A bpel-based method for on-demand dynamic high-performance service composition in a multi-domain environment

Abstract

An on-demand dynamic high-performance service combination method based on a BPEL in a multi-domain environment comprises the following steps that 1, setting a dynamic service combination prototype based on the BPEL, wherein the dynamic service combination prototype mainly comprises the following modules: a combination processing engine, a knowledge base, a service aggregation module and a failurerecovery module; Step 2, constructing a service compatibility model, and realizing efficient distributed data access by adopting a dynamic service path substitution method; And step 3, in the combination process of specific services, constructing a grammar unit and a corresponding push-down automaton through unit constraint and optimization by adopting the push-down automaton model, and realizingthe correspondence between the automaton model and the grammar unit.

Description

technical field [0001] The invention relates to a service composition method, in particular to a BPEL-based on-demand dynamic high-performance service composition generation method in a multi-domain environment. Background technique [0002] High-performance computing is an important engine supporting scientific discovery and technological innovation. The research and development level of supercomputer systems in my country is at the forefront of the world, and a few high-end applications have reached the international leading level. However, with the development and deployment of E-class computers and application software, the problem of mismatch between the scale of high-performance computing resources and computing service capabilities has become increasingly prominent, resulting in a large gap between my country's high-performance application level and foreign countries. How to promote the transformation of high-performance computing environment operation and usage mode ...

AI Technical Summary

Problems solved by technology

But generally speaking, because the research history is not long, the theoretical system, engineering methods and implementation technologies of service composition are still immature, especially dynamic service composition, there are still many research problems to be solved urgently: first, multi-domain environment The correctness guarantee of service composition planning needs to be improved; second, the failure recovery support for dynamic composition services in an open network environment is insufficient

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