Service Selection Based on Non-functional Properties

Reiff-Marganiec, Stephan; Yu, Hong Qing; Tilly, Marcel

doi:10.1007/978-3-540-93851-4_13

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…e outcome of the experiments showed that, out of seven selection samples, only one is likely to produce an optimal selection without the feedback mechanism with the calculated probability of 0.13. us, we can conclude that the use of the feedback mechanism section of the proposed system enhances better performance in users' satisfaction in comparison with existing works such as WsRF [45] and nonfeedback [47].…”

Section: Discussionmentioning

confidence: 61%

“…e results of various web services were computed as shown in Table 4. We compare our approach with the two other approaches used in the literature which are the web service ranking function approach [45] and nonfeedback outputs from [47]. e values of the data collected under each approach were expressed in Table 5 which are the normalized and ranked outputs.…”

Section: Feedback Mechanism On Real-life Scenariomentioning

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: Discussionmentioning

confidence: 61%

Section: Feedback Mechanism On Real-life Scenariomentioning

confidence: 99%

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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“…There are also several proposals to address service selection without the use of semantics. A modified logic scoring preference method of evaluating nonfunctional aspects is proposed in [10]. A framework supporting brokers in selecting web services based on the required QoS for autonomic grid environments is proposed in [11].…”

Section: Related Work and Discussionmentioning

confidence: 99%

LASS – License Aware Service Selection: Methodology and Framework

Gangadharan

Comerio

Truong

et al. 2008

Lecture Notes in Computer Science

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Abstract.A service provider defines individual services with corresponding service licenses which consumers should follow. Often, service consumers are interested in selecting a service based on certain licensing clauses. For a set of requested licensing clauses by a consumer, there can be several licenses that differ in the set of offered license specifications. Thus, a license aware service selection process includes the discovery of a set of services that meets certain functional parameters and, in addition, the process evaluates these services in order to identify the ones that fulfill a set of license specifications as requested by a consumer. In this paper, we present a methodology and framework for service selection process, based on matching the offered licensing specifications by providers with the requested licensing specifications by consumers 1 .

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“…Most of the related work on using non-functional properties for service selection concentrates on defining QoS (Quality of Service) ontology languages and vocabularies and identification of various QoS metrics and their measurements with respect to semantic services. In [7] QoS ontology models are defined while [8] separates different nonfunctional criteria into different service categories. This is more sensible than ranking all kinds of services by using the same predefined criteria and hence not considering the different attributes that occur with specific services.…”

Section: Related Workmentioning

confidence: 99%

Matching customer requests to service offerings in real-time

Tilly

Reiff-Marganiec

2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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Classic request-response Service-oriented architecture (SOA) has reached a level of maturity where SOA inspired extensions are enabling new and creative domains like the Internet of Things, real-time business or real-time Web. These new domains impose new requirements on SOA, such as a huge data volume, meditation between various data structures and a large number of sources that need to be procured, processed and provided with almost zero latency. Service selection is one of the areas where decisions have to be made based consumer requests and service offerings. Processing this data requires typical SOA behavior combined with more elaborate approaches to process large amounts of data with near-zero latency. The approach presented in this paper combines pub-sub approaches for processing service offerings and mediations with classical request-response SOA approaches for consumer requests facilitated by Complex Event Processing (CEP). This paper presents a novel approach for subscribing to dynamic service properties and receiving up-todate information in real-time. Therefore, we are able to select services with zero latency since there is no need to pull for property values anymore. The paper shows how to map requests to streaming data, how to process and answer complex requests with low latency and how to enable real-time service selection.

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Service Selection Based on Non-functional Properties

Cited by 38 publications

References 10 publications

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

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

LASS – License Aware Service Selection: Methodology and Framework

Matching customer requests to service offerings in real-time

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