Modeling Parallel Execution Policies of Web Services

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Cloud Computing ◽

10.1007/978-3-319-38904-2_25 ◽

2016 ◽

pp. 244-254

Author(s):

Mai Xuan Trang ◽

Yohei Murakami ◽

Toru Ishida

Keyword(s):

Web Services ◽

Parallel Execution

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An approach for parallel execution of Web services

Proceedings. IEEE International Conference on Web Services, 2004. ◽

10.1109/icws.2004.1314831 ◽

2004 ◽

Cited By ~ 4

Author(s):

A. Kut ◽

D. Birant

Keyword(s):

Web Services ◽

Parallel Execution

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Parallel Execution of Data-intensive Web Services Based on Data-flow Constructs and I/O Operation Ratio

International Journal of Database Theory and Application ◽

10.14257/ijdta.2014.7.4.10 ◽

2014 ◽

Vol 7 (4) ◽

pp. 129-138 ◽

Cited By ~ 2

Author(s):

Dongjin Yu ◽

Qi Zhu ◽

Jianhua Shao ◽

Chang Li ◽

Youwei Yuan ◽

...

Keyword(s):

Web Services ◽

Data Flow ◽

Parallel Execution ◽

Data Intensive

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Effective User Preference Clustering in Web Service Applications

The Computer Journal ◽

10.1093/comjnl/bxz090 ◽

2019 ◽

Vol 63 (11) ◽

pp. 1633-1643

Author(s):

Yan Wang ◽

Jian-tao Zhou ◽

Xinyuan Li ◽

Xiaoyu Song

Keyword(s):

Web Services ◽

Service Providers ◽

Clustering Algorithms ◽

Parallel Execution ◽

User Preference ◽

Personalized Recommendation ◽

User Clustering ◽

Technology Applications ◽

Execution Model ◽

Affinity Propagation Algorithm

Abstract The research on personalized recommendation of Web services plays an important role in the field of Web services technology applications. Fortunately, not all users have completely different service preferences. Due to the same application scenarios and personal interests, some users have the same preferences for certain types of Web services. This paper explores the problem of user clustering in the service environment, grouping users according to their service preferences. It helps service providers to identify and characterize the preferences of similar users and provide them with customized services. We propose two combination-based clustering algorithms which make full use of the advantages of the K-means algorithm and the affinity propagation algorithm. In addition, a three-stage clustering process is elaborated to improve the accuracy of user clustering. To reduce the time complexity of the algorithms, we create a parallel execution model of the algorithms implemented by a higher-order MapReduce sequence linking technology. Extensive experiments on simulated datasets and real datasets are performed on the comparisons between the proposed algorithms and the other combination-based clustering algorithms. The experimental results substantiate that the proposed algorithms can effectively distinguish user group with different preferences.

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WS-Security on PRODML

ACMIT Proceedings ◽

10.33555/acmit.v1i1.16 ◽

2014 ◽

Vol 1 (1) ◽

pp. 9-34

Author(s):

Bobby Suryajaya

Keyword(s):

Web Services ◽

Digital Signature ◽

Data Transfer ◽

Web Services Security ◽

Soap Message ◽

Simulation Results ◽

End To End

SKK Migas plans to apply end-to-end security based on Web Services Security (WS-Security) for Sistem Operasi Terpadu (SOT). However, there are no prototype or simulation results that can support the plan that has already been communicated to many parties. This paper proposes an experiment that performs PRODML data transfer using WS-Security by altering the WSDL to include encryption and digital signature. The experiment utilizes SoapUI, and successfully loaded PRODML WSDL that had been altered with WSP-Policy based on X.509 to transfer a SOAP message.

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