Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network

被引:52
作者
Lakhan, Abdullah [1 ]
Memon, Muhammad Suleman [2 ]
Mastoi, Qurat-ul-ain [3 ]
Elhoseny, Mohamed [4 ,5 ]
Mohammed, Mazin Abed [6 ]
Qabulio, Mumtaz [7 ]
Abdel-Basset, Mohamed [8 ]
机构
[1] Wenzhou Univ, Coll Comp Sci & Artificial Intelligence, Wenzhou 325035, Peoples R China
[2] Univ Sindh, Dept Informat Technol, Dadu Campus, Jamshoro, Sindh, Pakistan
[3] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia
[4] Amer Univ Emirates, Dept Comp Sci, Coll Comp Informat Technol, Dubai Int Acad City 503000, U Arab Emirates
[5] Mansoura Univ, Fac Comp & Informat, Mansoura, Egypt
[6] Univ Anbar, Coll Comp Sci & Informat Technol, Ramadi 31001, Iraq
[7] Univ Sindh, Dept Software Engn, Fac Engn, Jamshoro, Pakistan
[8] Zagazig Univ, Fac Comp & Informat, Zagazig 44519, Sharqiyah, Egypt
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2022年 / 25卷 / 03期
关键词
Task offloading; Internet of things; Task scheduling; VFCN; Mobility; Task latency; System costs; QUALITY; LATENCY; MODEL;
D O I
10.1007/s10586-021-03333-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-Business, E-Train, E-Ambulance has been growing progressively. These applications require mobility-aware delay-sensitive services to execute their tasks. With this motivation, the study has the following contribution. Initially, the study devises a novel cooperative vehicular fog cloud network (VFCN) based on container microservices which offers cost-efficient and mobility-aware services with rich resources for processing. This study devises the cost-efficient task offloading and scheduling (CEMOTS) algorithm framework, which consists of the mobility aware task offloading phase (MTOP) method, which determines the optimal offloading time to minimize the communication cost of applications. Furthermore, CEMOTS offers Cooperative Task Offloading Scheduling (CTOS), including task sequencing and scheduling. The goal is to reduce the application costs of communication cost and computational costs under a given deadline constraint. Performance evaluation shows the CTOS and MTOP outperform existing task offloading and scheduling methods in the VCFN in terms of costs and the deadline for IoT applications.
引用
收藏
页码:2061 / 2083
页数:23
相关论文
共 63 条
  • [61] Zhang K, 2017, CAMB MG MEC, P1, DOI [10.1007/s10586-017-1443-x, 10.1017/9781139024853, 10.1109/ICC.2017.7997360]
  • [62] Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach
    Zhou, Zhenyu
    Liu, Pengju
    Feng, Junhao
    Zhang, Yan
    Mumtaz, Shahid
    Rodriguez, Jonathan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (04) : 3113 - 3125
  • [63] Zhu C, 2018, IEEE INT CONF SENS, P298