Price and risk awareness for data offloading decision-making in edge computing systems

G Mitsis, EE Tsiropoulou… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing

W Shu, K Cai, NN **ong - Future Generation Computer Systems, 2021 - Elsevier
Virtualization technology provides a new way to improve resource utilization and cloud
service throughput. However, the randomness of task arrival, tight coupling between …

Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions

G Zhou, W Tian, R Buyya, R Xue, L Song - Artificial Intelligence Review, 2024 - Springer
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Task partitioning and offloading in DNN-task enabled mobile edge computing networks

M Gao, R Shen, L Shi, W Qi, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity
due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN …

Distributed resource allocation and computation offloading in fog and cloud networks with non-orthogonal multiple access

Y Liu, FR Yu, X Li, H Ji… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Fog computing, complementary to cloud computing, has recently emerged as a promising
solution that extends the computing infrastructure from the cloud center to the network edge …

A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing

L Yang, H Zhang, X Li, H Ji… - IEEE/ACM transactions …, 2018 - ieeexplore.ieee.org
Mobile edge computing is conceived as an appealing technology to enhance cloud
computing capability of mobile devices (MDs) at the edge of the networks. Although some …

Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis

MAN Saif, SK Niranjan, HDE Al-Ariki - Wireless Networks, 2021 - Springer
Resource management (RM) is a challenging task in a cloud computing environment where
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …

Energy-minimized partial computation offloading for delay-sensitive applications in heterogeneous edge networks

J Bi, H Yuan, K Zhang, MC Zhou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Devices (MDs) support various delay-sensitive and computation-intensive
applications. Yet they only have limited battery energy and computing resources, thereby …

Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing

G Zhou, WH Tian, R Buyya, K Wu - Applied Soft Computing, 2023 - Elsevier
Abstract Multi-Dimensional Resources Scheduling Problem (MDRSP, usually a multi-
objective optimization problem) has attracted focus in the management of large-scale cloud …

Stochastic congestion game for load balancing in mobile-edge computing

F Zhang, MM Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile-edge computing can reduce task execution delay and improve the Quality of
Experience (QoE) for the network edge users. However, when there are multiple …