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Price and risk awareness for data offloading decision-making in edge computing systems
The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
Mobile Devices (MDs) support various delay-sensitive and computation-intensive
applications. Yet they only have limited battery energy and computing resources, thereby …
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
Abstract Multi-Dimensional Resources Scheduling Problem (MDRSP, usually a multi-
objective optimization problem) has attracted focus in the management of large-scale cloud …
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 …
Experience (QoE) for the network edge users. However, when there are multiple …