service architecture of grid faults diagnosis expert system based on web service wang mingzan, zhang...

Service Architecture of Grid Faults Diagnosis Expert System

Based on Web Service

Wang Mingzan Zhang ziye

1049284Northeastern University Shenyang 110004 China1049284

The Eighth International Conference on Electronic Measurement and Instruments ICEMIrsquo2007

Outline

bull Introduction

bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA

bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer

bull Conclusion

Introduction

bull With the advance of computer technology the scale and complexity of modern system is increased dramatically Once some accidents take place it will lead to tremendous loss

bull The appearance of faults diagnosis and fault-tolerant controlling technology opens a new path for advancing the reliability of complex system

bull The grid computing technology was firstly used in faults diagnosis expert system in the paper


Open Grid Services Architecture

OGSA Based on Web Services

User

Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data


bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser

bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol



Grid Service Layer Base on OGSA

bull The grid services include procedure execution data service and so on

bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)


bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks

(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid

(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service

(3) Monitor the status of these threads perform fault diagnoses and compile the result


DGMA Based on Fault Diagnosis Expert Systems


bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service

bull Therefore it reduces the clientrsquos load and achieves the application deserializing

Application


Grid Nodes of Fault Diagnosis Expert Systems

bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively

bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers

bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid

Application


Data Transfer

bull The experimental environment of the design is established in LAN

bull We use 4 PC to construct a grid middleware

bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP

bull Then used API function to realize data transfer through Java Cog Kit

Data Transfer

bull (1) Establish a Spec of transmission task this Spec is similar to RSL

bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit

bull (3) Establish a transmission serve for the data resources of the source address

bull (4) Establish a transmission service for the data resources of the destination address

bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services

bull (6) Submit the duty and realize data transmission

Data Transfer

bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively

bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)

Data Transfer

bull Through above application it can reduce the transfer latency brought by the network

bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided

Conclusion

bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code

bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading

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Outline

bull Introduction



bull Conclusion

Introduction







User




















Application






Application


Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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Introduction







User




















Application






Application


Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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User




















Application






Application


Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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Application






Application


Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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Application


Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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Data Transfer





Data Transfer







Data Transfer



Data Transfer



Conclusion



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Data Transfer







Data Transfer



Data Transfer



Conclusion



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Data Transfer



Data Transfer



Conclusion



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Data Transfer



Conclusion



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Conclusion



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service architecture of grid faults diagnosis expert system based on web service wang mingzan, zhang...

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