With the increasing trend towards edge and fog computing, the aim of the RECAP simulator is to simulate large scale scenarios in the cloud, fog and edge computing space in order to provide decision and control support for application and data center resource administration. This will be accomplished through the simulation of applications and application subsystems, simulation of infrastructure resources and resource management systems, and experimentation and validation of simulation results. The RECAP simulator and associated models will provide support for understanding and predicting impact on resources, workloads and quality of service (QoS) metrics as well as trade-offs for energy efficiency and cost within cloud, edge and fog computing scenarios, while maintaining the service level agreements (SLAs) of users.
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Received 29 Jan, 2020, Accepted 06 Apr, 2020, Published 01 Apr, 2020
Cloud Computing, Computer Centres, Contracts, Digital Simulation, Distributed Processing, Quality of Service, Resource Allocation
[1] Dewani, A., Bhatti, S., Memon, M. A., Arif, W. A., Arain, Q., & Zehra, S. B. (2018). Sign Language e-Learning system for hearing-impaired community of Pakistan. International Journal of Information Technology, 10(2), 225-232.
[2] Alvi, A. K., Azhar, M. Y. B., Usman, M., Mumtaz, S., Rafiq, S., Rehman, R. U., & Ahmed, I.Pakistan sign language recognition using statistical template matching. International Journal of Information Technology, 1(1): 1-12(2004).
[3] P. V. V. Kishore and P. Rajesh Kumar, "A Video Based Indian Sign Language Recognition System (INSLR) Using Wavelet Transform and Fuzzy Logic," International Journal of Engineering and Technology,4(5), 537-542 (2012)
[4] Saad M. Darwish, Magda M. Madbouly, and Murad B. Khorsheed, "Hand Gesture Recognition for Sign Language: A New Higher Order Fuzzy HMM Approach," International Journal of Engineering and Technology vol. 8, no. 3, pp. 157-164, 2016.
[5] Ali, S. A. “Detection of Urdu Sign Language using Harr Algorithms”International Journal of Inventive Engineering and Sciences (IJIES)1(6): 2319–9598(2013)
[6] Panda, Sarthak, Sasmita Mahakud, and Mihir Narayan Mohanty. "Counting aid for dumb and illitrate people using image processing approach." Communication and Signal Processing (ICCSP) International Conference on. IEEE (2016)
[7] Kausar, S., Javed, M. Y., & Sohail, S.Recognition of gestures in Pakistani sign language using fuzzy classifier. In Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision. World Scientific and Engineering Academy and Society (WSEAS) pp. 101-105(2008)
[8] Buehler, P., Everingham, M., Huttenlocher, D. P., & Zisserman, A. Long term arm and hand tracking for continuous sign language TV broadcasts. In Proceedings of the 19th British Machine Vision Conference pp. 1105-1114(2008).
[9] Philippine Federation of the DeafFilipino Sign Language: A compilation of signs from regions of the Philippines Part 1. PhilippineFederation of the Deaf(2005)
[10] Parvez, K., Khan, M., Iqbal, J., Tahir, M., Alghamdi, A., Alqarni, M., ... & Javaid, N. (2019). Measuring effectiveness of mobile application in learning basic mathematical concepts using sign language. Sustainability, 11(11), 3064.
[11] Kadous, Waleed “GRASP: Recognition of Australian sign languageusing Instrumented gloves”, pp.1-2,4-8(1995)
[12] I., Wachsmuth, T. Sowa (Eds.), “Towards an Automatic SignLanguage Recognition System using Subunits”, pp. 1-2(2001)
[13] Stokoe, W. C., \Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf", Studies in Linguistics: Occasional papers,Vol.8:(1960)
[14] Liddell, S. K., Grammar, Gesture, and Meaning in American Sign Language,Cambridge University Press, (2003)
[15] Wu, Y. and T. S. Huang, \Vision-Based Gesture Recognition: A Review", LectureNotes in Computer Science, 1739(1): 103+(1999)
[16] Vogler, C. & Metaxas, D. Handshapes and movements: Multiple-channel ASL recognition. In Springer Lecture Notes in Artificial Intelligence. Proceedings of the Gesture Workshop'03,Genova, Italy., pages 247–258(2004)
[17] Zhang, L.-G., Chen, Y., Fang, G., Chen, X., & Gao, W. A vision-based sign language recognition system using tied-mixture density hmm. In ICMI '04: Proceedings of the 6th international conference on Multimodal interfaces, pages 198–204(2004)
[18] S. Mitra and T. Acharya, “Gesture recognition: A survey,” IEEE Transactions on Systems,Man and Cybernetics Part C 37(3): 311 –324(2007)
[19] C. Vogler and D. Metaxas, “Handshapes and movements: Multiple-channel american sign
language recognition,” in Proceedings of the International Gesture Workshop. Genova: 15 – 17, pp. 247 – 258(2003)
[20] Armstrong, D. F., Stokoe, W. C., Wilcox, S. E.: Gesture and the natuer of language. CambridgeAcademic Press (1995)
[21] SignPS homepage http://www.handicom.nl/english/SignPS/index.asp
[22] VisiCast homepage http://www.visicast.co.uk/
[23] WISDOM homepage http://www.mobilewisdom.org/
[24] Conrad R. The deaf school child. London: Harper and Row; 1979, 370 p.
