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Edge-cloud computing cooperation for task offloading in internet-of-things

With the fast development trend of Internet of Things (IoTs), the demand for User Terminals (UTs) such as smartphones, unmanned aerial vehicles, and wearable devices is increasing dramatically. However, UTs are constrained by limited resources, such as CPU computing power, storage space, energy capacities, and environmental awareness, complex computing tasks. To solve the above contradiction, one effective way is to offload complex computing tasks from UTs either to remote cloud servers or nearby edge servers. Compared to cloud servers, edge servers are closer to UTs and thus achieve lower latency; however, edge servers have low computing capacity while cloud servers have relatively sufficient computing power. Therefore, edge computing and cloud computing can cooperate and complement with each other in terms of computing, storage, and communication facilities. The combination of edge and cloud computing will make task execution faster, cheaper, and more stable. 
This special issue is devoted to state-of-the-art research covering concepts of task offloading technologies for IoT applications. It is of great significance to the rapid promotion of collaboration between Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC). With the continuous development of theory and methods of decision-making and thorough perception of the hybrid task offloading, and further meets the application requirements on UTs, compensates for the lack of computing capacity and limited battery power for IoT systems.                        

Guest editors:
Huaming Wu, Tianjin University, China
Adel Nadjaran Toosi, Monash University, Australia
Sukhpal Singh Gill, Queen Mary University of London, UK
Minxian Xu, Shenzhen Institutes of Advanced Technology, CAS, China

  1. Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static off...

    Authors: Hamza Sulimani, Rahaf Sulimani, Fahimeh Ramezani, Mohsen Naderpour, Huan Huo, Tony Jan and Mukesh Prasad
    Citation: Journal of Cloud Computing 2024 13:113
  2. Intelligent transport systems (ITS) provide various cooperative edge cloud services for roadside vehicular applications. These applications offer additional diversity, including ticket validation across transp...

    Authors: Abdullah Lakhan, Tor-Morten Grønli, Paolo Bellavista, Sajida Memon, Maher Alharby and Orawit Thinnukool
    Citation: Journal of Cloud Computing 2024 13:79
  3. The Internet of Things (IoT) devices are not able to execute resource-intensive tasks due to their limited storage and computing power. Therefore, Mobile edge computing (MEC) technology has recently been utili...

    Authors: Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam, Abdelaziz Foul and Ibrahim A. Hameed
    Citation: Journal of Cloud Computing 2024 13:35
  4. The emergence of the Fifth Generation (5G) era has ushered in a new era of diverse business scenarios, primarily characterized by data-intensive and latency-sensitive applications. Edge computing technology in...

    Authors: Shizhan Lan, Zhuoxi Duan, Song Lu, Bin Tan, Shi Chen, Yeyu Liang and Shan Chen
    Citation: Journal of Cloud Computing 2024 13:18
  5. An edge-cloud computing collaborative dust concentration detection architecture is proposed for real-time operation of intelligent algorithms to reduce the warning delay. And, an end-to-end three-channel convo...

    Authors: Qiao Su, Hongsu Wang, Haiyang Zhao, Yan Chu, Jie Li, Xuan Lyu and Zijuan Li
    Citation: Journal of Cloud Computing 2024 13:7
  6. Recently, the development of Low Earth Orbit (LEO) satellites and the advancement of the Mobile Edge Computing (MEC) paradigm have driven the emergence of the Satellite Mobile Edge Computing (Sat-MEC). Sat-MEC...

    Authors: Shanchen Pang, Jianyang Zheng, Min Wang, Sibo Qiao, Xiao He and Changnan Gao
    Citation: Journal of Cloud Computing 2023 12:159
  7. With the deepening of the construction of the new type power system, the grid has become increasingly complex, and its safe and stable operation is facing more challenges. In order to improve the quality and e...

    Authors: Minghao Zhang, Rui Song, Jun Zhang, Chenyuan Zhou, Guozheng Peng, Haoyang Tian, Tianyi Wu and Yunjia Li
    Citation: Journal of Cloud Computing 2023 12:155
  8. With the development of communication technology and mobile edge computing (MEC), self-driving has received more and more research interests. However, most object detection tasks for self-driving vehicles are ...

