An effective mechanism for ontology-based cloud service discovery and selection using Aneka cloud application platform

被引:0
|
作者
Parhi M. [1 ]
Pattanayak B.K. [1 ]
机构
[1] Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Odisha, Bhubaneswar
关键词
Aneka; cloud computing; cloud ontology; cloud service discovery and selection; PaaS; platform as a service; QoS; quality of service;
D O I
10.1504/IJCC.2023.130902
中图分类号
学科分类号
摘要
Now-a-days cloud computing is growing exponentially and the preference to cloud services is increasing day by day due to their cost saving benefits. These services mostly seem to be significantly identical in their functionality except their key attributes like storage, computational power, price etc. Till now there is no uniform specification for defining a service in cloud domain. In order to specify the identical operations and publish the services on the websites, different cloud service providers tend to use completely different vocabulary. The process of requesting for a cloud service becomes merely challenging task. Hence, a reasoning mechanism is immensely essential for service discovery that could resolve the resemblance appearing across different services by inferring with the respective cloud ontology. In this paper, an effective mechanism has been proposed using ontology for most relevant cloud service discovery and selection using a distributed cloud application platform called Aneka PaaS. Copyright © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:261 / 276
页数:15
相关论文
共 50 条
  • [41] Ontology-based code snippets management in a cloud environment
    Jianjun Shi
    Weixing Ji
    Zhiwei Gao
    Yujin Gao
    Yizhuo Wang
    Xinyi Liao
    Feng Shi
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 2971 - 2985
  • [42] Cloud services description ontology used for service selection
    Hajer Nabli
    Raoudha Ben Djemaa
    Ikram Amous Ben Amor
    [J]. Service Oriented Computing and Applications, 2022, 16 : 17 - 30
  • [43] Cloud services description ontology used for service selection
    Nabli, Hajer
    Ben Djemaa, Raoudha
    Amous Ben Amor, Ikram
    [J]. SERVICE ORIENTED COMPUTING AND APPLICATIONS, 2022, 16 (01) : 17 - 30
  • [44] Trust Mechanism of Cloud Manufacturing Service Platform Based on Blockchain
    Li, Ruifang
    Chen, Tingling
    Lou, Ping
    Yan, Junwei
    Hu, Jiwei
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 2, 2019, : 15 - 19
  • [45] Research on The Cloud Manufacturing Service Discovery for Industry Manufacturing System based on Ontology
    Yang, Chen
    Wang, Zhongjie
    [J]. ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 2639 - +
  • [46] Service-based cloud platform application monitoring analysis
    Liu, Yuecan
    Sun, Jiangang
    Chang, Yuzhu
    Yang, Qingfu
    Yang, Linwei
    Li, JIng
    [J]. 2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 799 - 803
  • [47] An ontology-based architecture for service discovery and advice system
    Bianchini, D
    De Antonellis, V
    Melchiori, M
    [J]. SIXTEENTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, : 551 - 556
  • [48] An SLA ontology to support service discovery in future cloud markets
    Di Modica, Giuseppe
    Petralia, Giuseppe
    Tomarchio, Orazio
    [J]. 2013 IEEE 27TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2013, : 1161 - 1166
  • [49] Cloud service selection using cloud service brokers: approaches and challenges
    Meysam Vakili
    Neda Jahangiri
    Mohsen Sharifi
    [J]. Frontiers of Computer Science, 2019, 13 : 599 - 617
  • [50] Ontology-based service discovery framework for dynamic environments
    Zeshan, Furkh
    Mohamad, Radziah
    Ahmad, Mohammad Nazir
    Hussain, Syed Asad
    Ahmad, Adnan
    Raza, Imran
    Mehmood, Abid
    Ulhaq, Ikram
    Abdulgader, Arafat
    Babar, Imran
    [J]. IET SOFTWARE, 2017, 11 (02) : 64 - 74