Machine Learning for Emergent Middleware

Andriescu

Cardoso³

et al. 2015

J Internet Serv Appl

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Given the highly dynamic and extremely heterogeneous software systems composing the Future Internet, automatically achieving interoperability between software components -without modifying them-is more than simply desirable, it is quickly becoming a necessity. Although much work has been carried out on interoperability, existing solutions have not fully succeeded in keeping pace with the increasing complexity and heterogeneity of modern software, and meeting the demands of runtime support. On the one hand, solutions at the application layer synthesise intermediary entities, mediators, to compensate for the differences between the interfaces of components and coordinate their behaviours, while assuming the use of the same middleware solution. On the other hand, solutions at the middleware layer deal with interoperability across heterogeneous middleware technologies but do not reconcile the differences between components interfaces and behaviours at the application layer. In this paper we propose a unified approach for achieving interoperability between heterogeneous software components with compatible functionalities across the application and middleware layers. First, we provide a solution to automatically generate cross-layer parsers and composers that abstract network messages into a uniform representation independent of the middleware used. Second, these generated parsers and composers are integrated within a mediation framework to support the deployment of the mediators synthesised at the application layer. More specifically, the generated parser analyses the network messages received from one component and transforms them into a representation that can be understood by the application-level mediator. Then, the application-level mediator performs the necessary data conversion and behavioural coordination. Finally, the composer transforms the representation produced by the application-level mediator into network messages that can be sent to the other component. The resulting unified mediation framework reconciles the differences between software components from the application down to the middleware layers. We validate our approach through a case study in the area of conference management.

Section: Synthesis Of Application-layer Mediatorsmentioning

confidence: 99%

A unifying perspective on protocol mediation: interoperability in the future internet

Andriescu

Cardoso³

et al. 2015

J Internet Serv Appl

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“…On the practical side, the syntactic descriptions of all operations and input/output data include semantic annotations referring to concepts in the domain ontology. These annotations can either be specified by the developer of the component or automatically inferred using learning techniques [24], [25]. The dual provided action β = op, i, o uses the inputs and produces the corresponding output.…”

Section: Modelling Components By Combining Ontologies and Labelled Trmentioning

confidence: 99%

Automated Synthesis of Mediators to Support Component Interoperability

IIEEE Trans. Software Eng.

Issarny

2015

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“…Consequently, learning techniques are often used to infer additional information about the components and complete their capabilities. The additional information can include the semantics of the interface of a component [3], its behaviour [16], or its non-functional properties [10].…”

Section: Collaborative Adaptationmentioning

confidence: 99%

Requirements-driven mediation for collaborative security

Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

Bandara

Jackson

et al. 2014

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Security is concerned with the protection of assets from intentional harm. Secure systems provide capabilities that enable such protection to satisfy some security requirements. In a world increasingly populated with mobile and ubiquitous computing technology, the scope and boundary of security systems can be uncertain and can change. A single functional component, or even multiple components individually, are often insufficient to satisfy complex security requirements on their own.Adaptive security aims to enable systems to vary their protection in the face of changes in their operational environment. Collaborative security, which we propose in this paper, aims to exploit the selection and deployment of multiple, potentially heterogeneous, software-intensive components to collaborate in order to meet security requirements in the face of changes in the environment, changes in assets under protection and their values, and the discovery of new threats and vulnerabilities.However, the components that need to collaborate may not have been designed and implemented to interact with one another collaboratively. To address this, we propose a novel framework for collaborative security that combines adaptive security, collaborative adaptation and an explicit representation of the capabilities of the software components that may be needed in order to achieve collaborative security. We elaborate on each of these framework elements, focusing in particular on the challenges and opportunities afforded by (1) the ability to capture, represent, and reason about the capabilities of different software components and their operational context, and (2) the ability of components to be selected and mediated at runtime in order to satisfy the security requirements. We illustrate our vision through a collaborative robotic implementation, and suggest some areas for future work.