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Method and System for Implementing Service Registry with Generalized Brain-State-In-A-Box Feedback Mechanism During Semantic Service Discovery and Selection

IP.com Disclosure Number: IPCOM000202329D
Publication Date: 2010-Dec-14
Document File: 4 page(s) / 124K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system for realizing real-time service composition based on n-parameter variability analysis during service discovery and selection process. The method enables service registry to recommend best service which is qualified based on result derived by applying Generalized-Brain-State-in-a-Box (GBSB) technique on service performance history information which is stored as a set of patterns.

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Method and System for Implementing Service Registry with Generalized Brain-State-In-A-Box Feedback Mechanism During Semantic Service Discovery and Selection

A method and system is disclosed for realizing real-time service composition based on n-parameter variability analysis during service discovery and selection process. The method enables service registry to recommend best service which is qualified based on result derived by applying Generalized-Brain-State-in-a-Box (GBSB) technique on service performance history information which is stored as a set of patterns.

The fig. 1 illustrates a simplified and conceptual view of current service discovery mechanism

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Figure 1

The service discovery process flow is as below:
Step 1 - Service requestor passes the service details (typically service name

Step 2 - The discovery service delegates the request to semantic matchmaker Step 3 and 4 - The matchmaker contacts and discovers a set of matching services (semantically

from the service repository


Step 5 - The results from matchmaker are passed to discovery service Step 6 - The discovery service returns the results to service requestor

In accordance with the method and system disclosed herein, input patterns are created based on various dimensions from input request and with their associated values. For example, consider dimensions such as Cost, Duration and other QoS parameters like Reliability, Availability and Security. For these dimensions, the ratings are normalized to scale from 0.0 to 1.0. For illustration purpose, the requirements of service requestor is to find a suitable service with this criteria - reasonably priced, low execution time, good reliability, highly available.

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1


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Representing the above terminology quantitatively to arrive at a value on a normalized scale,
Cost = 0.5 (reasonably priced

)

Duration = 0.8 (which executes fast

)

Reliability of at least 0.6

Availabilit

y

= 1 (highly available

)

Security = 0.2 (not very critical

)

The above dimensions and val...