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
相关论文
共 50 条
  • [21] Probabilistic Prediction of the QoS of Service Orchestrations: A Truly Compositional Approach
    Bartoloni, Leonardo
    Brogi, Antonio
    Ibrahim, Ahmad
    SERVICE-ORIENTED COMPUTING, ICSOC 2014, 2014, 8831 : 378 - 385
  • [22] Towards Abstraction-based Probabilistic Program Analysis
    Szekeres, Daniel
    Majzik, Istvan
    ACTA CYBERNETICA, 2024, 26 (03): : 671 - 711
  • [23] Analysis of Probabilistic Preemption-based Mechanism for QoS Provision in OBS Networks
    Orawiwattanakul, Tananun
    Ji, Yusheng
    ICOIN: 2009 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, 2009, : 256 - 259
  • [24] A Probabilistic Fragment-Based Protein Structure Prediction Algorithm
    Simoncini, David
    Berenger, Francois
    Shrestha, Rojan
    Zhang, Kam Y. J.
    PLOS ONE, 2012, 7 (07):
  • [25] Local probabilistic models for link prediction
    Wang, Chao
    Satuluri, Venu
    Parthasarathy, Srinivasan
    ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2007, : 322 - 331
  • [26] Probabilistic approach in life prediction models
    Desquines, J
    Brethes, B
    Obadia, S
    Mosset, S
    Bassot, A
    Krafft, R
    JOURNAL DE PHYSIQUE IV, 2000, 10 (P4): : 187 - 192
  • [27] Approaches of structure exploratory based on probabilistic models in massive networks
    Yu, Jian, 1600, Chinese Academy of Sciences (25):
  • [28] Probabilistic top-K dominating services composition with uncertain QoS
    Wen, Shiting
    Tang, Chaogang
    Li, Qing
    Chiu, Dickson K. W.
    Liu, An
    Han, Xianglan
    SERVICE ORIENTED COMPUTING AND APPLICATIONS, 2014, 8 (01) : 91 - 103
  • [29] A parallel refined probabilistic approach for QoS-aware service composition
    Wang, Hongbing
    Peng, Shunshun
    Yu, Qi
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 98 : 609 - 626
  • [30] HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows
    Zhou, Fan
    Wang, Zhiyuan
    Zhong, Ting
    Trajcevski, Goce
    Khokhar, Ashfaq
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (10) : 6833 - 6856
12345