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- research-articleSeptember 2024
Rules-reduced fuzzy neural network-based learning control for multiple constraints robots using online identification and compensation methods
Information Sciences: an International Journal (ISCI), Volume 679, Issue Chttps://doi.org/10.1016/j.ins.2024.121060AbstractThis paper presents a novel fuzzy-learning adaptive control approach for uncertain robotic systems with input dead zone and output saturation constraints. To address the input dead zone and output saturation and improve the control stability of ...
- research-articleJuly 2024
Towards blockchain-enabled decentralized and secure federated learning
Information Sciences: an International Journal (ISCI), Volume 665, Issue Chttps://doi.org/10.1016/j.ins.2024.120368AbstractThe conventional machine learning process typically operates under the premise of centralized data aggregation, where all data is collected at a central location for model training. However, this raises substantial privacy concerns when the data ...
Highlights- A decentralized and secure federated learning platform for providing federated learning service.
- A contribution-based exploration-exploitation mechanism for cherry-picking clients.
- A parallel computing algorithm for trusted and ...
- research-articleFebruary 2024
A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings
Engineering Applications of Artificial Intelligence (EAAI), Volume 127, Issue PBhttps://doi.org/10.1016/j.engappai.2023.107407AbstractTransfer learning (TL) is an important method to accurately identify the bearing health status in cross-domain and ensure the safe operation of machinery. With the advancement in research, it will become a trend to choose different neural ...
Highlights- An adaptive input length is selected automatically based on the inherent properties of bearing.
- Low-dimensional features reused strategies is adopted in the design of the TL network.
- Parallel ensemble optimization framework for ...
- research-articleFebruary 2024
Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection
Engineering Applications of Artificial Intelligence (EAAI), Volume 126, Issue PChttps://doi.org/10.1016/j.engappai.2023.107051AbstractInput length (IL) is an important element in transfer learning (TL) network for intelligent health status identification of bearing (IHSIB). However, fixed IL are used in most studies. In this paper, a TL network via adaptive IL selection module ...
Highlights- Adaptive input selection module is proposed to dynamically and automatically select IL.
- Dense block is used in CNNs to obtain more information from low-dimensional features.
- Two datasets validated the Multi-source, unsupervised, ...
- research-articleAugust 2023
An INT-based TCP window modulator for congestion control in data center networks
Journal of Network and Computer Applications (JNCA), Volume 217, Issue Chttps://doi.org/10.1016/j.jnca.2023.103688AbstractModern data centers carry a huge number of diverse services and applications, which are developed by Transmission Control Protocol (TCP). The early TCP versions, such as Reno, were designed decades ago and not efficient enough to ...
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- research-articleAugust 2023
A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis
Engineering Applications of Artificial Intelligence (EAAI), Volume 123, Issue PChttps://doi.org/10.1016/j.engappai.2023.106395AbstractIn recent years, great progress has been made in intelligent bearing fault diagnosis based on transfer learning (TL). However, the huge number of parameters is ignored when using large convolutional neural network (CNN), and the input length of ...
Highlights- First attempt to apply adaptive input length strategy for bearing fault diagnosis.
- GC and IN are used to ensure the accuracy and make the network lightweight.
- Verified 81 TL tasks including unsupervised, cross-domain, and multiple ...
- research-articleJuly 2023
Intelligent queue management of open vSwitch in multi-tenant data center
Future Generation Computer Systems (FGCS), Volume 144, Issue CPages 50–62https://doi.org/10.1016/j.future.2023.02.018AbstractMulti-tenant data centers (MTDCs) host numerous applications with dominant transport layer protocol TCP, hence the performance of TCP matters a lot. However, it is difficult for the tenants to configure their TCP/IP stacks ...
Highlights- This paper introduces the network congestion and unfairness problem in MTDC.
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- research-articleApril 2023
Online optimization of intelligent reflecting surface-aided energy-efficient IoT-edge computing
Future Generation Computer Systems (FGCS), Volume 141, Issue CPages 611–625https://doi.org/10.1016/j.future.2022.12.008AbstractWith the tremendous developments of Internet of Things (IoT), IoT devices and applications are imposing progressively higher requirements on computing, communication, and power services. Edge computing in combination with wireless ...
Highlights- We propose to leverage the IRS technology to assist WPT and data transmission.
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- research-articleFebruary 2022
Blockchain-enabled feedback-based combinatorial double auction for cloud markets
Future Generation Computer Systems (FGCS), Volume 127, Issue CPages 225–239https://doi.org/10.1016/j.future.2021.09.009AbstractThe fast-growing cloud computing market puts tremendous provisioning pressure on cloud service providers. Instead of keeping investing in costly cloud infrastructures, trading resources among different cloud service providers is ...
