Task scheduling techniques in cloud computing: A literature survey

AR Arunarani, D Manjula, V Sugumaran - Future Generation Computer …, 2019 - Elsevier
Cloud computing manages a variety of virtualized resources, which makes scheduling a
critical component. In the cloud, a client may utilize several thousand virtualized assets for …

Task scheduling mechanisms in cloud computing: A systematic review

A Amini Motlagh, A Movaghar… - International Journal of …, 2020 - Wiley Online Library
Today, cloud computing has developed as one of the important emergent technologies in
communication and Internet. It offers on demand, pay per use access to infrastructure …

A survey on service migration in mobile edge computing

S Wang, J Xu, N Zhang, Y Liu - IEEE Access, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a promising approach to significantly reduce
network operational cost and improve quality of service (QoS) of mobile users by pushing …

Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control

TG Rodrigues, K Suto, H Nishiyama… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Due to physical limitations, mobile devices are restricted in memory, battery, processing,
among other characteristics. This results in many applications that cannot be run in such …

Dynamic cloud task scheduling based on a two-stage strategy

PY Zhang, MC Zhou - IEEE Transactions on Automation …, 2017 - ieeexplore.ieee.org
To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …

Privacy preserving deep computation model on cloud for big data feature learning

Q Zhang, LT Yang, Z Chen - IEEE Transactions on Computers, 2015 - ieeexplore.ieee.org
To improve the efficiency of big data feature learning, the paper proposes a privacy
preserving deep computation model by offloading the expensive operations to the cloud …

Cloudlets activation scheme for scalable mobile edge computing with transmission power control and virtual machine migration

TG Rodrigues, K Suto, H Nishiyama… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Mobile devices have several restrictions due to design choices that guarantee their mobility.
A way of surpassing such limitations is to utilize cloud servers called cloudlets on the edge …

Scalable parallel task scheduling for autonomous driving using multi-task deep reinforcement learning

Q Qi, L Zhang, J Wang, H Sun, Z Zhuang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) as a promising application of Internet of Things (IoT) has
played a significant role in autonomous driving, by connecting intelligent vehicles …

Survey of agent-based cloud computing applications

F De la Prieta, S Rodríguez-González… - Future generation …, 2019 - Elsevier
In the state of the art, there are very few studies on agent-based Cloud Computing.
Nevertheless, this is an emerging trend and the number of studies and applications in this …

Consensus aware manufacturing service collaboration optimization under blockchain based Industrial Internet platform

Y Zhang, P Zhang, F Tao, Y Liu, Y Zuo - Computers & Industrial …, 2019 - Elsevier
To realize collaboration among distributed enterprises, manufacturing service collaboration
on Industrial Internet platform is an efficient method. However, the low degree of …