SeCSE—Service-centric System Engineering: An Overview

Penta, Massimiliano Di; Bastida, Leire; Sillitti, Alberto; Baresi, Luciano; Maiden, Neil; Melideo, Matteo; Tilly, Marcel; Spanoudakis, George; Cruz, Jesus Gorronogoitia; Hutchinson, John; Ripa, Gianluca

doi:10.7551/mitpress/7959.003.0012

Cited by 2 publications

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An Open Source Monitoring Framework for Enterprise SOA

Ioini

Garibbo

Sillitti

et al. 2013

Open Source Software: Quality Verification

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Web services monitoring is currently emerging as an effective way to trace faults in services at runtime. The lack of testing information provided by web services specifications was an indication that other methods need to be used to assess the quality of web services. This is mainly due to the fact that it is difficult to simulate the client infrastructure during testing of web services. Monitoring consists of inspecting services at runtime and taking adequate actions when unacceptable events occur. Monitoring could be performed by different stakeholders and could target different properties of services. Predominantly, monitoring is performed by service providers to manage their internal resources and balance their requests load. In our effort to improve the monitoring infrastructures, we propose a monitoring framework in which all the participants (services providers, services requestors) can contribute to monitoring and at the same time have direct access to the monitoring data. This paper describes a monitoring framework developed as part of NEXOF-RA 1 project. The framework offers a set of capabilities for a collaborative monitoring of web services. The paper presents motivations, system design, implementation and usage of the framework.

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An Open Source Monitoring Framework for Enterprise SOA

Ioini

Garibbo

Sillitti

et al. 2013

Open Source Software: Quality Verification

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Domain Priori Knowledge based Integrated Solution Design for Internet of Services

Wang

et al. 2020

2020 IEEE International Conference on Services Computing (SCC)

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Various types of services, such as web APIs, IoT services, O2O services, and many others, have flooded on the Internet. Interconnections among these services have resulted in a new phenomenon called "Internet of Services" (IoS). By IoS, people don't need to request multiple services by themselves to fulfill their daily requirements, but it is an IoS platform that is responsible for constructing integrated solutions for them. Since user requirements (URs) are usually coarse-grained and transboundary, IoS platforms have to integrate services from multiple domains to fulfill the requirements. Considering there are too many available services in IoS, a big challenge is how to look for a tradeoff between the construction efficiency and the precision of final solutions. For this challenge, we introduce a framework and a platform for transboundary user requirement oriented solution design in IoS. The main idea is to make use of domain priori knowledge derived from the commonness and similarities among massive historical URs and among historical integrated service solutions(ISSs). Priori knowledge is classified into three types: requirement patterns (RPs), service patterns (SPs), and probabilistic matching matrix (PMM) between RPs and SPs. A UR is modeled in the form of an intention tree (I-Tree) along with a set of constraints on intention nodes, and then optimal RPs are selected to cover the I-Tree as much as possible. By taking advantage of the PMM, a set of SPs are filtered out and composed together to form the final ISS. Finally, the design of a platform supporting the above process is introduced.

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SeCSE—Service-centric System Engineering: An Overview

Cited by 2 publications

References 0 publications

An Open Source Monitoring Framework for Enterprise SOA

An Open Source Monitoring Framework for Enterprise SOA

Domain Priori Knowledge based Integrated Solution Design for Internet of Services

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