Author : Miss. Dolly Patel 1
Date of Publication :7th March 2015
Abstract: Cloud computing provides quick delivery of services and it provides benefits from low-cost and pay-byuse model. Cloud computing is very flexible it poses great threat to security of user data as user user fully trust o cloud services and data is transparent to the user. So there are many existing systems which provides security to the cloud and user data but there is no security mechanism for the data transmission or the data path. Therefore our system is focusing on the data transition path in which user can safely access and update the data on cloud. So our project provides session key for securing data transition path. The user will autonomously interact with the cloud without the external interface .We pay more attention on synchronizing and access rights to the user.
Reference :
-
- Stefanos Doltsinis, Pedro Ferreira, and Niels Lohse, “An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis”, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, VOL. 44, NO. 9, SEPTEMBER 2014
- Idris, Husni, John R. Hansman, “Observation and Analysis of Departure Operations at Boston Logan International Airport”, Ph.D.Thesis, Massachusetts Institute of Technology, Cambridge, MA, url: http://hdl.handle.net/1721.1/8862,2001
- http://www.b737mrg.net/downloads/b737mrg_dela ycodes.pdf
- Barrer, J.N., G.F. Swetnam, W.E. Weiss, “The Feasibility Study of using Computer Optimization for Airport Surface Traffic Management”, The MITRE Corporation, MTR89W00010, 1989
- Idris, H.R., B. Delcaire, I. Anagnostakis, W.D. Hall, N. Pujet, E. Feron, R.J. Hansman, J.P. Clarke, and A.R. Odoni, “Identification of Flow Constraints and Control Points in Departure Operations at Airport System.”, Proceedings AIAA Guidance, Navigation and Control Conference, AIAA 98-4291, Boston, MA,1998
- Anagnostakis, I., H.R. Idris, J.P. Clarke, E. Feron, R J. Hansman, A R. Odoni, and W.D. Hall, “A Conceptual Design of a Departure Planner Decision Aid”, Presented at the 3rd USA/Europe Air Traffic Management R&D Seminar, Naples, Italy,2000
- Shumsky, R.A., “Real Time Forecasts of Aircraft Departure Queues”, Air Traffic Control Quarterly, Vol. 5(4), 1997
- Lindsay, K., D. Greenbaum, C. Wanke, “Predeparture Uncertainty and Prediction Performance in Collaborative Routing Coordination Tools”, Journal of Guidance, Control, and Dynamics, Vol. 28(6), 2005
- Laskey, K.B., N. Xu, C-.H. Chen, “Propagation of Delays in the National Airspace System”, Technical Report, url:http://ite.gmu.edu/~klaskey/papers/UAI2006_Dela y.pdf, 2006
- Futer, A., “Improving ETMS Ground Time Predictions”, 25th Digital Avionics Systems Conference, 2006 IEEE/AIAA, pp.1-12, 2006 [11] Tu, Y., M.O. Ball and W. Jank, “Estimating Flight Departure Delay Distributions -- a Statistical Approach with Long-Term Trend and Short-Term Pattern”, Technical Report, U. of Maryland, 2005
- Clow, M., K. Howard, B. Midwood, and R. Oiesen, 2004, “Analysis of the Benefits of Surface Data for ETMS”, Volpe National Transportation Systems Center, VNTSC-ATMS-04-01, 2004
- Welch, J., S. Bussolari, S. Atkins, “Using Surface Surveillance to Help Reduce Taxi Delays”, AIAA Guidance, Navigation & Control Conference, AIAA-2001-4360, Montreal, Quebec, 2001
- Signor, D.B., and B.S. Levy, “Accurate OOOI Data: Implications for Efficient Resource Utilization”, Sensis Corporation 25th Digital Avionics Systems Conference, 2006
- Poornima Balakrishna, Rajesh Ganesan, Lance Sherry, “Estimating Taxi-out times with a reinforcement learning algorithm”, Center for Air Transportation Systems Research, George Mason University, Fairfax, VA Benjamin S. Levy, Sensis Corporation, East Syracuse, NY, 2008