Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

He, Qiang; Yan, Jun; Jin, Hai; Yang, Yun

doi:10.1109/tse.2013.2297911

Cited by 98 publications

(55 citation statements)

References 48 publications

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“…The result of the current study supported many other studies conducted in both the Muslim (Eid, 2015;Eid & El-Gohary, 2015) and non-Muslim research context (Gallarza & Saura, 2006;He, Yan, Jin, & Yang, 2014). The quality value plays an important role in tourist satisfaction because value is considered the starting point in the formation of attitudes for consumers (tourists) who travel (He et al, 2014).…”

Section: Discussionsupporting

confidence: 89%

Understanding Muslim Customer Satisfaction with Halal Destinations: The Effects of Traditional and Islamic Values

Putra¹,

Hati²,

Daryanti³

2016

European Proceedings of Social &Amp; Behavioural Sciences

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Only limited research has examined the role of religion in a tourism context. This study examines the moderating role of religion in the relationships between value and customer satisfaction. This paper poses the question: Does religiosity moderate the relationships among traditional value, Islamic value and customer satisfaction with the halal destination? The study aims to test empirically the effect of traditional value and Islamic religious value on customers' satisfaction with a halal destination. Moreover, the study also analyses the moderating role of religiosity in the relationship between Islamic value and customers' satisfaction with a halal destination. A total of 295 questionnaires consisting of 40 items was distributed to Muslim tourists on-line through survey sites and offline at Lombok Island. Lombok was employed because it was chosen as the Best Halal Tourist Destination and the Best Halal Honeymoon Destination during the World Halal Travel Awards 2015 held in Abu Dhabi. The direct relationships and moderation effects of religiosity were assessed using structural equation modeling with AMOS 18.0. The results clearly indicated that it is only traditional value which significantly and directly influences customers' satisfaction with a halal destination while Islamic value has no significant influence on customers' satisfaction. Islamic value, specifically non-physical Islamic attributes, significantly influences customers' satisfaction only under the moderation of religiosity. Thus, destination marketers should deliver highly traditional value to create high customer satisfaction with halal destinations. Marketers should also consider non-physical Islamic attributes such as segregation of service delivery when they target consumers with high religiosity to attract more Muslim tourists.

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Section: Discussionsupporting

confidence: 89%

Understanding Muslim Customer Satisfaction with Halal Destinations: The Effects of Traditional and Islamic Values

Putra¹,

Hati²,

Daryanti³

2016

European Proceedings of Social &Amp; Behavioural Sciences

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“…An iterative negotiation approach for a service composition was presented in [5]. The aim of the approach was to select services for the service-based systems in the scenarios where the QoS constraints were severe.…”

Section: Related Workmentioning

confidence: 99%

“…To obtain a viable business model for composite services, the dynamic service price-setting models are increasingly negotiation-based [1]- [5]. Meanwhile, the rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services.…”

Section: Introductionmentioning

confidence: 99%

Multi-Phase Ant Colony System for Multi-Party Data-Intensive Service Provision

Wang

Shen

2016

IEEE Trans. Serv. Comput.

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The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Twostage negotiation procedures are used in our data-intensive service provision model, which will provide effective and efficient service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony system is applied to select services with the best or near-optimal utility outputs. In order to adapt the ant colony system to handle the dynamic scenarios during negotiations, we also discuss several strategies for modifying the pheromone information in the first place. The experimental results show that our negotiation-based approach can facilitate the data-intensive service provision with better outcome. University of Wollongong, NSW, Australia E-mail: lw840@uowmail.edu.au, jshen@uow.edu.au ! Abstract-The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Two-stage negotiation procedures are used in our data-intensive service provision model, which will provide effective and efficient service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony system is applied to select services with the best or near-optimal utility outputs. In order to adapt the ant colony system to handle the dynamic scenarios during negotiations, we also discuss several strategies for modifying the pheromone information in the first place. The experimental results show that our negotiation-based approach can facilitate the data-intensive service provision with better outcome.

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“…The service requester decides a set of local QoS requirements for the tasks while ensuring that the satisfaction of the local QoS requirements guarantees the 3 q = (1.0,5.0). We can compute the aggregated QoS by using the aggregation functions introduced in [11]. If satisfying the local QoS requirements, the overall response time is less than or equal to 0.5+0.3+ 1.0 =1.8<2.5 (seconds) and the overall throughput is greater than or equal to as , and then denote the constraint that guarantees the satisfaction of the global QoS requirement as…”

Section: Game-theoretic Qos-aware Service Selectionmentioning

confidence: 99%

“…However, these approaches do not consider that there may not exist a solution to meet global QoS requirements based on the receiving bids. To reduce the potentially large search space, He et al [11] propose an approach to filter out uncompetitive bids using historical usage experiences. These approaches use first-price auction to select service provider, where the service provider with the lowest price would be selected.…”

Section: Related Workmentioning

confidence: 99%

Predicting Service Price for Game-Theoretic Qos-Aware Service Selection

Wang¹,

Anup²,

Munindar³

2016

STSC

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In QoS-aware service selection, a service requester seeks to maximize his utility by selecting service providers that charges the lowest service prices while meeting the requester's global QoS requirements. In existing selection approaches, a service requester focuses on finding providers based on their QoS and thereby ignores their service prices that could change with their QoS. High QoS may provide more benefits, but may require a high service price. As a result, the highest QoS may not produce the maximum utility. A service requester and service providers have a conflicting interest over service prices. We model the process of QoS-aware service selection as a price competition game. In the case where the providers' minimum prices are public knowledge, we propose an approach to compute a ε-Nash equilibrium that maximizes the service requester's utility. However, in general, a service provider would not reveal its minimum acceptable price. Thus, it is important for a service requester to predict the minimum price for a service that meets its QoS requirements. We propose a collaborative approach to predicting a provider's minimum price for a desired QoS based on prior usage experiences. Based on the prediction results of the service providers' minimum prices, we propose a multi-round mechanism where the service requester chooses a service for each task by using a Vickrey auction with reserve price. The experimental results show our approach can find the optimal service providers efficiently and effectively.

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Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

Cited by 98 publications

References 48 publications

Understanding Muslim Customer Satisfaction with Halal Destinations: The Effects of Traditional and Islamic Values

Understanding Muslim Customer Satisfaction with Halal Destinations: The Effects of Traditional and Islamic Values

Multi-Phase Ant Colony System for Multi-Party Data-Intensive Service Provision

Predicting Service Price for Game-Theoretic Qos-Aware Service Selection

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