QoS-Aware Cloud Service Composition Using Time Series

被引:0
作者
Ye, Zhen [1 ]
Bouguettaya, Athman [2 ]
Zhou, Xiaofang [1 ]
机构
[1] Univ Queensland, Brisbane, Qld 4072, Australia
[2] RMIT Univ, Melbourne, Vic, Australia
来源
SERVICE-ORIENTED COMPUTING, ICSOC 2013 | 2013年 / 8274卷
关键词
WEB;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cloud service composition is usually long term based and economically driven. We propose to use multi-dimensional Time Series to represent the economic models during composition. Cloud service composition problem is then modeled as a similarity search problem. Next, a novel correlation-based search algorithm is proposed. Finally, experiments and their results are presented to show the performance of the proposed composition approach.
引用
收藏
页码:9 / 22
页数:14
相关论文
共 46 条
  • [31] An Economic Model for Cloud Service Composition Based on User's Preferences
    Hassan, Hala
    El-Desoky, Ali
    Ibrahim, Abdelhameed
    2017 13TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO), 2017, : 195 - 201
  • [32] Cost and Accuracy Aware Scientific Workflow Composition for Service-Oriented Environments
    Chiu, David
    Agrawal, Gagan
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2013, 6 (04) : 470 - 483
  • [33] Cloud service QoS prediction via exploiting collaborative filtering and location-based data smoothing
    Tang, Mingdong
    Zhang, Tingting
    Liu, Jianxun
    Chen, Jinjun
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (18) : 5826 - 5839
  • [34] Automated synthesis of local time requirement for service composition
    Andre, Etienne
    Tan, Tian Huat
    Chen, Manman
    Liu, Shuang
    Sun, Jun
    Liu, Yang
    Dong, Jin Song
    SOFTWARE AND SYSTEMS MODELING, 2020, 19 (04) : 983 - 1013
  • [35] Time-Aware Service Ranking Prediction in the Internet of Things Environment
    Huang, Yuze
    Huang, Jiwei
    Cheng, Bo
    He, Shuqing
    Chen, Junliang
    SENSORS, 2017, 17 (05)
  • [36] A context-aware recommendation-based system for service composition in smart environments
    Faieq, Soufiane
    Front, Agnes
    Saidi, Rajaa
    El Ghazi, Hamid
    Rahmani, Moulay Driss
    SERVICE ORIENTED COMPUTING AND APPLICATIONS, 2019, 13 (04) : 341 - 355
  • [37] A Discrete Adaptive Lion Optimization Algorithm for QoS-Driven IoT Service Composition with Global Constraints
    Ouhadda, Souhila Ait Hacene
    Sadouki, Samia Chibani
    Achroufene, Achour
    Tari, Abdelkamel
    JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2024, 32 (02)
  • [38] Automatic Service Composition Using POMDP and Provenance Data
    Naseri, Mahsa
    Ludwig, Simone A.
    2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), 2013, : 246 - 253
  • [39] A fog-based fault-tolerant and QoE-aware service composition in smart cities
    Hosseini Bidi, Arshia
    Movahedi, Zahra
    Movahedi, Zeinab
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2021, 32 (11):
  • [40] SAaaS: a cloud computing service model using semantic-based agent
    Hsu, I-Ching
    Cheng, Feng-Qi
    EXPERT SYSTEMS, 2015, 32 (01) : 77 - 93