Search Results - "Chen, NingJiang"

SDNC-Repair: A Cooperative Data Repair Strategy Based on Erasure Code for Software-Defined Storage by Chen, Ningjiang, Liu, Weitao, Pu, Wenjuan, Liu, Yifei, Zhong, Qingwei

“…Erasure-code-based storage systems suffer from problems such as long repair time and low I/O performance, resulting in high repair costs. For many years,…”
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FASDQ: Fault-Tolerant Adaptive Scheduling with Dynamic QoS-Awareness in Edge Containers for Delay-Sensitive Tasks by Wang, Ruifeng, Chen, Ningjiang, Yao, Xuyi, Hu, Liangqing

“…As the requirement for real-time data analysis increases, edge computing is being implemented to leverage the resources of edge devices to reduce system…”
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Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks by Zhang, Yu, Chen, Ningjiang, Yu, Siyu, Hu, Liangqing

“…With the rapid development of the Internet-of-Things (IoT), a massive amount of transient data is transmitted in edge networks. Transient data are highly…”
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Workload-based randomization byzantine fault tolerance consensus protocol by Huang, Baohua, Peng, Li, Zhao, Weihong, Chen, Ningjiang

“…This paper introduces a new Byzantine fault tolerance protocol called workload-based randomization Byzantine fault tolerance protocol (WRBFT). Improvements are…”
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A Discrete Multi-Objective Rider Optimization Algorithm for Hybrid Flowshop Scheduling Problem Considering Makespan, Noise and Dust Pollution by Fu, Yanming, Li, Zhuohang, Chen, Ningjiang, Qu, Chiwen

“…Many optimization algorithms have been proposed to solve hybrid flowshop scheduling problem (HFSP). However, with the development of industry and society,…”
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Container cascade fault detection based on spatial–temporal correlation in cloud environment by Chen, Ningjiang, Zhong, Qingwei, Liu, Yifei, Liu, Weitao, Bai, Lin, Hu, Liangqing

“…Containers are light, numerous, and interdependent, which are prone to cascading fault, increasing the probability of fault and the difficulty of detection…”
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SDCUP: Software-Defined-Control Based Erasure-Coded Collaborative Data Update Mechanism by Pu, Wenjuan, Chen, Ningjiang, Zhong, Qingwei

“…The storage system often uses erasure coding to provide the necessary fault tolerance. The erasure-coded update involves data transmission and data calculation…”
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High-Performance Elastic Management for Cloud Containers Based on Predictive Message Scheduling by Yan, Chengxin, Chen, Ningjiang, Shuo, Zhang

“…Containerized data centers can improve the computational density of IaaS layers. This intensive high-concurrency environment has high requirements for message…”
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Self-balanced Scheduling Strategy for Container Cluster Based on Improved DQN Algorithm by Xie, Yongsheng, Huang, Xiangheng, Chen, Ningjiang

“…The resource scheduling strategy of container cloud system plays an important role in resource utilization and cluster performance.The existing container…”
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MACC: A Heterogeneous Multi-Agent Mobile Edge Coding Caching Strategy for Reducing Traffic Load by Yuan, Xuemei, Chen, Ningjiang

“…The rapid development of industrial IoT communication and the wide application of smart terminal devices, large-scale mobile data traffic and frequent data…”
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Performance optimization of serverless edge computing function offloading based on deep reinforcement learning by Yao, Xuyi, Chen, Ningjiang, Yuan, Xuemei, Ou, Pingjie

“…It is difficult for resource-constrained edge servers to simultaneously meet the performance requirements of all the latency-sensitive Internet of Things (IoT)…”
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Low-complexity collaborative caching strategy based on spatio-temporal graph convolutional model by Lian, Linming, Chen, Ningjiang, Yuan, Xuemei, Lu, Jianbo

“…To meet the low delay requirements for data content access in industrial IoT, efficient content caching strategies need to be designed in the Mobile Edge…”
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Anomaly detection for key performance indicators by fusing self-supervised spatio-temporal graph attention networks by Chen, Ningjiang, Tu, Huan, Zeng, Haoyang, Ou, Yangjie

“…With the development of Artificial Intelligence for IT Operations (AIOps), numerous software and services are monitored by Key Performance Indicators (KPIs)…”
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Semisupervised anomaly detection of multivariate time series based on a variational autoencoder by Chen, Ningjiang, Tu, Huan, Duan, Xiaoyan, Hu, Liangqing, Guo, Chengxiang

“…In a large-scale cloud environment, many key performance indicators (KPIs) of entities are monitored in real time. These multivariate time series consist of…”
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Self-supervised log parsing using semantic contribution difference by Yu, Siyu, Chen, Ningjiang, Wu, Yifan, Dou, Wensheng

“…Logs can help developers to promptly diagnose software system failures. Log parsers, which parse semi-structured logs into structured log templates, are the…”
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FRL-MFPG: Propagation-aware fault root cause location for microservice intelligent operation and maintenance by Chen, Yuhua, Xu, Dongqi, Chen, Ningjiang, Wu, Xu

“…Due to the continuous updates and complex dependencies of microservices, the probability of a fault occurrence and the difficulty of doing a diagnosis have…”
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Brain: Log Parsing with Bidirectional Parallel Tree by Yu, Siyu, He, Pinjia, Chen, Ningjiang, Wu, Yifan

“…Automated log analysis can facilitate failure diagnosis for developers and operators using a large volume of logs. Log parsing is a prerequisite step for…”
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Multivariate time series anomaly detection via dynamic graph attention network and Informer by Huang, Xiangheng, Chen, Ningjiang, Deng, Ziyue, Huang, Suqun

“…In the industrial Internet, industrial software plays a central role in enhancing the level of intelligent manufacturing. It enables the promotion of digital…”
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XDrain: Effective log parsing in log streams using fixed-depth forest by Liu, Changjian, Tian, Yang, Yu, Siyu, Gao, Donghui, Wu, Yifan, Huang, Suqun, Hu, Xiaochun, Chen, Ningjiang

“…Logs record rich information that can help operators diagnose system failure [1]. Analyzing logs in log streams can expedite the diagnostic process and…”
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An optimized task offloading strategy based on deep reinforcement learning combined with channel reliability prediction by Tang, Weicheng, Yang, Yubin, Gao, Donghui, Chen, Juan, Huang, Suqun, Chen, Ningjiang

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