2010
DOI: 10.4018/jaras.2010100105
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Mixing Workflows and Components to Support Evolving Services

Abstract: Composite distributed services involve local and remote services that get orchestrated according to specific business logic. This logic can be programmed by applying a traditional general-purpose programming language, but is generally described using a workflow language that coordinates a set of given services. The services involved in the composition, or the composition may need to evolve both at the business logic level (workflow level) and the global architecture level. This paper presents a solution to eas… Show more

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Cited by 2 publications
(1 citation statement)
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“…The latter is based on the concept of "autocatalytic software" [76] or chemical computing [54]; essentially, protocols emerge automatically as collections of "fraglets, " i.e., combinations of code segments and parameters that are evolved, respectively, by distributed GP [89,90] and distributed EAs [4], and spread over the network through opportunistic (epidemic) propagation [3] regulated by interactions with the environment. On top of this, another EA optimizes the combination of protocols, i.e., the protocol stack [8,29,55].…”
Section: Evolutionary Learning Applied To Networked Systemsmentioning
confidence: 99%
“…The latter is based on the concept of "autocatalytic software" [76] or chemical computing [54]; essentially, protocols emerge automatically as collections of "fraglets, " i.e., combinations of code segments and parameters that are evolved, respectively, by distributed GP [89,90] and distributed EAs [4], and spread over the network through opportunistic (epidemic) propagation [3] regulated by interactions with the environment. On top of this, another EA optimizes the combination of protocols, i.e., the protocol stack [8,29,55].…”
Section: Evolutionary Learning Applied To Networked Systemsmentioning
confidence: 99%