Title
Weighted Bayesian Runtime Monitor: A Novel Qos Monitoring Approach Sensitive To Environmental Factors
Abstract
How to assure Quality of Service (QoS) of the third-party services is very important for the SOA. Effective monitoring technique towards QoS, which is an important measurement for third-party service quality, is necessary to ensure quality of Web service. Current monitoring approaches do not consider the influences of environment factors such as the position of server, user usage, and the load at runtime. Ignoring these influences, which do exist among the monitoring process, may cause existing monitoring approaches producing unpredictable monitoring results. In order to overcome this limitation, this paper proposes a novel Web Service QoS (WS-Qos) monitoring approach sensitive to environmental factors called weighted Bayesian Runtime Monitor (wBSRM) based on weighted naive Bayesian classifiers and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm. wBSRM constructs weighted naive Bayesian classifier by learning a part of samples to classify the monitoring results. The results meeting QoS standard are classified as c(0) and the one that does not meet is classified as c(1). Classifier can also output ratio between posterior probability of c(0) and c(1), and consequently the analysis can lead to three monitoring results including c(0), c(1) or inconclusive. A set of dedicated experiments are conducted to validate wBSRM. The experiments are based on a public dataset and a simulated dataset under the given standard. The experimental results demonstrate that wBSRM is better than previous approaches.
Year
DOI
Venue
2018
10.1142/S0218194018500389
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Keywords
Field
DocType
Quality of service, TF-IDF algorithm, weighted naive Bayesian classifiers, monitor
Data mining,Computer science,Quality of service,Bayesian probability
Journal
Volume
Issue
ISSN
28
9
0218-1940
Citations 
PageRank 
References 
0
0.34
8
Authors
6
Name
Order
Citations
PageRank
Pengcheng Zhang1248.52
Huiying Jin2192.98
Yuan Zhuang365.84
Hareton Leung498265.63
Wei Song5519.86
Yu Zhou600.34