An interval-based fuzzy ranking approach for QoS uncertainty-aware service composition

Jian, Xing; Zhu, Qingsheng; Xia, Yunni

doi:10.1016/j.ijleo.2015.10.156

Cited by 24 publications

(8 citation statements)

References 14 publications

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“…2) The bounded or interval-based QoS can be helpful in dealing with high SLA violation rates. For example, Jian et al [25] consider QoS intervals and develop evaluation method in terms of profit and stability of QoS in a fuzzy way. Their work demonstrates the advantages of interval-based QoS-aware service composition over the traditional ones.…”

Section: Related Workmentioning

confidence: 99%

“…According to the discussion in the RELATED WORK part, we compare our proposed method with traditional ones, namely a static-QoS method [44], bounded-QoS methods [25], [26], statistic-QoS methods [27]- [31], PSO methods [23], [45], and ESN-based method [32]. Note that we implement an ARIMA+PSO compostion method by replacing the GA optimization part of our proposed method with the PSO one.…”

Section: Case Studymentioning

confidence: 99%

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Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service

et al. 2020

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Service composition is a technology capable of combing a collection of existing services where many smaller services are coordinated together to form a larger one. Functionally similar services can often show different quality-of-service (QoS) properties. For a specific service composition request, how to choose from a bag of suitable services that fulfill the required functions under given quality-ofservice constraints is widely believed to be a great challenge. The traditional approach usually tackles this problem by assuming fixed, bounded, or statistic QoS and views the decision-making of service composition as a static process. Instead, we address this problem by considering time-varying and fluctuating QoS and presenting a predictive-trend-aware service composition method by using a time series prediction model and genetic algorithms. We conduct extensive case studies based on multiple randomly-generated service templates with varying process configurations and show that our method outperforms existing ones. INDEX TERMS Time series, Quality-of-Service (QoS), service composition, genetic algorithm (GA).

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Section: Related Workmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service

et al. 2020

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“…Jian et al expressed the issue that quality parameter values of web services cannot constantly have a precise value, but for every execution, value changes in a range. Therefore, instead of a single value, they presented a range for them.…”

Section: Previous Researchesmentioning

confidence: 99%

A pessimistic method in web service composition by view on execution states

Alizadeh

2019

Int J Communication

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Summary The application of web services in implementing enterprise workflows has recently been prevalent. In this regard, one of the important challenges is to create web service compositions that satisfy quality properties. One of the properties is rollback cost that it must be paid for resolving effects of a web service that its execution is completed. In the previous methods, a web service was evaluated based on whether failure or successful execution state and other two states (in the middle of execution and waiting for execution) were neglected. By considering these two states, it is possible to prevent imposition in a web service rollback cost or reduce it if needed to finally provide the possibility to decrease a web service average rollback cost. Two mentioned states are related to execution time, and it is clear that the proposed solution should be related to execution time. According to implemented tests, the method not only reduces rollback cost but also causes the execution time to reduce. The reduction in execution time parameter is due to necessary waiting for a web service completion before providing the ability to rollback it in conventional methods, but in the method, it is possible to rollback web service before execution completion and waiting for completion is not mandatory.

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“…Then, it found the optimal composite service by mixed integer programming. After that, Jian et al (2016) proposed a novel QoS interval model, which evaluate profit and stability in a fuzzy way. Sun et al (2014) proposed a method using information theory and variance theory to abandon high QoS uncertainty services and downsize the solution spaces, and then selected the best reliable composite service by 0-1 integer programming.…”

Section: Related Workmentioning

confidence: 99%

Towards the optimality of QoS-aware web service composition with uncertainty

Niu

Zou

Gan

et al. 2019

IJWGS

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Quality of service (QoS)-aware web service composition (QWSC) has recently become one of the most challenging research issues. Although much work has been investigated, they mainly focus on certain QoS of web services, while QoS with uncertainty exposes the most important characteristic in real and highly dynamic environment. In this paper, with the consideration of uncertain service QoS and user's preferences, we model the issue of uncertain QoS-aware WSC via interval number and translate it into a multi-objective optimisation problem with global QoS constraints of user's preferences. The encoded optimisation problem

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An interval-based fuzzy ranking approach for QoS uncertainty-aware service composition

Cited by 24 publications

References 14 publications

Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service

Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service

A pessimistic method in web service composition by view on execution states

Towards the optimality of QoS-aware web service composition with uncertainty

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