[25] Domínguez AB, Alegría J. Reading mechanisms in orally educateddeaf adults. J Deaf Stud Deaf Educ. [electronic edition]. (2009-2012)
[26]. Esteban ML, editor. Libro blanco de la lengua de signos espa˜nola en el sistemaeducativo. Madrid: CNSE:107 p. (2003)
[27] Fellinger J, Holzinger D, Dobner U, et al. An innovative and reliable way of measuringhealth-related quality of life and mental distress in the deaf community.Soc Psychiatry Psychiatr Epidemiol.40:245–50(2005)
[28] Dr. Nasir Sulman, Sadaf Zuberi, Pakistan Sign Language – A Synopsis, Sustainable Development Networking Programme, Pakistan Ô IUCN- The World Conservation Union.(2000)
[2] Alvi, A. K., Azhar, M. Y. B., Usman, M., Mumtaz, S., Rafiq, S., Rehman, R. U., & Ahmed, I.Pakistan sign language recognition using statistical template matching. International Journal of Information Technology, 1(1): 1-12(2004).
[3] P. V. V. Kishore and P. Rajesh Kumar, "A Video Based Indian Sign Language Recognition System (INSLR) Using Wavelet Transform and Fuzzy Logic," International Journal of Engineering and Technology,4(5), 537-542 (2012)
[4] Saad M. Darwish, Magda M. Madbouly, and Murad B. Khorsheed, "Hand Gesture Recognition for Sign Language: A New Higher Order Fuzzy HMM Approach," International Journal of Engineering and Technology vol. 8, no. 3, pp. 157-164, 2016.
[5] Ali, S. A. “Detection of Urdu Sign Language using Harr Algorithms”International Journal of Inventive Engineering and Sciences (IJIES)1(6): 2319–9598(2013)
[6] Panda, Sarthak, Sasmita Mahakud, and Mihir Narayan Mohanty. "Counting aid for dumb and illitrate people using image processing approach." Communication and Signal Processing (ICCSP) International Conference on. IEEE (2016)
[7] Kausar, S., Javed, M. Y., & Sohail, S.Recognition of gestures in Pakistani sign language using fuzzy classifier. In Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision. World Scientific and Engineering Academy and Society (WSEAS) pp. 101-105(2008)
[8] Buehler, P., Everingham, M., Huttenlocher, D. P., & Zisserman, A. Long term arm and hand tracking for continuous sign language TV broadcasts. In Proceedings of the 19th British Machine Vision Conference pp. 1105-1114(2008).
[9] Philippine Federation of the DeafFilipino Sign Language: A compilation of signs from regions of the Philippines Part 1. PhilippineFederation of the Deaf(2005)
[10] Parvez, K., Khan, M., Iqbal, J., Tahir, M., Alghamdi, A., Alqarni, M., ... & Javaid, N. (2019). Measuring effectiveness of mobile application in learning basic mathematical concepts using sign language. Sustainability, 11(11), 3064.
[11] Kadous, Waleed “GRASP: Recognition of Australian sign languageusing Instrumented gloves”, pp.1-2,4-8(1995)
[12] I., Wachsmuth, T. Sowa (Eds.), “Towards an Automatic SignLanguage Recognition System using Subunits”, pp. 1-2(2001)
[13] Stokoe, W. C., \Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf", Studies in Linguistics: Occasional papers,Vol.8:(1960)
[14] Liddell, S. K., Grammar, Gesture, and Meaning in American Sign Language,Cambridge University Press, (2003)
[15] Wu, Y. and T. S. Huang, \Vision-Based Gesture Recognition: A Review", LectureNotes in Computer Science, 1739(1): 103+(1999)
[16] Vogler, C. & Metaxas, D. Handshapes and movements: Multiple-channel ASL recognition. In Springer Lecture Notes in Artificial Intelligence. Proceedings of the Gesture Workshop'03,Genova, Italy., pages 247–258(2004)
[17] Zhang, L.-G., Chen, Y., Fang, G., Chen, X., & Gao, W. A vision-based sign language recognition system using tied-mixture density hmm. In ICMI '04: Proceedings of the 6th international conference on Multimodal interfaces, pages 198–204(2004)
[18] S. Mitra and T. Acharya, “Gesture recognition: A survey,” IEEE Transactions on Systems,Man and Cybernetics Part C 37(3): 311 –324(2007)
[19] C. Vogler and D. Metaxas, “Handshapes and movements: Multiple-channel american sign
language recognition,” in Proceedings of the International Gesture Workshop. Genova: 15 – 17, pp. 247 – 258(2003)
[20] Armstrong, D. F., Stokoe, W. C., Wilcox, S. E.: Gesture and the natuer of language. CambridgeAcademic Press (1995)
[21] SignPS homepage http://www.handicom.nl/english/SignPS/index.asp
[22] VisiCast homepage http://www.visicast.co.uk/
[23] WISDOM homepage http://www.mobilewisdom.org/
[24] Conrad R. The deaf school child. London: Harper and Row; 1979, 370 p.
[25] Domínguez AB, Alegría J. Reading mechanisms in orally educateddeaf adults. J Deaf Stud Deaf Educ. [electronic edition]. (2009-2012)
[26]. Esteban ML, editor. Libro blanco de la lengua de signos espa˜nola en el sistemaeducativo. Madrid: CNSE:107 p. (2003)
[27] Fellinger J, Holzinger D, Dobner U, et al. An innovative and reliable way of measuringhealth-related quality of life and mental distress in the deaf community.Soc Psychiatry Psychiatr Epidemiol.40:245–50(2005)
[28] Dr. Nasir Sulman, Sadaf Zuberi, Pakistan Sign Language – A Synopsis, Sustainable Development Networking Programme, Pakistan Ô IUCN- The World Conservation Union.(2000)