SEAug 29, 2013

Development of a language and its enacting engine for the unified discovery of heterogeneous services

arXiv:1308.6413v1
Originality Incremental advance
AI Analysis

This addresses the tedious and ineffective service discovery problem for developers working with web, peer-to-peer, and grid services.

The paper tackles the challenge of service discovery across heterogeneous service-oriented technologies by proposing a unified framework with a service query language and discovery engine. Experimental measurements demonstrate the framework's viability, performance, and effectiveness.

Service orientation fosters a high-level model for distributed applications development, which is based on the discovery, composition and reuse of existing software services. However, the heterogeneity among current service-oriented technologies renders the important task of service discovery tedious and ineffective. This dissertation proposes a new approach to address this challenge. Specifically, it contributes a framework supporting the unified discovery of heterogeneous services, with a focus on web, peer-to-peer, and grid services. The framework comprises a service query language and its enacting service discovery engine. Overall, the proposed solution is characterized by generality and flexibility, which are ensured by appropriate abstractions, extension points, and their sup- porting mechanisms. The viability, performance, and effectiveness of the proposed framework are demonstrated by experimental measurements.

Foundations

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