A Platform for Analyzing Behaviors of Service-Oriented Application Based on the Probabilistic Model Checking

2015 ◽  
Vol 3 (2) ◽  
pp. 24-38 ◽  
Author(s):  
Jinyu Kai ◽  
Huaikou Miao ◽  
Kun Zhao ◽  
Jiaan Zhou ◽  
Honghao Gao
Keyword(s):  
Model Checking ◽  
Web Service ◽  
Probabilistic Model ◽  
Probabilistic Model Checking ◽  
Software Systems ◽  
Model Checker ◽  
System Behavior ◽  
Service Oriented ◽  
The Web ◽  
Oriented System

Service oriented software systems running in a highly open, dynamic and unpredictable Internet environment are inevitable to face all kinds of uncertainty. To monitor the operation of the web services system behavior analysis and analysis whether the system behavior is consistent with the requirements is the basis to determine whether the system needs to be reconfigured. In this paper, an analytical platform for the behavior of a web service-oriented system based on the probabilistic model checking is introduced which provides the basis for judging whether a system needs to be reconfigured by applying the approach of probabilistic model checking to verify whether the behavior system model is satisfied requirement properties. This platform is implemented in Java language and using the dot tool that the Graphviz provides and the PRISM model checker to construct the behavior model of the web service-oriented system based on web log files, to view and edit behavior models visually, and to convert the model from one form to another to make it convenience for users to use the model checker PRISM. Finally, we can judge whether the model is satisfied the desired requirements according to the verification result.

A Platform for Analyzing Behaviors of Service-Oriented Application Based on the Probabilistic Model Checking

2015 ◽  
pp. 831-844
Author(s):  
Jinyu Kai ◽  
Huaikou Miao ◽  
Kun Zhao ◽  
Jiaan Zhou ◽  
Honghao Gao
Keyword(s):  
Model Checking ◽  
Web Service ◽  
Probabilistic Model ◽  
Probabilistic Model Checking ◽  
Model Checker ◽  
System Behavior ◽  
Service Oriented ◽  
Prism Model ◽  
The Web ◽  
Oriented System

Service oriented software systems running in a highly open, dynamic and unpredictable Internet environment are inevitable to face all kinds of uncertainty. To monitor the operation of the web services system behavior analysis and analysis whether the system behavior is consistent with the requirements is the basis to determine whether the system needs to be reconfigured. In this paper, an analytical platform for the behavior of a web service-oriented system based on the probabilistic model checking is introduced which provides the basis for judging whether a system needs to be reconfigured by applying the approach of probabilistic model checking to verify whether the behavior system model is satisfied requirement properties. This platform is implemented in Java language and using the dot tool that the Graphviz provides and the PRISM model checker to construct the behavior model of the web service-oriented system based on web log files, to view and edit behavior models visually, and to convert the model from one form to another to make it convenience for users to use the model checker PRISM. Finally, we can judge whether the model is satisfied the desired requirements according to the verification result.

scholarly journals Efficient Selection of QoS Based Web Services using Modified TOPSIS Method

2019 ◽  
Vol 8 (2) ◽  
pp. 5732-5738
Keyword(s):  
Web Services ◽  
Web Service ◽  
Internet Technology ◽  
Service Oriented ◽  
User Expectations ◽  
Modified Topsis ◽  
Topsis Approach ◽  
The Web ◽  
Selection Of ◽  
Oriented System

Nowadays, due to the ease of availability of internet technology large numbers of people are using the World Wide Web. The companies are changing their way to do business. They are shifting from a data-oriented system to a service-oriented system. Now companies are able to depict their business in the form of web services and make them available on the internet. Due to this number of web services are available for satisfying the user’s need. But to select the best web service that satisfies user specification is a challenging issue. So, it is necessary to consider not only the functional requirement of the web services but also the nonfunctional requirements of the web services. On the other hand, users are not able to specify the exact nonfunctional parameter requirements so, there is a need for QoS processor which can understand the user's need and can extract the parameters for QoS. In this paper, a modified TOPSIS approach based on MCDM is proposed for the selection of efficient web service. The web services that are near to user expectations are selected out using the proposed method. Experimental outcomes show that the proposed approach determines the most promising results.

The Architecture Framework with Exception Handing in SOA

2010 ◽  
Vol 20-23 ◽  
pp. 992-997 ◽  
Author(s):  
Qing Wu ◽  
Shi Ying ◽  
You Cong Ni ◽  
Hua Cui
Keyword(s):  
Exception Handling ◽  
Software Systems ◽  
Separation Of Concerns ◽  
Clear Separation ◽  
Reliable Service ◽  
Architecture Framework ◽  
Service Oriented ◽  
Business Function ◽  
Oriented System

Service-oriented software systems are inherently complex and have to cope with an increasing number of exceptional conditions in order to meet the system’s dynamic requirements. This work proposes an architecture framework which has exception handling capability. This framework ensures the credibility of service-oriented software, during the architectural stage, by adding exception handling-related architecture elements and modeling exception handling process. It allows a clear separation of concerns between the business function and the exception handling unit, using reflection mechanism. It plays an important guiding role for achieving reliable service-oriented system.

scholarly journals Probabilistic Model Checking and Non-standard Multi-objective Reasoning

2014 ◽  
pp. 1-16 ◽  
Author(s):  
Christel Baier ◽  
Clemens Dubslaff ◽  
Sascha Klüppelholz ◽  
Marcus Daum ◽  
Joachim Klein ◽  
...  
Keyword(s):  
Model Checking ◽  
Probabilistic Model ◽  
Probabilistic Model Checking ◽  
Multi Objective ◽  
Objective Reasoning

scholarly journals A Railway Scheduling Method using Probabilistic Model Checking

2019 ◽  
Vol 9 (1) ◽  
pp. 6694-6698
Keyword(s):  
Model Checking ◽  
Probabilistic Model ◽  
Probabilistic Model Checking ◽  
Railway Transportation ◽  
Railway Network ◽  
Double Line ◽  
Arrival Times ◽  
Scheduling Method ◽  
Prism Model ◽  
The Impact

Trains scheduling is an important problem in railway transportation. Many companies use fixed train timetabling to handle this problem. Train delays can affect the pre-defined timetables and postpone destination arrival times. Besides, delay propagation may affect other trains and degrade the performance of a railway network. An optimal timetable minimizes the total propagated delays in a network. In this paper, we propose a new approach to compute the expected propagated delays in a railway network. As the main contribution of the work, we use Discrete-time Markov chains to model a railway network with a fixed timetable and use probabilistic model checking to approximate the expected delays and the probability of reaching destinations with a desired delay. We use PRISM model checker to apply our approach for analyzing the impact of different train scheduling in double line tracks.

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