A quality of service aware multi-level strategy for selection of optimal web service

Akingbesote, Alaba Olu; Adigun, Matthew O.; Oladosu, John B.; Jembere, Edgar

doi:10.1109/icastech.2013.6707518

Cited by 7 publications

(12 citation statements)

References 6 publications

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“…However, this work was silent about the situation where web service attains similar computation aggregates (otherwise called selection ties) thereby leaving behind gap to fill. Furthermore, the study conducted by Akingbesote and others [18] proposed a quality of service aware Multilevel Ranking Model (MLRANK) for selecting an optimal web service in cloud computing. e study addressed the occurrence of ties within a number of services that are available in the UDDI.…”

Section: Service Selection Methodologiesmentioning

confidence: 99%

“…(2) e approach must address the dynamic nature of the mobile environment, and (3). the approach should eradicate the arbitrary selection of mobile nodes and web services during the occurrence of service selection ties which is a major challenge in service provisioning in the AMC environment [18,33].…”

Section: Amc Service Selection Approachesmentioning

confidence: 99%

“…Several works have been done which ranges from GUI-SET's implementation [18][19][20] to its performance evaluation [17,21,22] and security [15,16,23] as well as the Pricing strategy to be used on the platform [14]. However, little research has been conducted in relation to providing an optimally satisfactory service especially in the newly integrated ad hoc model system.…”

Section: Introductionmentioning

confidence: 99%

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Approaches to Addressing Service Selection Ties in Ad Hoc Mobile Cloud Computing

Akinola

Adigun

2018

Journal of Computer Networks and Communications

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e ad hoc mobile cloud (AMC) allows mobile devices to connect together through a wireless connection or any other means and send a request for web services from one to another within the mobile cloud. However, one of the major challenges in the AMC is the occurrence of dissatisfaction experienced by the users. is is because there are many services with similar functionalities but varying nonfunctional properties. Moreover, another resultant cause of user dissatisfaction being coupled with runtime redundancy is the attainment of similar quality computations during service selection, often referred to as "service selection ties." In an attempt to address this challenge, service selection mechanisms for the AMC were developed in this work.is includes the use of selected quality of service properties coupled with user feedback data to determine the most suitable service. ese mechanisms were evaluated using the experimental method.e evaluation of the mechanisms mainly focused on the metrics that evaluate the satisfaction of users' interest via the quantitative evaluation. e experiments affirmed that the use of the shortest distance can help to break selection ties between potential servicing nodes. Also, a continuous use of updated and unlimited range of users' assessments enhances an optimal service selection.

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Section: Service Selection Methodologiesmentioning

confidence: 99%

Section: Amc Service Selection Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Approaches to Addressing Service Selection Ties in Ad Hoc Mobile Cloud Computing

Akinola

Adigun

2018

Journal of Computer Networks and Communications

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“…In [3] Author proposes a multi-level strategy for selection of optimal web services for Utility-Infrastructure providers. For Selection of optimal web service user's preference is compared with service quality.…”

Section: Web Service Selection and Ranking Approachesmentioning

confidence: 99%

“…In parameter weighting user give weight to nonfunctional parameter between different ranges. In [3] User gives weight between 0 and 1. Web services are rank according to weight given by user.…”

Section: Parameter Weightingmentioning

confidence: 99%

A survey on Web Service Selection and Ranking Methods

Kayastha¹,

Baria²

2015

IJCA

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Now day's web service is getting more and more popularity because of its characteristic like loosely coupled, composable, reusable, platform independent etc... Due to this popularity web services are developed with similar functionality. When user search web service in directory, Directory retrieve many web service with similar functionality. Web service recommendation only base on functionality matching is not good approach. In this situation web services are recommend base on QoS. QoS is considering as secondary approach for service selection. QoS consider different Non function properties of web service like response time, reliability, availability etc... This paper conduct a survey on different web service Selection and Ranking process.

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