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Zhijiao Xiao - IEEE Xplore Author Profile
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Zhijiao Xiao

Also published under: Zhi-jiao Xiao

Publications
15
Citations
20
Publications by Year
20062025
Co-Authors:
Show All Co-Authors (29)
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Zhijiao Xiao

Also published under: Zhi-jiao Xiao

Affiliation

College of Computer Science and Software Engineering
Shenzhen University
Shenzhen, China

Publication Topics

Biography

Zhijiao Xiao received the PhD degree and specializes in cloud computing, resource management, reinforcement learning, and intelligent optimization. She is an associate professor and master's supervisor with the College of Computer Science and Software Engineering, Shenzhen University. She has led and participated in multiple national, provincial, and municipal research projects, and has published numerous research papers in renowned international academic journals, magazines, conferences, and workshops. Her contributions include several dozen publications in these prestigious venues.(Based on document published on 31 October 2024).
Publications
15
Citations
20
Publications by Year
20062025
Co-Authors:
Show All Co-Authors (29)
Author's Published Works

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Flexible Computing: A New Framework for Improving Resource Allocation and Scheduling in Elastic Computing

Weipeng Cao;Jiongjiong Gu;Zhong Ming;Zhiyuan Cai;Yuzhao Wang;Changping Ji;Zhijiao Xiao;Yuhong Feng;Ye Liu;Liang-Jie Zhang

IEEE Transactions on Services Computing
Year: 2025 | Volume: 18, Issue: 1 | Journal Article |
Since the advent of cloud computing, Elastic Computing (EC) has become the standard architecture for resource allocation and scheduling. EC typically allocates computing resources based on predefined specifications, such as virtual machine or container flavors. However, these flavors are often constrained by fixed CPU-to-memory ratios, which frequently fail to match the actual resource needs of ap...Show More

Flexible Computing: A New Framework for Improving Resource Allocation and Scheduling in Elastic Computing

Weipeng Cao;Jiongjiong Gu;Zhong Ming;Zhiyuan Cai;Yuzhao Wang;Changping Ji;Zhijiao Xiao;Yuhong Feng;Ye Liu;Liang-Jie Zhang

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

A Brief Review on Prediction Methods for Cloud Resource Management

Chenxing Kuang;Yunyun Qiu;Weipeng Cao;Zhijiao Xiao;Zhong Ming

2024 9th IEEE International Conference on Smart Cloud (SmartCloud)
Year: 2024 | Conference Paper |
The complexity of apps running on cloud platforms is evident in their nature. Every application has distinct needs for processing power and memory at various times. In order to effectively cater to tenants’ varied computing requirements while reducing inefficiencies in resource usage, cloud service providers need to be able to predict workload variations with high accuracy and evaluate how cloud a...Show More

A Brief Review on Prediction Methods for Cloud Resource Management

Chenxing Kuang;Yunyun Qiu;Weipeng Cao;Zhijiao Xiao;Zhong Ming

Year: 2024 | Conference Paper |

A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing

Lingjie Li;Qijie Qiu;Zhijiao Xiao;Qiuzhen Lin;Jiongjiong Gu;Zhong Ming

IEEE Transactions on Consumer Electronics
Year: 2024 | Volume: 70, Issue: 1 | Journal Article |
Cited by: Papers (1)
Edge computing is an effective complementary technology to cloud computing, allowing end devices to offload tasks onto edge base stations (BSs) to satisfy the quality of experience of consumers. Due to the limitation of storage and computing resources, a single BS cannot satisfy the heavy computing tasks. In this regard, multi-BS collaboration is an effective way to alleviate this issue. Moreover,...Show More

A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing

Lingjie Li;Qijie Qiu;Zhijiao Xiao;Qiuzhen Lin;Jiongjiong Gu;Zhong Ming

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

An Efficient Service-Aware Virtual Machine Scheduling Approach Based on Multi-Objective Evolutionary Algorithm

