A Visualization Framework for Web Service Discovery and Selection Based on Quality of Service

Pinyapong, Sineenard; Hirano, Shoji; Kato, Toshikazu

doi:10.1109/apscc.2007.52

Cited by 4 publications

(1 citation statement)

References 7 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the framework has not been studied for its performance nor has it been studied in detail for parameters of QoS. Chua’s framework [ 29 ] performs service discovery based on the QoS attributes in a visual context. The framework uses QoS criteria along with the graphical user interface (GUI) pattern to model the user request in a visual context to discover services by taking into account the user priorities.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

Zeshan

Awada

Abdel‐Aty

et al. 2020

Sensors

View full text Add to dashboard Cite

Distributed systems provide smart functionality to everyday objects with the help of wireless sensors using the internet. Since the last decade, the industry is struggling to develop efficient and intelligent protocols to integrate a huge number of smart objects in distributed computing environments. However, the main challenge for smart and distributed system designers lies in the integration of a large number of heterogeneous components for faster, cheaper, and more efficient functionalities. To deal with this issue, practitioners are using edge computing along with server and desktop technology for the development of smart applications by using Service-Oriented Architecture (SOA) where every smart object offers its functionality as a service, enabling other objects to interact with them dynamically. In order to make such a system, researchers have considered context-awareness and Quality of Service (QoS) attributes of device services. However, context modeling is a complicated task since it could include everything around the applications. Moreover, it is also important to consider non-functional interactions that may have an impact on the behavior of the complete system. In this regard, various research dimensions are explored. However, rich context-aware modeling, QoS, user priorities, grouping, and value type direction along with uncertainty are not considered properly while modeling of incomplete or partial domain knowledge during ontology engineering, resulting in low accuracy of results. In this paper, we present a semantic and logic-based formal framework (hybrid) to find the best service among many candidate services by considering the limitations of existing frameworks. Experimental results of the proposed framework show the improvement of the discovered results.

show abstract

Section: Related Workmentioning

confidence: 99%

A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

Zeshan

Awada

Abdel‐Aty

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

Visualization of Real-World Web Services Based on Fuzzy Logic

Almulla

Yahyaoui

Almatori

2012

2012 IEEE Eighth World Congress on Services

View full text Add to dashboard Cite

This paper investigates techniques for supporting individual users in choosing appropriate Web services according to their specific needs, and accessing their favorite Web services. It also examines the provision of visualization of Web services that can be made available to service consumers as well as service providers who promote their Web services. To achieve these goals, we propose a three-layer architecture: a data layer for handling measurements of quality attribute of Web services; a Web service middleware processing layer, which computes quality attribute weights for ranking Web services; and finally, a visualization layer for monitoring the quality of Web services. The proposed architecture is implemented and tested on real world Web services drawn from the QWS database of Web services. Our Web services visualization technique is more convenient and user-friendly compared to current basic text based Web services discovery techniques.

show abstract

Service Discovery Framework for Distributed Embedded Real-Time Systems

Zeshan

Mohamad

Ahmad

2014

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

Embedded systems are supporting the trend of moving away from centralised, high-cost products towards low-cost and high-volume products; yet, the non-functional constraints and the device heterogeneity can lead to system complexity. In this regard, Service-Oriented Architecture (SOA) is the best methodology for developing a loosely coupled, dynamic, flexible, distributed, and cost-effective application. SOA relies heavily on services, and the Semantic Web, as the advanced form of the Web, handles the application complexity and heterogeneity with the help of ontology. With an ever-increasing number of similar Web services in UDDI, a functional description of Web services is not sufficient for the discovery process. It is also difficult to rank the similar services based on their functionality. Therefore, the Quality of Service (QoS) description of Web services plays an important role in ranking services within many similar functional services. Context-awareness has been widely studied in embedded and real-time systems and can also play an important role in service ranking as an additional set of criteria. In addition, it can enhance human-computer interaction with the help of ontologies in distributed and heterogeneous environments. In order to address the issues involved in ranking similar services based on the QoS and context-awareness, the authors propose a service discovery framework for distributed embedded real-time systems in this chapter. The proposed framework considers user priorities, QoS, and the context-awareness to enable the user to select the best service among many functional similar services.

show abstract

A Visualization Framework for Web Service Discovery and Selection Based on Quality of Service

Cited by 4 publications

References 7 publications

A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

Visualization of Real-World Web Services Based on Fuzzy Logic

Service Discovery Framework for Distributed Embedded Real-Time Systems

Contact Info

Product

Resources

About