WiP: Behavior-based Service Change Detection

被引：1

作者：

Jahl, Alexander ^{[1
]}

Huu Tam Tran ^{[1
]}

Baraki, Harun ^{[1
]}

Geihs, Kurt ^{[1
]}

机构：

[1] Univ Kassel, Distributed Syst Grp, Kassel, Germany

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2018) | 2018年

关键词：

Service Evolution; Change Detection; Machine Learning; Anomaly Detection;

D O I：

10.1109/SMARTCOMP.2018.00053

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Detecting changes in service interfaces during the application life-cycle is essential for both change analysis and change management. Current approaches focus on structural and semantic changes without considering the actual behavior of a service by inspecting input and output values. This can lead to a selection of unsuitable services during an autonomous service replacement. Although a semantic and structural matching could be successful, the behavior of the selected service could deviate from the replaced service significantly. In this work, we present an architecture that captures and assesses additionally the behavior dimension of services to provide more reliable service replacements.

引用

页码：267 / 269

页数：3

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