scholarly journals Analysis of Software Aging in a Web Server

2006 ◽  
Vol 55 (3) ◽  
pp. 411-420 ◽  
Author(s):  
M. Grottke ◽  
L. Li ◽  
K. Vaidyanathan ◽  
K.S. Trivedi
Keyword(s):  
Web Server ◽  
Software Aging

Software Aging Forecast Using Recurrent SOM with Local Model

2020 ◽  
Vol 13 (1) ◽  
pp. 30-43
Author(s):  
Yongquan Yan
Keyword(s):  
Dimensional Space ◽  
Moving Average ◽  
Web Server ◽  
Prediction Method ◽  
Resource Consumption ◽  
Self Organizing Map ◽  
Autoregressive Integrated Moving Average ◽  
Software Aging ◽  
Space Vectors ◽  
Self Organizing

Studies of software aging problems are important since they are related to QoS. Previous studies have used many methods to guarantee QoS. In this article, a recurrent self-organizing map with multi-layerperceptron is proposed to forecast resource consumption in a web server which suffered from a software aging problem. First, a resource consumption series in a web server is split into p dimensional space vectors. Second, the split series is clustered into local sets by using a recurrent self-organizing map. Last, a local prediction method called multi-layerperceptron is used to predict on each local set. The results indicated that the recurrent self-organizing map with multi-layerperceptron generates a slightly better estimation than multi-layerperceptron and autoregressive integrated moving average in the resource consumption predictions of system and application level of web server.

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