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Response Time Based Optimal Web Service Selection
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Response Time Based Optimal Web Service Selection

Category : Networking Project


Sub Category : JAVA


Project Code : ITJNW02


Project Abstract

Response Time Based Optimal Web

Service Selection

ABSTRACT

In this paper, we propose a novel method for Quos metrification based on Hidden Markov Models (HMM), which further suggests an optimal path for the execution of user requests. The technique we show can be used to measure and predict the behavior of Web Services in terms of response time, and can thus be used to rank services quantitatively rather than just qualitatively. We demonstrate the feasibility and usefulness of our methodology by drawing experiments on real world data. The results have shown how our proposed method can help the user to automatically select the most reliable Web Service taking into account several metrics, among them, system predictability and response time variability. For Internet services, the presence of low-performance servers, high latency or overall poor service quality can translate into lost sales, user frustration, and customers lost.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

In existing, they have focused on predicting reliability of various factors involved in building enterprise application, nonetheless, considered reliability of remote web service as constants.

For remote web services the vender will provide probabilistic details about the flow of executing user requests.

PROPOSED CONCEPT:-

We propose a novel method for Quos metrification based on Hidden Markov Models (HMM), which further suggests an optimal path for the execution of user requests.

The users can weigh their options directly and individually, for themselves.

EXISTING ALGORITHM:-

CSPN model

PROPOSED ALGORITHM:-

Hidden Markov Models.

ALGORITHM DEFINITION:-

This model deals more with design time problems and does not reflect the impact of problems that occur at runtime.

 They have studied in detail transactional dependency among different type of web services.

ALGORITHM DEFINITION:-

Building a directed graph among hidden states of component web services used in composition.  Analyzing the current status of each vertex of directed graph i.e., underlying hidden states.

Predicting hidden states’ behavior in terms of response time during nth time interval t. Finally, selecting optimal web services used in composition based on hidden states’ behavior.

DRAWBACKS:-

Quality of Service is not good.

Response time calculation is not possible.

 

ADVANTAGES:-

Quality of Service is good.

Response time calculation is possible.

 

 
 
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