StockMarket Forecasting Using Hidden Markov Model: A New Approach
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
A Hidden Markov Model of Customer Relationship Dynamics
Marketing Science
Performance prediction of web service workflows
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
An Approach for Web Service QoS Prediction Based on Service Using Information
ICSS '10 Proceedings of the 2010 International Conference on Service Sciences
MTTF of Composite Web Services
ISPA '10 Proceedings of the International Symposium on Parallel and Distributed Processing with Applications
Aspect-oriented checkpointing approach of composed web services
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Achieving recovery in service composition with assurance points and integration rules
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
A Study of Web Services Performance Prediction: A Client's Perspective
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
An Enhanced QoS Prediction Approach for Service Selection
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
| Hi-index | 0.00 |
Availability of services on Internet has provided unique opportunity to customers as well as providers for conducting e-business. This new business paradigm can succeed provided selection of services is accomplished to customer satisfaction in terms of service delivery time as well as service quality. Instead of leaving it to service provider to declare expected service response time, it would be of great use if there is a way by which service customers could dynamically determine response time of a service at the time of service request. Hence we propose a HMM model for forecasting response time of a web service before making a call to it. The paper deals with model details and proposes a framework for implementation of the model. We also demonstrate its usability in scenarios like checkpointing orchestrated services.