Is it fair? Resource allocation for differentiated services on demands

R Zhang, N Liu, L Liu, W Zhang, H Yuan… - … Conference on Web …, 2022 - ieeexplore.ieee.org
With the rapid growth of service requirements, the rising concern of resource allocation
fairness (eg, the actual gained Quality of Service (QoS)) leads to the popularity of studies for …

On-Demand Centralized Resource Allocation for IoT Applications: AI-Enabled Benchmark

R Zhang, L Liu, M Dong, K Ota - Sensors, 2024 - mdpi.com
The development of emerging information technologies, such as the Internet of Things (IoT),
edge computing, and blockchain, has triggered a significant increase in IoT application …

Multi-resource generalized processor sharing for packet processing

W Wang, B Liang, B Li - 2013 IEEE/ACM 21st International …, 2013 - ieeexplore.ieee.org
Middleboxes have found widespread adoption in today's networks. They perform a variety of
network functions such as WAN optimization, intrusion detection, and network-level firewalls …

Performance Evaluation of Self-similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach

R Zhang, N Liu, L Liu, M Dong, K Ota… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Generalized Processor Sharing (GPS) under self-similar traffic is widely used for guiding
resource allocation in modern communication networks where performance evaluation, ie …

Fass: A fairness-aware approach for concurrent service selection with constraints

S Li, J Huang, B Cheng, L Cui… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The increasing momentum of service-oriented architecture has led to the emergence of
divergent delivered services, where service selection is meritedly required to obtain the …

Beyond processor sharing

S Aalto, U Ayesta, S Borst, V Misra… - ACM SIGMETRICS …, 2007 - dl.acm.org
While the (Egalitarian) Processor-Sharing (PS) discipline offers crucial insights in the
performance of fair resource allocation mechanisms, it is inherently limited in analyzing and …

DeepQSC: A GNN and attention mechanism-based framework for QoS-aware service composition

X Ren, W Zhang, L Bao, J Song, S Wang… - … on Service Science …, 2021 - ieeexplore.ieee.org
When several Web services with simple functions need to be combined to provide more
complex functions, how to choose from a large number of Web services with the same …

QoS-aware diversified service selection

C Guo, W Zhang, N Dong, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In QoS-aware service selection, merely considering the prediction accuracy of QoS is prone
to redundant results, which hinders practical service composition and also undermines …

CTL-based adaptive service composition in edge networks

D Zhao, Z Zhou, PCK Hung, S Deng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the recent adoption of edge computing, I nternet of T hings (IoT) devices collaborate at
the network edge to facilitate edge-native applications. In this setting, IoT devices are …

Deep reinforcement learning for QoS-constrained resource allocation in multiservice networks

JV Saraiva, IM Braga Jr, VF Monteiro, FRM Lima… - arXiv preprint arXiv …, 2020 - arxiv.org
In this article, we study a Radio Resource Allocation (RRA) that was formulated as a non-
convex optimization problem whose main aim is to maximize the spectral efficiency subject …