    Authors: Lili Nie, Huiqiang Wang, Guangsheng Feng, Jiayu Sun, Hongwu Lv and Hang Cui
    Citation: Journal of Cloud Computing 2023 12:131
  9. The unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system leverages the high maneuverability of UAVs to provide efficient computing services to terminals. A dynamic deployment algorithm bas...

    Authors: Suqin Zhang, Lin Zhang, Fei Xu, Song Cheng, Weiya Su and Sen Wang
    Citation: Journal of Cloud Computing 2023 12:130
  10. Edge-to-cloud continuum connects and extends the calculation from edge side via network to cloud platforms, where diverse workflows go back and forth, getting executed on scheduled calculation resources. To be...

    Authors: Hongyun Liu, Ruyue Xin, Peng Chen, Hui Gao, Paola Grosso and Zhiming Zhao
    Citation: Journal of Cloud Computing 2023 12:58
  11. The exponential device growth in industrial Internet of things (IIoT) has a noticeable impact on the volume of data generated. Edge-cloud computing cooperation has been introduced to the IIoT to lessen the com...

    Authors: Tingting Fu, Yanjun Peng, Peng Liu, Haksrun Lao and Shaohua Wan
    Citation: Journal of Cloud Computing 2022 11:73
  12. The Industrial Internet of Things (IIoTs) is an emerging area that forms the collaborative environment for devices to share resources. In IIoT, many sensors, actuators, and other devices are used to improve in...

    Authors: Tariq Qayyum, Zouheir Trabelsi, Asad Waqar Malik and Kadhim Hayawi
    Citation: Journal of Cloud Computing 2022 11:72
  13. Much research has focused on task offloading in fog-enabled IoT networks. However, there is an important offloading issue that has hardly been addressed—the impact of different virtualization modes on task res...

    Authors: Ismail Mohamed, Hassan Al-Mahdi, Mohamed Tahoun and Hamed Nassar
    Citation: Journal of Cloud Computing 2022 11:21
  14. Mobile edge computing (MEC) is considered to be a promising technique to enhance the computation capability and reduce the energy consumption of smart mobile devices (SMDs) in the sixth-generation (6G) network...

    Authors: Shichao Li, Ning Zhang, Ruihong Jiang, Zou Zhou, Fei Zheng and Guiqin Yang
    Citation: Journal of Cloud Computing 2022 11:17
  15. With the rapid development of Internet of Things (IoT) technologies, fog computing has emerged as an extension to the cloud computing that relies on fog nodes with distributed resources at the edge of network....

    Authors: Zahra Movahedi, Bruno Defude and Amir mohammad Hosseininia
    Citation: Journal of Cloud Computing 2021 10:53
  16. In current power grids, a massive amount of power equipment raises various emerging requirements, e.g., data perception, information transmission, and real-time control. The existing cloud computing paradigm i...

    Authors: Tianjiao Pu, Xinying Wang, Yifan Cao, Zhicheng Liu, Chao Qiu, Ji Qiao and Shuhua Zhang
    Citation: Journal of Cloud Computing 2021 10:48
  17. Connected and Automated Vehicle (CAV) is a transformative technology that has great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming the key subject of next-generation C...

    Authors: Bing Lin, Kai Lin, Changhang Lin, Yu Lu, Ziqing Huang and Xinwei Chen
    Citation: Journal of Cloud Computing 2021 10:33
  18. Adding buffers to networks is part of the fundamental advance in data communication. Since edge cloud computing is based on the heterogeneous collaboration network model in a federated environment, it is natur...

    Authors: Zheng Li, Francisco Millar-Bilbao, Gonzalo Rojas-Durán and Susana Ladra
    Citation: Journal of Cloud Computing 2021 10:24
  19. Vehicular fog computing (VFC) provisions computing services at the edge of networks by fully exploiting the idle resources of vehicle loaded computer systems. Task scheduling and resource allocation revolved a...

    Authors: Chaogang Tang, Shixiong Xia, Qing Li, Wei Chen and Weidong Fang
    Citation: Journal of Cloud Computing 2021 10:19
  20. In the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable service delays for various new applications, such as video streaming analysis and augmented reality, are challenges. Cloud ...

    Authors: VanDung Nguyen, Tran Trong Khanh, Tri D. T. Nguyen, Choong Seon Hong and Eui-Nam Huh
    Citation: Journal of Cloud Computing 2020 9:66