Efficient Service Recommendation System for Cloud Computing Market

被引:0
|
作者
Han, Seung-Min [1 ]
Hassan, Mohammad Mehedi [1 ]
Yoon, Chang-Woo [2 ]
Lee, Hyun-Woo [2 ]
Huh, Eui-Nam [1 ]
机构
[1] Kyung Hee Univ, Dept Comp Engn, Global Campus, Seoul, South Korea
[2] Elect & Telecommun Res Inst, Daejeon, South Korea
来源
GRID AND DISTRIBUTED COMPUTING | 2009年 / 63卷
关键词
Cloud Service; Cloud Market; Service Selection; Recommendation System;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years. Cloud computing is gaining much popularity as it can efficiently utilize the computing resources and hence can contribute to the issue of Green IT to save energy. So to make the Cloud services commercialized. Cloud markets are necessary and are being developed As the increasing numbers of various Cloud services are rapidly evolving in the Cloud market, how to select the best and optimal services will be a great challenge. In this paper we present a Cloud service selection framework in the Cloud market that uses a recommender system (RS) which helps a user to select the best services from different Cloud providers (CP) that matches user requirements The RS recommends a service based on the network QoS and Virtual Machine (VM) platform factors of difference CPs The experimental results show that our Cloud service recommender system (CSRS) can effectively recommend a good combination of Cloud services to consumers
引用
收藏
页码:117 / +
页数:2
相关论文
共 50 条
  • [1] Trust based recommendation system in service-oriented cloud computing
    Kong, Dehua
    Zhai, Yuqing
    2012 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICE COMPUTING (CSC), 2012, : 176 - 179
  • [2] Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph
    Xu, Shulin
    Wu, Ziyang
    Shi, Chunyu
    Sun, Mengyu
    IEEE ACCESS, 2023, 11 : 120541 - 120553
  • [3] Building an Open Cloud Dual-Market for Cloud Computing Service
    Gu, Yonggen
    Wu, Xiaohong
    Tao, Jie
    2ND INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2010), VOLS 1 AND 2, 2010, : 691 - 694
  • [4] Toward the efficient service selection approaches in cloud computing
    Rahimi, Morteza
    Navimipour, Nima Jafari
    Hosseinzadeh, Mehdi
    Moattar, Mohammad Hossein
    Darwesh, Aso
    KYBERNETES, 2022, 51 (04) : 1388 - 1412
  • [5] A Fuzzy-based Recommendation System for Cloud Accounting Service
    Gao, Xu
    Yu, Chunxia
    2016 13TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, 2016,
  • [6] A Framework For Mobile Cloud Computing Selective Service System
    Shi, Zhefu
    Gu, Ruirui
    2013 WIRELESS TELECOMMUNICATIONS SYMPOSIUM (WTS), 2013,
  • [7] A Novel Framework for Cloud Service Recommendation
    Indira, K.
    Santhiya, C.
    Ramya, T.
    2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 2457 - 2462
  • [8] Construction of a Cloud Scenario Knowledge Graph for Cloud Service Market
    Zhang, Shiqi
    Liu, Xiaoqiang
    Xu, Bo
    Cai, Lizhi
    Hu, Yun
    PROCEEDINGS OF 2020 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2020), 2020, : 503 - 506
  • [9] Service Association Factor (SAF) for Cloud Service Selection and Recommendation
    Rabbani, Imran Mujaddid
    Aslam, Muhammad
    Maria Martinez-Enriquez, Ana
    Qudeer, Zeshan
    INFORMATION TECHNOLOGY AND CONTROL, 2020, 49 (01): : 113 - 126
  • [10] A disease diagnosis and treatment recommendation system based on big data mining and cloud computing
    Chen, Jianguo
    Li, Kenli
    Rong, Huigui
    Bilal, Kashif
    Yang, Nan
    Li, Keqin
    INFORMATION SCIENCES, 2018, 435 : 124 - 149