). https://doi.org/10.1007/978-81-322-2752-6_61

    Chapter  Google Scholar 

  4. Sarkar, S., Kundu, A.: An indexed approach for multiple data storage in cloud. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds.) Information Systems Design and Intelligent Applications. AISC, vol. 433, pp. 639–646. Springer, New Delhi (2016). https://doi.org/10.1007/978-81-322-2755-7_66

    Chapter  Google Scholar 

  5. Guha, S.K., Kundu, A., Dattagupta, R.: Domain-based dynamic ranking. In: Advanced Research on Cloud Computing design and Applications. Advances in systems Analysis, Software Engineering, and High Performance Computing, chap. 17, pp. 262–279. IGI Global Publications (2015)

    Google Scholar 

  6. Sarkar, S., Kundu, A.: An approach on cloud disk searching using parallel channels. In: Advanced Research on cloud computing Design and Applications, Advances in systems Analysis, Software Engineering and High Performance Computing, chap. 18, pp. 280–304. IGI Global Publications (2015)

    Google Scholar 

  7. Kundu, A., Ji, C., Liu, R.: Cloud based heterogeneous distributed framework. In: Abraham, A., Thampi, S. (eds.) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol. 182, pp. 471–478. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-32063-7_50

    Chapter  Google Scholar 

  8. Sarkar, S., Kundu, A.: Performance enhancement of cloud based storage using disk scheduling technique. Int. J. Cloud Appl. Comput. 10(1), 46–63 (2020)

    Google Scholar 

  9. Kundu, A., Ji, C.: Swarm intelligence in cloud environment. In: Tan, Y., Shi, Y., Ji, Z. (eds.) ICSI 2012. LNCS, vol. 7331, pp. 37–44. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30976-2_5

    Chapter  Google Scholar 

  10. Kundu, A., Ji, C., Liu, R.: Software-as-a-service using heterogeneous distributed system for user specific applications. Int. J. Cloud Appl. Comput. 4(1), 15–32 (2014)

    Google Scholar 

  11. Kundu, A., Luan, L., Liu, R.: Synchronisation of data transfer in cloud. Int. J. Internet Protoc. Technol. 8(1), 1–24 (2014)

    Article  Google Scholar 

  12. Kundu, A., Xu, G., Ji, C.: Self organization behavior of intelligent cloud. J. Converg. Inf. Technol. 8(16), 39–47 (2013)

    Google Scholar 

  13. Kundu, A., Xu, G., Liu, R.: Efficient load balancing in cloud: a practical implementation. Int. J. Adv. Comput. Technol. 5(12), 43–54 (2013)

    Google Scholar 

  14. Sarkar, S., Kundu, A.: An eco friendly cloud searching technique with delay. Int. J. Green Comput. 9(1), 20–34 (2018)

    Article  Google Scholar 

  15. Banerjee, A., Kundu, A.: Software for feedback system using adaptive categorization & authenticated recommendation. Int. J. Open Source Softw. Process. 10(2), 37–69 (2019)

    Article  Google Scholar 

  16. Sivasankari, S., Srimathi, P.S., Ramya, S., Fatima, G.: Online feedback system for educational institutions for better evaluation of faculty’s performance using semantic web (SW) technology. Int. J. Innovative Res. Sci. Eng. Technol. 5(2), 275–279 (2016)

    Google Scholar 

  17. Rahaman, S., Raut, A.P., Adnan, S.A., Junghare, S.S.: Online student feedback system. Int. J. Res. Sci. Eng. 224–230 (2016)

    Google Scholar 

  18. Hatie, J., Trimperley, H.: The power of feedback. J. Rev. Educ. Res. 87(1), 81–112 (2007)

    Google Scholar 

  19. Subramanian, S., Sharma, M.: Improved feedback system in moodle. Int. J. Comput. Sci. Trends Technol. 4(6), 99–102 (2016)

    Google Scholar 

  20. Tarare, M., Manwani, M., Paidlewar, A., Maturkar, P., Chaudhuri, P., Shiral, J.V.: Feedback management system for evaluating and generating monthly report. Int. J. Emerg. Technol. Adv. Eng. 4(3), 519–521 (2014)

