Development of Fog based Dynamic Resource Allocation and Pricing Model in IoT

被引:0
|
作者
Sutagundar, Ashok [1 ]
Shahapur, Sangeeta B. [1 ]
机构
[1] Basaveshwar Engn Coll, Dept Elect & Commun Engn, Bagalkot, Karnataka, India
关键词
Cloud Computing; Fog Computing; Resource Allocation; Pricing model;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing is widely used technology on the Internet. A number of users can access their data over the Internet. Various users demands a different amount of resources for different applications and services. In the cloud, managing the data is becoming more challenging. As a number of tasks increases, the resource allocation and pricing becomes challenging in the cloud. Therefore, we are proposing algorithm for fog based resource allocation and pricing model for loT devices. The resource allocation is based on the priorities of the user's request. Based on the prioritized task, the pricing is allocated to the users for their request's. In order to evaluate the performance of the proposed system, it is simulated using the Cloudsim toolkit in Java language.
引用
收藏
页码:349 / 354
页数:6
相关论文
共 50 条
  • [1] Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT
    Aazam, Mohammad
    Huh, Eui-Nam
    2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (IEEE AINA 2015), 2015, : 687 - 694
  • [2] Pricing and Resource Allocation Optimization for IoT Fog Computing and NFV: An EPEC and Matching Based Perspective
    Raveendran, Neetu
    Zhang, Huaqing
    Song, Lingyang
    Li-Chun Wang
    Hong, Choong Seon
    Han, Zhu
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2022, 21 (04) : 1349 - 1361
  • [3] A Virtual Network Resource Allocation Model Based on Dynamic Resource Pricing
    Xiao, Xian-Cui
    Zheng, Xiang-Wei
    Wei, Yi
    Cui, Xin-Chun
    IEEE ACCESS, 2020, 8 (08): : 160414 - 160426
  • [4] QoE Based Revenue Maximizing Dynamic Resource Allocation and Pricing for Fog-Enabled Mission-Critical IoT Applications
    Farooq, Muhammad Junaid
    Zhu, Quanyan
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (12) : 3395 - 3408
  • [5] Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System
    Chang, Zheng
    Liu, Liqing
    Guo, Xijuan
    Sheng, Quan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (05) : 3348 - 3357
  • [6] Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing
    Bandopadhyay, Anjan
    Swain, Sujata
    Singh, Raj
    Sarkar, Pritam
    Bhattacharyya, Siddhartha
    Mrsic, Leo
    IEEE ACCESS, 2024, 12 : 51704 - 51718
  • [7] Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment
    Baek, Beomhan
    Lee, Joohyung
    Peng, Yuyang
    Park, Sangdon
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05) : 4292 - 4303
  • [8] Resource Allocation for Efficient IOT Application in Fog Computing
    Verma, Shubham
    Gupta, Amit
    Kumar, Sushil
    Srivastava, Vivek
    Tripathi, Bipin Kumar
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2020, 5 (06) : 1312 - 1323
  • [9] Fog Federation Pricing and Resource Purchase Based on the Stackelberg Model in Fog Computing
    Zhang, Chenxiang
    Sun, Yujie
    Liu, Wenqing
    Huang, Chenbin
    WIRELESS SENSOR NETWORKS, CWSN 2022, 2022, 1715 : 55 - 65
  • [10] QoS Based Optimal Resource Allocation and Workload Balancing for Fog Enabled IoT
    Khalid, Adnan
    ul Ain, Qurat
    Qasim, Awais
    Aziz, Zeeshan
    OPEN COMPUTER SCIENCE, 2021, 11 (01) : 262 - 274