Highlights- Achieving high efficiency because of the improved greedy allocation algorithm.
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- research-articleOctober 2021
MAFAWD: An Adaptive Weight Distribution Clustering Algorithm Based on Multi-layer Attribute Fusion
ACM TURC '21: Proceedings of the ACM Turing Award Celebration Conference - ChinaPages 266–272https://doi.org/10.1145/3472634.3474083With the rapid development of social networks, the structure of the data presents more and more complex, and the graph data appears now. This paper proposes an adaptive clustering algorithm based on Multi-layer Attribute Fusion for the Adaptive Weight ...
- research-articleMarch 2021
BDDT: use blockchain to facilitate IoT data transactions
Cluster Computing (KLU-CLUS), Volume 24, Issue 1Pages 459–473https://doi.org/10.1007/s10586-020-03119-wAbstractWith the rapid development of Internet of Things (IoT), more and more devices are connected to IoT, leading to an exponential increase in IoT data. However, two problems stand in the way of the further development of IoT. First, IoT data is ...
- research-articleSeptember 2020
Achieving privacy protection for crowdsourcing application in edge-assistant vehicular networking
Telecommunications Systems (TESY), Volume 75, Issue 1Pages 1–14https://doi.org/10.1007/s11235-020-00666-wAbstractCrowdsourcing application, deemed as a key evolution on the way to vehicular networking, has great potential to provide real-time services. However, existing cloud-based vehicular networking cannot support real-time data transmission with wasting ...
- research-articleJune 2019
Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles
IEEE Wireless Communications (IEEEWIRCOM), Volume 26, Issue 3Pages 12–18https://doi.org/10.1109/MWC.2019.1800411Recent advances in edge computing and caching have significant impacts on the developments of vehicular networks. Nevertheless, the heterogeneous requirements of on-vehicle applications and the time variability on popularity of contents bring great ...
- research-articleMarch 2019
BGP-LSChain: An Inter-domain Link State Sharing Framework Based on Blockchain
ICBCT '19: Proceedings of the 2019 International Conference on Blockchain TechnologyPages 19–23https://doi.org/10.1145/3320154.3320157Nowadays, the Internet has become a huge network composed of multiple autonomous systems (ASs) which are managed by various network operators. Network operators try to apply different network optimization technologies, based on link state information ...
- research-articleDecember 2018
Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks
2018 IEEE Global Communications Conference (GLOBECOM)Pages 1–7https://doi.org/10.1109/GLOCOM.2018.8648004The emergence of computation intensive on-vehicle applications poses a significant challenge to provide the required computation capacity and maintain high performance. Vehicular Edge Computing (VEC) is a new computing paradigm with a high potential to ...
- research-articleDecember 2018
Maximizing Profit of Network InP by Cross-Priority Traffic Engineering
2018 IEEE Global Communications Conference (GLOBECOM)Pages 1–6https://doi.org/10.1109/GLOCOM.2018.8647722Traffic engineering (TE) plays an important role in determining the network performance and reliability, which has been studied thoroughly in past decades. However, due to the advances in cloud and mobile computing, the confliction of bandwidth provision ...
- research-articleDecember 2016
Breaking the Split Incentive Hurdle via Time-Varying Monetary Rewards
2016 IEEE Global Communications Conference (GLOBECOM)Pages 1–6https://doi.org/10.1109/GLOCOM.2016.7841642Demand response is widely employed by today's data centers to response to the increasing of electricity cost. To incentivize users of data centers participate in the demand response programs, i.e., breaking the split incentive hurdle, some prior ...
- articleApril 2016
Correlation-based virtual machine migration in dynamic cloud environments
Photonic Network Communications (SPPNC), Volume 31, Issue 2Pages 206–216https://doi.org/10.1007/s11107-015-0539-6Virtual machine (VM) migration enables flexible and efficient resource management in modern data centers. Although various VM migration algorithms have been proposed to improve the utilization of physical resources in data centers, they generally focus ...
- articleJanuary 2014
Local protection: A cost efficient technique for reliable virtual infrastructure design
Optical Switching and Networking (OSAN), Volume 11Pages 154–166https://doi.org/10.1016/j.osn.2013.06.004Network virtualization allows multiple virtual infrastructures (VIs) to coexist on the same shared underlying substrate infrastructure, thus simplifying resource management, increasing infrastructure utilization and reducing operational costs. However, ...
- ArticleAugust 2011
A new in-domain interconnected architecture based on tree-based topology
CHINACOM '11: Proceedings of the 2011 6th International ICST Conference on Communications and Networking in ChinaPages 730–734https://doi.org/10.1109/ChinaCom.2011.6158250With the development of Internet, data centers may consist of tens of thousands of servers, and in many applications, servers in data centers need to communicate with each others. The limited bandwidth of these interior communications is becoming the ...