    Google Scholar 

  21. Vasilyeva, E., Puuronen, S., Pechenikiy, M., Rasanen, P.: Feedback adaption in web-based learning system. Int. J. Continuing Eng. Educ. Life-Long Learn. 17(4–5), 337–357 (2007)

    Google Scholar 

  22. Tsutsui, E., Owada, K., Konodo, Y., Nakano, M.: A proposal for a new-dimensional online feedback system: focusing on individual learner differences. In: Distance Learning and the Internet Conference, pp. 107–109 (2008)

    Google Scholar 

  23. Pradeep, V.: OTPES: online teaching performance evaluation system. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(5), 388–392 (2013)

    Google Scholar 

  24. Peter, M.C.: An automated feedback system for computer organization projects. IEEE Trans. Educ. 47(2), 232–240 (2004)

    Article  Google Scholar 

  25. Ardalan, A., Ardalan, R., Coppage, S., Crouch, W.: A comparison of student feedback obtained through paper-based and web-based surveys of faculty teaching. Br. J. Edu. Technol. 38(6), 1085–1101 (2007)

    Article  Google Scholar 

  26. Garvey, P.J., Sherlock, J.J.: A closer look at instructor-student feedback online: a case study analysis of the types and frequency. MERLOT J. Online Learn. Teach. 6(1), 110–120 (2010)

    Google Scholar 

  27. Banerjee, A.: Improving student’s learning with correct feedback: a model proposed for classroom utility. Int. J. Educ. Psychol. Res. (IJEPR) 3(4), 36–40 (2014)

    Google Scholar 

  28. Shameer, A.P., Haseeb, V.V., MiniMol, V.K.: Green approach for reducing energy consumption-a case study report. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 5(1), 359–363 (2015)

    Google Scholar 

  29. Grandon, E., Alshare, O., Kwan, O.: Factors influencing student attention to adopt online classes: a cross cultural study. J. Comput. Sci. Coll. 20(4), 46–56 (2005)

    Google Scholar 

  30. Park, S.Y.: An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educ. Technol. Soc. 12(3), 150–162 (2009)

    Google Scholar 

  31. Adzharuddin, N.A., Ling, L.H.: Learning management system (LMS) among university students: does it work. Int. J. e-Educ. e-Bus. e-Manag. e-Learn. 3(3), 248–252 (2013)

    Google Scholar 

  32. Nair, S., Patil, R.: A study on the impact of learning management systems on students of a university college in sultanate of oman. Int. J. Comput. Sci. 19(2), 379–385 (2012)

    Google Scholar 

  33. Coates, H., James, R., Baldwin, G.: A critical examination of the effects of learning management systems on university teaching and learning. Tertiary Educ. Manag. 19(36), 20–36 (2005)

    Google Scholar 

  34. Marcano, L., Manca, D., Yazidi, A., Komulainen, T.: A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training. Comput. Chem. Eng. 132, 106621 (2020)

    Article  Google Scholar 

  35. Cañabate, D., Nogué, L., Serra, T., Colomer, J.: Supportive peer feedback in tertiary education: analysis of pre-service teachers’ perceptions. Educ. Sci. 9(4), 280 (2019)

    Article  Google Scholar 

  36. Legette, R.M., Royo, J.: Pre-service music teacher perceptions of peer feedback. Res. Stud. Music Educ. 1321103X19862298 (2019)

    Google Scholar 

  37. Powell, J., et al.: Using online patient feedback to improve NHS services: the INQUIRE multimethod study. Health Serv. Deliv. Res. 7(38) (2019)

    Google Scholar 

  38. Pratiwi, H.Y., Winarko, W., Ayu, H.D.: The impact of problem solving strategy with online feedback on students’ conceptual understanding. In: Journal of Physics: Conference Series, vol. 1006, no. 1, p. 012024. IOP Publishing, April 2018

    Google Scholar 

  39. Kurniawan, B.: Use of Smartapps for administrative service based paperless system. In: IOP Conference Series: Materials Science and Engineering, vol. 662, no. 2, p. 022059. IOP Publishing (2019)

    Google Scholar 

  40. Dhrub, S.: Design and implementation of paperless office in ONGC. In: International Oil & Gas Conference Series (PETROTECH-2019) (2019)

