Towards QoS Prediction Based on Composition Structure Analysis and Probabilistic Models

被引：0
|
作者：
Ivanovic, Dragan [1 ]
Carro, Manuel [1 ,2 ]
Kaowichakorn, Peerachai [2 ]
机构：
[1] IMDEA Software Inst, Madrid, Spain
[2] Politecnica Madrid UPM, Sch Comp Sci, Madrid, Spain
来源：
SERVICE-ORIENTED COMPUTING, ICSOC 2014 | 2014年 / 8831卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The quality of service (QoS) of complex software systems, built by composing many components, is essential to determine their usability. Since the QoS of each component usually has some degree of uncertainty, the QoS of the composite system also exhibits stochastic behavior. We propose to compute probability distributions of the QoS of a service composition using its structure and the probability distributions of the QoS of the components. We experimentally evaluate our approach on services deployed in a real setting using a tool to predict probability distributions for the composition QoS and comparing them with those obtained from actual executions.
引用
收藏
页码：394 / 402
页数：9
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