Automated testing of Web Services system based on OWL-S

Shafin, Shawkat Hasan; Zhang, Li; Xu, Xi

doi:10.1109/wict.2012.6409240

Cited by 4 publications

(3 citation statements)

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“…semantic languages allow describing functionalities of a micro service in a machine interpretable form using Semantic Web technologies [9,22,31,16,21]. The main purpose of semantic Web service technologies is to minimize the manual discovery and usage of Web services, by allowing software agents and applications to automatically discover, select, and invoke these Web resources to achieve the user needs.…”

Section: Differentmentioning

confidence: 99%

QoS-based Semantic Micro Services Discovery and Composition using ACO Algorithm

Essayah¹,

Youssfi²,

Bouattane³

et al. 2019

IJACSA

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In this paper, we present a new model of e-Learning platforms based on semantic micro services using discovery, selection and composition methods to generate learning paths. In this model, each semantic micro service represents an elementary educational resource that can be a course, an exercise, a tutorial or an evaluation implementing a precise learning path objective. The semantic micro services are described using ontologies and deployed in multi-instances in a cloud environment according to a load balancing and a fault tolerance system. Learners' requests are sent to a proxy micro service having learning paths abstract structures represented as an oriented graph. Proxy micro service analyses the request to define the learner profile and context in order to provide him with the semantic micro services responsible of the educational resources satisfying his functional and non-functional needs. In this model, to achieve an optimal learning path generation a two steps process is employed, where local optimization uses semantic discovery and selection based on a matchmaking algorithm and a quality of service measurement, and global optimization adopts an ant colony optimization algorithm to select the best resource combination. Our experimental results show that the proposed model can effectively returns optimized learning paths considering individual, collective and pedagogical factors.

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Section: Differentmentioning

confidence: 99%

QoS-based Semantic Micro Services Discovery and Composition using ACO Algorithm

Essayah¹,

Youssfi²,

Bouattane³

et al. 2019

IJACSA

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“…For assurance of quality of web services, the testing mechanism for reliability, compatibility, code maintainability, availability, complexity measures, effectiveness, vulnerability, efficiency and performance measures were discovered. In (Shafin et al, 2012) a Web Service Regression Testing Model (WSRTM) was presented. Many approaches are applicable for testing the reliability of web services (Eler et al, 2010).…”

Section: Related Workmentioning

confidence: 99%

“…Besides efficiency, the effectiveness of providing services is also important. Efficiency parameter is assured by many techniques (Masood et al, 2013;El Ioini and Sillitti et al, 2011;Shafin et al, 2012;Yan et al, 2012). Excepting (Yan et al, 2012) all mentioned techniques are suitable for compatibility.…”

Section: Related Workmentioning

confidence: 99%

Smart City Webgis Applications: Proof of Work Concept for High-Level Quality-of-Service Assurance

Noskov

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> In the frame of smart city initiatives, map-based web applications (WebGIS) are distinguished by the complexity of client-side implementation and high load on web servers. Web-map applications provide non-typical web content usually visualized by JavaScript code. For such applications, higher-level advanced approaches to quality of service (QoS) assessment are required. In this paper, a method based on the estimation of users’ interest in a web page and the information quantity provided by a web page is introduced. In order to implement it, a proof of work (PoW) concept is applied for verification of real users. Moreover, a novel metric is introduced to calculate the information quantity provided by web pages. PoW is used for verification of real users and distinguishing them from bots. Additionally, it can be utilized for balancing of web server load. For monitoring of web pages, an image-based approach is introduced. Web pages are rendered into raster images. A number of metrics describing an image are calculated. This approach allows users to compare and track various web pages, including rich web applications providing complex WebGL content. Several web services utilize the developed solutions. Analysis of harvested data proves the effectiveness of the proposed solution.</p>

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