    Google Scholar 

  41. Ilyushkin, A., Bauer, A., Papadopoulos, A.V., Deelman, E., Iosup, A.: Performance-feedback autoscaling with budget constraints for cloud-based workloads of workflows. Springer’s book on Advances in Intelligent Digital Ecosystems 4 arXiv preprint arXiv:1905.10270 (2019)

  42. Kundu, A., Xu, G., Ji, C.: Data specific ranking in cloud. Int. J. Cloud Appl. Comput. 4(4), 32–41 (2014)

    Google Scholar 

  43. Teixeira, L.A., et al.: Automatic postural responses are scaled from the association between online feedback and feedforward control. Eur. J. Neurosci. 51(10), 2023–2032 (2019)

    Article  Google Scholar 

  44. Wang, D., Wang, M., Shen, Y., Li, Q., Liang, X.: Online feedback dead-time compensation strategy for three-level t-type inverters. IEEE Trans. Ind. Electron. 67(9), 7260–7268 (2019)

    Article  Google Scholar 

  45. Ascetta, K., Harn, B., Durán, L.: Comparing self-reported and performance-based online feedback on early childhood teachers’ implementation of language strategies. Early Childhood Educ. J. 47(3), 353–365 (2019)

    Article  Google Scholar 

  46. Filius, R.M., de Kleijn, R.A., Uijl, S.G., Prins, F., van Rijen, H.V., Grobbee, D.E.: Promoting deep learning through online feedback in SPOCs. Frontline Learn. Res. 6(2), 92 (2018)

    Article  Google Scholar 

  47. Savvidou, C.: Exploring the pedagogy of online feedback in supporting distance learners. In: Advanced Learning and Teaching Environments-Innovation, Contents and Methods. IntechOpen (2018)

    Google Scholar 

  48. Yuksel, A.S., Cankaya, I.A., Cankaya, S.F.: IoT for hospitality industry: paperless buffet management. In: Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, pp. 1388–1408. IGI Global (2020)

    Google Scholar 

  49. Arney, J., Jones, I., Wolf, A.: Going green: paperless technology and feedback from the classroom. J. Sustain. Green Bus. 1(1) (2019)

    Google Scholar 

  50. Šuleř, P., Machová, V.: The possibilities of a paperless company concept. In: Ashmarina, S.I., Vochozka, M., Mantulenko, V.V. (eds.) ISCDTE 2019. LNNS, vol. 84, pp. 198–202. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27015-5_25

    Chapter  Google Scholar 

  51. Idris, D.S.R.P.H., Ismail, H.K.R.H.: BruTEL’s “going paperless” initiative. In: Green Behavior and Corporate Social Responsibility in Asia, pp. 141–146. Emerald Publishing Limited (2019)

    Google Scholar 

  52. Kundu, A., Xu, G., Ji, C.: Analysis on cloud classification using accessibility. Int. J. Cloud Appl. Comput. 4(3), 44–53 (2014)

    Google Scholar 

  53. Kundu, A., Xu, G., Ji, C.: Analysis on cloud classification using accessibility. Int. J. Cloud Appl. Comput. 4(1), 63–75 (2014)

    Google Scholar 

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Acknowledgement

The research work is funded by Computer Innovative Research Society, West Bengal, India. Award number is “2018/CIRS/R&D/1012-07-18/CFSPALA”.

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Authors and Affiliations

  1. Computer Innovative Research Society, West Bengal, 711103, India

    Ayan Banerjee & Anirban Kundu

  2. Netaji Subhash Engineering College, Kolkata, 700152, India

    Anirban Kundu

Authors
  1. Ayan Banerjee
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  2. Anirban Kundu
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Correspondence to Ayan Banerjee .

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Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. IFS, Technical University of Vienna, Vienna, Austria

    A Min Tjoa

  3. University of Pau and the Adour Region, Anglet, France

    Richard Chbeir

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Banerjee, A., Kundu, A. (2021). Cloud Based e-Feedback Services Using Performance Analysis: A Linear Approach. In: Hameurlain, A., Tjoa, A.M., Chbeir, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII. Lecture Notes in Computer Science(), vol 12630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62919-2_8

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  • DOI: https://doi.org/10.1007/978-3-662-62919-2_8

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