A new method on provider Description support Customization
Abstract
With the developing diversity of recent technology and network offerings, the restrictions of present-day layered networks have come to be extra obvious. The layered structure will increase the difficulty of designing a protocol for each new carrier. A better alternative is to construct a based and modular structure for the design and implementation of recent requirements and protocols. dependent networks provide a provider via the dynamic composition of common protocol function blocks with appreciation to consumer requirements. in order to make such mechanism paintings well, how to describe network services becomes one of the maximum important troubles. therefore, this paper gives a brand new method of service description helping customization. firstly this paper provides several new types of based networks which can be divided into sorts, after which the kinds of atomic services and service instances are summarized. the second component introduces a new network carrier description technique for formal description and analysis of community conduct. This approach consists of formal definitions and a processing model based on process algebra. moreover, this paper discusses a study of description guidelines based totally on the XML schema. ultimately, the simulation outcomes have proved its feasibility and efficiency.
References
Singu, S., & Tunguturi, M. (2015). Fundamentals and awareness of robotics. Transactions on Latest Trends in Health Sector, 7(7). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/191
Tunguturi, M. (2017). Extremely Low strength design for Water Purification. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/190
Whig, P., & Ahmad, S. N. (2014d). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.
Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.
Tunguturi, M., & Singu, S. (2012). The growth of Bigdata in Information Technology. Transactions on Latest Trends in Health Sector, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/189
Tunguturi, M. (2010). Artificial intelligence and machine learning in the enterprise. Transactions on Latest Trends in Health Sector, 2(2). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/187
Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 1–9.
Khera, Y., Whig, P., & Velu, A. (2021a). efficient effective and secured electronic billing system using AI. Vivekananda Journal of Research, 10, 53–60.
Tunguturi, M. (2022). Moment Localization Using Multi-Scale 2D Temporal Adjacent Networks and Natural Language. International Journal of Machine Learning for Sustainable Development, 4(3), 1-10. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/115
Tunguturi, M. (2022). AI Analysis for Tic-Tac- Toe Game. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/93
Tunguturi, M. (2018). Avoid Road Accident Using IoT. Transactions on Latest Trends in IoT, 1(1), 31-40. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/167
Singu, S. (2021). Network based Weaknesses & Countermeasures. International Journal of Sustainable Development in Computing Science, 3(3), 47-52. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/179
Singu, S. (2021). Comparative Analysis of Artificial Neural Networks. International Journal of Machine Learning for Sustainable Development, 3(4). Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/192
Singu, S. (2018). Blockchain based answer for comfortable Audit logs. Transactions on Latest Trends in IoT, 1(1), 21-30. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/166
Tunguturi, M., & Singu, S. (2016). Automation of human behaviors and its prediction . International Journal of Statistical Computation and Simulation, 8(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/53
Singu, S., & Tunguturi, M. (2014). More on Neural community and fuzzy device. International Journal of Statistical Computation and Simulation, 6(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/50
Singu, S., & Tunguturi, M. (2013). Fundamental standards and uses of big data analytics. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/47
Tunguturi, M. (2018). American & Indian Comics on Instagram using Machine learning. International Journal of Statistical Computation and Simulation, 10(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/60
Tunguturi, M. (2011). More on Big data to the world. International Journal of Statistical Computation and Simulation, 3(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/45
Tunguturi, M. (2009). More On Principles and Applications of Big Data Analytics. International Journal of Statistical Computation and Simulation, 1(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/43
Tunguturi, M. (2021). Dark Web Researchers Directory Services. Transaction on Recent Devlopment in Industrial IoT, 13(13). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/65
Tunguturi, M., & Singu, S. (2015). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 7(7). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/64
Tunguturi, M., & Singu, S. (2014). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 6(6). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/63
Singu, S., & Tunguturi, M. (2016). Smart agriculture utility the use of fog-iot. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 8(8). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/67
Singu, S. (2019). A new method on provider Description support Customization . Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 11(11). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/68
Tunguturi, M. (2021). More on Artificial Intelligence in COVID-19. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/69
Singu, S. (2022). An IOT based Home Automation System (HAS). International Journal of Machine Learning for Sustainable Development, 4(2), 11-20. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/95
Tunguturi, M. (2019). Comparative Analysis of Balancing Techniques in Cloud Computing. International Journal of Managment Education for Sustainable Development, 2(2), 41-50. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/171
Singu, S. (2019). Trends of Text Mining Techniques used in Social Media Websites. International Journal of Managment Education for Sustainable Development, 2(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/172
Singu, S. (2017). A robust technique for image processing. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/193
Singu, S. (2021). Novel HealthCare Framework for Cardiac Arrest. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/71
Singu, S. (2021). Business Intelligence on the Quality of Decision Making. International Journal of Statistical Computation and Simulation, 13(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/24
Singu, S. (2022). Analysis Of Mental Health During COVID-19 Pandemic. International Journal of Sustainable Development in Computing Science, 4(3), 41-50. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/101
Singu, S. (2022). Web Based Automated Online Examination System. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/91
Singu, S., & Tunguturi, M. (2017). Protect Personal Privacy And Wasting Time Using AI and ML. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/72
Tunguturi, M. (2020). Children and the coronavirus disease 2019 pandemic. Transactions on Latest Trends in IoT, 3(3), 11-22. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/133
Tomar, U., Chakroborty, N., Sharma, H., & Whig, P. (2021). AI based Smart Agricuture System. Transactions on Latest Trends in Artificial Intelligence, 2(2).
Velu, A., & Whig, P. (2021a). Protect Personal Privacy And Wasting Time Using Nlp: A Comparative Approach Using Ai. Vivekananda Journal of Research, 10, 42–52.
Singu, S. (2020). A structural approach to tracking the spread of the SARS-CoV-2 pandemic in educational settings. Transactions on Latest Trends in IoT, 3(3), 23-32. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/134
Singu, S. (2020). Socially distant smart gadget for COVID-19. Transactions on Latest Trends in Health Sector, 12(12). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/194
Mahesh Tunguturi, & Samrajyam Singu. (2022). AFFECTATION INDEX AND SEVERITY DEGREE BY COVID-19 IN CHEST X-RAY IMAGES USING ARTIFICIAL INTELLIGENCE. International Journal of Innovations in Engineering Research and Technology, 9(9), 37–46. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3460
Samrajyam Singu and Mahesh Tunguturi, “LUNG CANCER DIAGNOSIS USING MACHINE LEARNING”, IEJRD - International Multidisciplinary Journal, vol. 6, no. 2, p. 15, Mar. 2021.
