Real-time resources allocation framework for multi-task offloading in mobile cloud computing

Zhiqiang Gu, Ryuichi Takahashi, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloudlet can effectively reduce the computing load and communication delay of the remote cloud. However, since the cloudlet does not have the powerful computing performance of the remote cloud, as the number of users changes, the resources that the cloudlet can provide for each user change. In addition, as the user has mobility and the service coverage of the cloudlet is limited, the user may get out of the service coverage of the cloudlet during the task execution. In this case, the user will not receive the calculation results, which will lead to the failure of cloud computing. In order to allocate the necessary and sufficient resources to the users, this paper proposes a real-time resource allocation framework. A task movement record-based particle swarm optimization (MRPSO) algorithm is introduced to solve the problem of real-time resource allocation and task failure. Experiments show that the proposed method can provide an effective solution which performs faster than the original PSO method.

Original languageEnglish
Title of host publicationCITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems
EditorsMohammad S. Obaidat, Zhenqiang Mi, Kuei-Fang Hsiao, Petros Nicopolitidis, Daniel Cascado-Caballero
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538640883
DOIs
Publication statusPublished - 2019 Aug
Event2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019 - Beijing, China
Duration: 2019 Aug 282019 Aug 31

Publication series

NameCITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems

Conference

Conference2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019
CountryChina
CityBeijing
Period19/8/2819/8/31

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Keywords

  • Cloudlet
  • Mobile cloud computing
  • PSO

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Gu, Z., Takahashi, R., & Fukazawa, Y. (2019). Real-time resources allocation framework for multi-task offloading in mobile cloud computing. In M. S. Obaidat, Z. Mi, K-F. Hsiao, P. Nicopolitidis, & D. Cascado-Caballero (Eds.), CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems [8862120] (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CITS.2019.8862120