Zhijiao Xiao;Qijie Qiu;Lingjie Li;Yuhong Feng;Qiuzhen Lin;Zhong Ming

IEEE Transactions on Services Computing
Year: 2024 | Volume: 17, Issue: 5 | Journal Article |
Cited by: Papers (2)
Service providers tend to deploy application services to several different virtual machines (VMs) to improve the scalability and manageability of the cloud data center (CDC). Therefore, high frequency communication traffic is always involved among those VMs that are deployed the same application service. In order to reduce the communication cost (CC) of CDC, all VMs running the same service should...Show More

An Efficient Service-Aware Virtual Machine Scheduling Approach Based on Multi-Objective Evolutionary Algorithm

Zhijiao Xiao;Qijie Qiu;Lingjie Li;Yuhong Feng;Qiuzhen Lin;Zhong Ming

Year: 2024 | Volume: 17, Issue: 5 | Journal Article |

Protecting Intellectual Property of EEG-based Model with Watermarking

Tianhua Xu;Sheng-hua Zhong;Zhijiao Xiao

2023 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Sharing learned models is crucial in research and the industry’s rapid development and progress. Meanwhile, as the Intellectual Property (IP) of the model proposer, the learned high-performance models must be protected to avoid being illegally copied or redistributed by malicious users. Unfortunately, even though the field of Electroencephalography (EEG) has made significant progress and the model...Show More

Protecting Intellectual Property of EEG-based Model with Watermarking

Tianhua Xu;Sheng-hua Zhong;Zhijiao Xiao

Year: 2023 | Conference Paper |

DScaler: A Horizontal Autoscaler of Microservice Based on Deep Reinforcement Learning

Zhijiao Xiao;Song Hu

2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS)
Year: 2022 | Conference Paper |
Cited by: Papers (6)
With the development of container technology, microservice architecture has become a powerful paradigm for cloud computing with efficient infrastructure management and large-scale service capabilities. Cloud providers require flexible resource management to meet dynamic workloads, such as autoscaling and provisioning. As one of the most popular open-source container orchestration systems, Kubernet...Show More

DScaler: A Horizontal Autoscaler of Microservice Based on Deep Reinforcement Learning

Zhijiao Xiao;Song Hu

Year: 2022 | Conference Paper |

High-Level Video Event Modeling, Recognition, and Reasoning via Petri Net

Zhijiao Xiao;Jianmin Jiang;Zhong Ming

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (5)
A Petri net based framework is proposed for automatic high level video event description, recognition and reasoning purposes. In comparison with the existing approaches reported in the literature, our work is characterized with a number of novel features: (i) the high level video event modeling and recognition based on Petri net are fully automatic, which are not only capable of covering single vi...Show More

High-Level Video Event Modeling, Recognition, and Reasoning via Petri Net

Zhijiao Xiao;Jianmin Jiang;Zhong Ming

Year: 2019 | Volume: 7 | Journal Article |

A flower image retrieval method based on memetic feature selection algorithm

Zhijiao Xiao;Shaoyang Zhou;Meiyuan Cao

2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)
Year: 2018 | Conference Paper |
Contend-based flower image retrieval is one of the hottest and most challenging problem in content-based image retrieval area. In this paper, a flower image retrieval method is proposed based on a memetic algorithm. The proposed method, which combines a global search strategy with a local search strategy, uses a memetic algorithm to select the optimal feature subset. Genetic algorithm is used as t...Show More

A flower image retrieval method based on memetic feature selection algorithm

Zhijiao Xiao;Shaoyang Zhou;Meiyuan Cao

Year: 2018 | Conference Paper |

An efficient block structure for incremental inverted indexing

Shubin Cai;Heming Chen;Zhijiao Xiao;Zhong Ming

2012 IEEE International Conference on Information Science and Technology
Year: 2012 | Conference Paper |
Inverted index is a key component in a search engine. Due to the high update frequency of web pages, incremental inverted index is commonly used in modern web-based search engine. In order to improve the performance of search engine, an efficient data block and control block DB&CB structure for incremental inverted index is proposed. Theoretical analysis and experiment results show that the averag...Show More

