About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Context-Aware Systems and Applications. 10th EAI International Conference, ICCASA 2021, Virtual Event, October 28–29, 2021, Proceedings

Research Article

Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices

Download(Requires a free EAI acccount)
2 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-93179-7_17,
        author={Nguyen Thanh Tung},
        title={Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices},
        proceedings={Context-Aware Systems and Applications. 10th EAI International Conference, ICCASA 2021, Virtual Event,  October 28--29, 2021, Proceedings},
        proceedings_a={ICCASA},
        year={2022},
        month={1},
        keywords={IoT Cloud-Fog system Battery constraint Operation time Linear programming},
        doi={10.1007/978-3-030-93179-7_17}
    }
    
  • Nguyen Thanh Tung
    Year: 2022
    Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices
    ICCASA
    Springer
    DOI: 10.1007/978-3-030-93179-7_17
Nguyen Thanh Tung1,*
  • 1: International School
*Contact email: tungnt@isvnu.vn

Abstract

In the Cloud-Fog system paradigm, the IoT services take an important role. It is a service layer upper from the shared physical infrastructure layer. The actual implementation of service functions is a key aspect of increasing service operation. Deployment decisions need to address the resource requirements of the services, ensure that the services meet its QoS constraints while reducing the overall operating cost. Allocating resources in an inefficient operation will lead to less efficient of services and increase the number of physical servers to use while some of these having very low utilization rates.

In this paper, we investigate the problem of IoT devices deployment in Cloud- Fog system to provide the maximum operation time under the battery constraint of IoT devices. Although we can use Linear Programming (LP) to calculate the solution, we cannot run the LP in small IoT device, therefore heuristic algorithms are needed. Our trial shows that the approximate solution is far better than the random solution.

Keywords
IoT Cloud-Fog system Battery constraint Operation time Linear programming
Published
2022-01-06
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-93179-7_17
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL