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A functional flavor of service composition

Authors: Liang Bao; Qian Li; Kai Zhen; Wei Xiang; Ping Chen;

A functional flavor of service composition

Abstract

Service composition is an emerging computing paradigm for constructing next-generation large-scale distributed applications within and across organizational boundaries. How to cope with the complexity of service composition resulting from increasingly sophisticated and heterogeneous services poses one of the great challenges for enterprises and organizations within many domains. This paper introduces a simple and novel service composition model based on functional programming and REST. We propose the λ @ -calculus which extends the classical λ-calculus to define identifier representing different resources and model a service as a function that consumes some identifiers and produces an result. A Functional Service Composition Language (FSCL) is also implemented based on our functional service composition model. The simplicity and optimization superiority of the proposed approach is verified by experimental results from a specific process in comparison with WS-BPEL.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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