An efficient block structure for incremental inverted indexing

Shubin Cai;Heming Chen;Zhijiao Xiao;Zhong Ming

Year: 2012 | Conference Paper |

Optimization of Workflow Pre-Scheduling Based on Nested Genetic Algorithm

Zhijiao Xiao;Zhong Ming;Jianfei Yin

2010 Second International Conference on Multimedia and Information Technology
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Pre-scheduling of workflows is to schedule all tasks of a workflow instance as soon as it is initialized. Based on the study of existing scheduling methods, a new optimization method of workflow pre-scheduling is proposed based on Nested Genetic Algorithm(NGA). The solutions of resource allocation and execution sequence are optimized and global optimization for a single process instance can be app...Show More

Optimization of Workflow Pre-Scheduling Based on Nested Genetic Algorithm

Zhijiao Xiao;Zhong Ming;Jianfei Yin

Year: 2010 | Volume: 1 | Conference Paper |

A Web Performance Modeling Process Based on the Methodology of Learning from Data

Jianfei Yin;Zhong Ming;Zhijiao Xiao;Hui Wang

2008 The 9th International Conference for Young Computer Scientists
Year: 2008 | Conference Paper |
Cited by: Papers (1)
Accurate performance metric models are the key to Web capacity planning related problems. Due to the complexity of Web systems, analytical modeling without integrating the performance testing process is not enough to get accurate metric models. To integrate performance testing and analytical modeling in a systematic way, a Web performance modeling process is presented based on the methodology of l...Show More

A Web Performance Modeling Process Based on the Methodology of Learning from Data

Jianfei Yin;Zhong Ming;Zhijiao Xiao;Hui Wang

Year: 2008 | Conference Paper |

Role-Oriented Workflow Modeling Based on Object Petri Net

Zhijiao Xiao;Zhong Ming;Jianfei Yin

2008 The 9th International Conference for Young Computer Scientists
Year: 2008 | Conference Paper |
Cited by: Papers (1)
Using effective modeling ways can improve the quality of workflow models. A new role-oriented modeling way is presented to set up workflow process models based on object Petri net. The details of each role are encapsulated in a role object net. The interfaces are provided for it to communicate with other roles. The cooperative relationships of roles are described in control object nets. An example...Show More

Role-Oriented Workflow Modeling Based on Object Petri Net

Zhijiao Xiao;Zhong Ming;Jianfei Yin

Year: 2008 | Conference Paper |

Model and Intelligent Algorithm for Workflow Resource Optimization to Minimize Total Flow Time

Tie-nan Deng;Yang Yi;Hui-you Chang;Zhi-jiao Xiao;Atsushi Inoue

2006 International Conference on Machine Learning and Cybernetics
Year: 2006 | Conference Paper |
Cited by: Papers (2)
The total amount of resources in a workflow process is constrained by the cost of employment; meanwhile, the assignment of resources directly decides the average waiting and dealing time of each activity in a workflow. By optimizing the allocation of resources, it can minimize the total flow time of a workflow. Some optimization rules for minimizing the average responding time of a workflow are ad...Show More

Model and Intelligent Algorithm for Workflow Resource Optimization to Minimize Total Flow Time

Tie-nan Deng;Yang Yi;Hui-you Chang;Zhi-jiao Xiao;Atsushi Inoue

Year: 2006 | Conference Paper |

Optimal Allocation of Workflow Resources with Cost Constraint

Zhijiao Xiao;Huiyou Chang;Yang Yi

2006 10th International Conference on Computer Supported Cooperative Work in Design
Year: 2006 | Conference Paper |
How to allocate workflow resources with cost constraint to optimize workflow time performance was studied. The average throughput time of workflow instances is used to measure the workflow time performance. A method based on queuing theory was proposed to calculate the average throughput time of workflow instances. Since the problem can be come down to an unbounded knapsack problem (UKP), an impro...Show More

Optimal Allocation of Workflow Resources with Cost Constraint

Zhijiao Xiao;Huiyou Chang;Yang Yi

Year: 2006 | Conference Paper |

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