scholarly journals A Comprehensive Review of Computing Paradigms, enabling Computation Offloading and Task Execution in Vehicular Networks

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Abdul Waheed ◽  
Munam Ali Shah ◽  
Syed Muhammad Mohsin ◽  
Abid Khan ◽  
Carsten Maple ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Computation Offloading ◽  
Task Execution ◽  
Comprehensive Review ◽  
And Task

scholarly journals Joint optimization of network selection and task offloading for vehicular edge computing

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Lujie Tang ◽  
Bing Tang ◽  
Li Zhang ◽  
Feiyan Guo ◽  
Haiwu He
Keyword(s):  
Large Scale ◽  
Vehicular Networks ◽  
Access Point ◽  
Edge Computing ◽  
Network Selection ◽  
Network Access ◽  
Task Execution ◽  
Point Selection ◽  
Vehicle Movement ◽  
Task Offloading

AbstractTaking the mobile edge computing paradigm as an effective supplement to the vehicular networks can enable vehicles to obtain network resources and computing capability nearby, and meet the current large-scale increase in vehicular service requirements. However, the congestion of wireless networks and insufficient computing resources of edge servers caused by the strong mobility of vehicles and the offloading of a large number of tasks make it difficult to provide users with good quality of service. In existing work, the influence of network access point selection on task execution latency was often not considered. In this paper, a pre-allocation algorithm for vehicle tasks is proposed to solve the problem of service interruption caused by vehicle movement and the limited edge coverage. Then, a system model is utilized to comprehensively consider the vehicle movement characteristics, access point resource utilization, and edge server workloads, so as to characterize the overall latency of vehicle task offloading execution. Furthermore, an adaptive task offloading strategy for automatic and efficient network selection, task offloading decisions in vehicular edge computing is implemented. Experimental results show that the proposed method significantly improves the overall task execution performance and reduces the time overhead of task offloading.

scholarly journals Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization

2019 ◽  
Vol 68 (2) ◽  
pp. 1079-1092 ◽  
Author(s):  
Jianbo Du ◽  
F. Richard Yu ◽  
Xiaoli Chu ◽  
Jie Feng ◽  
Guangyue Lu
Keyword(s):  
Resource Allocation ◽  
Vehicular Networks ◽  
Cost Minimization ◽  
Computation Offloading

Manipulation and Task Execution by Humanoids

2018 ◽  
pp. 1633-1655
Author(s):  
Kensuke Harada ◽  
Máximo A. Roa
Keyword(s):  
Task Execution ◽  
And Task

scholarly journals An Efficient Technique for Virtual Machine Clustering and Communications Using Task-Based Scheduling in Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
C. Saravanakumar ◽  
M. Geetha ◽  
S. Manoj Kumar ◽  
S. Manikandan ◽  
C. Arun ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
High Availability ◽  
Performance Parameters ◽  
Task Execution ◽  
User Tasks ◽  
Cloud User ◽  
Computing Models ◽  
Bucket Size ◽  
And Task

Cloud computing models use virtual machine (VM) clusters for protecting resources from failure with backup capability. Cloud user tasks are scheduled by selecting suitable resources for executing the task in the VM cluster. Existing VM clustering processes suffer from issues like preconfiguration, downtime, complex backup process, and disaster management. VM infrastructure provides the high availability resources with dynamic and on-demand configuration. The proposed methodology supports VM clustering process to place and allocate VM based on the requesting task size with bandwidth level to enhance the efficiency and availability. The proposed clustering process is classified as preclustering and postclustering based on the migration. Task and bandwidth classification process classifies tasks with adequate bandwidth for execution in a VM cluster. The mapping of bandwidth to VM is done based on the availability of the VM in the cluster. The VM clustering process uses different performance parameters like lifetime of VM, utilization of VM, bucket size, and task execution time. The main objective of the proposed VM clustering is that it maps the task with suitable VM with bandwidth for achieving high availability and reliability. It reduces task execution and allocated time when compared to existing algorithms.

scholarly journals Features, Challenges and Issues of Fog Computing: A Comprehensive Review

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
End Users ◽  
Computing Technology ◽  
Privacy And Security ◽  
Comprehensive Review ◽  
Advantages And Disadvantages ◽  
Security Control ◽  
Control And Management ◽  
And Task

Fog computing is a promising technology that is used by many organizations and end-users. It has characteristics and advantages that offer services such as computing, storage, communication, and application services. It facilitates these services to end-users and allows to increase the number of devices that can connect to the network. In this paper, we provide a survey of Fog computing technology in terms of its architecture, features, advantages and disadvantages. We provide a comparison of this model with Cloud Computing, Mobile-Edge Computing, and Cloudlet Computing. We also present challenges and issues that face Fog Computing such as privacy and security, control and management, fog networking and task scheduling. Finally, we discuss aspects of Fog computing security and the benefits of integration between Fog computing and other techniques like Internet of Things and Cloud Computing.

scholarly journals In-Lecture Media Use and Academic Performance: Investigating Demographic and Intentional Moderators

2018 ◽  
Vol 30 (1) ◽  
Author(s):  
Douglas A. Parry ◽  
Daniel B. Le Roux
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Digital Media ◽  
Empirical Investigation ◽  
Media Use ◽  
Significant Negative Correlation ◽  
Task Execution ◽  
Communication Processes ◽  
Undergraduate University Students ◽  
And Task

The growing prevalence of continuous media use among university students in lecture environments has potential for detrimental effects. In this study we investigate the relationships between in-lecture media use and academic performance. Previous studies have shown that students frequently engage with digital media whilst in university lectures. Moreover, multitasking imposes cognitive costs detrimental to learning and task execution. We propose, accordingly, that the constant distractions created by digital media, interrupt the thought and communication processes of students during lectures and, subsequently, obstruct their ability to learn. To test this proposition we conducted a survey-based empirical investigation of digital media use and academic performance among undergraduate university students. A significant negative correlation was found between the number of in-lecture media use instances and academic performance. Furthermore, this effect was found to be pervasive independent of individual demographic factors and the intention with which a medium was used.

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