Web Service Response Time Prediction Using HMM and Bayesian Network

Atluri, Vani Vathsala; Mohanty, Hrushikesha

doi:10.1007/978-81-322-2012-1_34

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…and . We can get MVU(a us4 ) = 3 + 0.478 × (18 − 9) × (3/9)/0.478 = 6 by formula (7). Because the actual value is 9, the prediction accuracy is .…”

Section: B the Densification Of User-item Matrixmentioning

confidence: 99%

“…They predict dynamic QoS of composite service by a probabilistic model and graph reduction algorithm. In addition, Markov model and Bayesian networks are used in the study of [7] for service modeling and response time prediction. However, these solutions are only suitable for QoS prediction of composite service but unsuitable for individual component service.…”

Section: Introductionmentioning

confidence: 99%

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Response Time Prediction of IoT Service Based on Time Similarity

Yang¹,

Zhang²

2017

Journal of Computing Science and Engineering

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In the field of Internet of Things (IoT), smarter embedded devices offer functions via web services. The Quality-of-Service (QoS) prediction is a key measure that guarantees successful IoT service applications. In this study, a collaborative filtering method is presented for predicting response time of IoT service due to time-awareness characteristics of IoT. First, a calculation method of service response time similarity between different users is proposed. Then, to improve prediction accuracy, initial similarity values are adjusted and similar neighbors are selected by a similarity threshold. Finally, via a densified user-item matrix, service response time is predicted by collaborative filtering for current active users. The presented method is validated by experiments on a real web service QoS dataset. Experimental results indicate that better prediction accuracy can be achieved with the presented method.

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“…and . We can get MVU(a us4 ) = 3 + 0.478 × (18 − 9) × (3/9)/0.478 = 6 by formula (7). Because the actual value is 9, the prediction accuracy is .…”

Section: B the Densification Of User-item Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Response Time Prediction of IoT Service Based on Time Similarity

Yang¹,

Zhang²

2017

Journal of Computing Science and Engineering

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show abstract

“…The metric for response time of web services is still a topic of concern for researchers. Various researchers use Hidden Markov Model (HMM), Knowledge Base and Bayesian Network for prediction of response time of web service components [25]. Response time can be estimated directly through observer agent services/applications which can log response time directly.…”

Section: Response Timementioning

confidence: 99%

Web Service Component Reusability Evaluation: A Fuzzy Multi-Criteria Approach

Singh¹,

Tomar²

2016

IJITCS

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Abstract-The service oriented architecture supports reusable components. Component reusability is one of the important features while designing web services for reuse. The reusability is an ideal and key factor to improve the quality and production rate of software. It becomes very helpful for quality assurance, if such quality parameters can be quantified. Non functional quality parameters like reusability are not easy to measure and quantify. This paper attempts to quantify reusability using fuzzy multi criteria approach. This approach is considered due to the unpredictable nature of reusability attributes. For the estimation of reusability, the paper identifies 5 key attributes of reusability i.e. Coupling, Interface Complexity, Security, Response Time and Statelessness in context of web service components.

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Time and Cost Aware Checkpointing of Choreographed Web Services

Atluri

Mohanty

2015

Distributed Computing and Internet Technology

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Web Service Response Time Prediction Using HMM and Bayesian Network

Cited by 5 publications

References 7 publications

Response Time Prediction of IoT Service Based on Time Similarity

Response Time Prediction of IoT Service Based on Time Similarity

Web Service Component Reusability Evaluation: A Fuzzy Multi-Criteria Approach

Time and Cost Aware Checkpointing of Choreographed Web Services

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