Loading [MathJax]/extensions/MathZoom.js

Shuaibing Lu - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Shuaibing Lu

Publications

22

Citations

40

Publications by Year

20152025

Co-Authors:

Zhi CaiHuijie ChenYong ChenYuwen CuiXinyu Deng

Show All Co-Authors (34)

Shuaibing Lu

Affiliation

College of Computer Science

Beijing University of Technology

Beijing, China

Publication Topics

Edge Computing,
Edge Server,
Mobile Edge Computing,
Computational Resources,
Deep Reinforcement Learning,
Markov Decision Process,
Service Requests,
Storage Resources,
Bandwidth Resources,
Base Station,
Limited Resources,
Objective Function

Biography

Shuaibing Lu (Member, IEEE) received the PhD degree in computer science and technology from Jilin University, Changchun, in 2019. She is currently a lecturer with the College of Computer Science, Beijing University of Technology. She is supported by the China Scholarship Council as a visiting scholar supervised by Prof. Jie Wu with the Department of Computer and Information Sciences, Temple University (2016–2018). Her current research focuses on distributed computing, cloud computing, and edge computing.(Based on document published on 24 December 2024).

Publications

22

Citations

40

Publications by Year

20152025

Co-Authors:

Zhi Cai
Huijie Chen
Yong Chen
Yuwen Cui
Xinyu Deng

Show All Co-Authors (34)

Author's Published Works

Search History

Showing 1-22 of 22 results

Conferences (15)

Journals (6)

Magazines (1)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Shuaibing Lu(22)
Jie Wu(13)
Juan Fang(11)
Zhiyi Fang(6)
Ning Wang(4)
Faculty of Information Technology, Beijing University of Technology, Beijing, China(9)
Center for Networked Computing, Temple University, USA(6)
College of Computer Science, Beijing University of Technology, Beijing, China(4)
School of Software Engineering, Beijing Jiaotong University, Beijing, China(4)
College of Computer Science and Technology, Jilin University, Changchun, China(3)
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)(2)
IEEE Transactions on Network Science and Engineering(2)
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing(1)
2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)(1)
2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)(1)
IEEE(22)
Honolulu, HI, USA(2)
Ocean Flower Island, China(2)
Guangzhou, China(1)
Kaifeng, China(1)
Kansas City, MO, USA(1)
Computational Resources(8)
Edge Computing(8)
Mobile Edge Computing(8)
Edge Server(7)
Virtual Machines(7)

Select All on Page

Sort By

Results

Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing

Shuaibing Lu;Ran Yan;Jie Wu;Jackson Yang;Xinyu Deng;Shen Wu;Zhi Cai;Juan Fang

IEEE Transactions on Parallel and Distributed Systems

Year: 2025 | Volume: 36, Issue: 3 | Journal Article |

HTML

In cloud data centers, the exponential growth of data places increasing demands on computing, storage, and network resources, especially in multi-tenant environments. While this growth is crucial for ensuring Quality of Service (QoS), it also introduces challenges such as fluctuating resource requirements and static container configurations, which can lead to resource underutilization and high ene...Show More

Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing

Shuaibing Lu;Ran Yan;Jie Wu;Jackson Yang;Xinyu Deng;Shen Wu;Zhi Cai;Juan Fang

IEEE Transactions on Parallel and Distributed Systems

Year: 2025 | Volume: 36, Issue: 3 | Journal Article |

A Novel Spatial-Aware Fast Traffic Vulnerable Areas Recognition for Urban Road Network

Zhi Cai;Xiao Han;Shuaibing Lu;Meihui Shi;Limin Guo;Xing Su

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 3 | Journal Article |

HTML

With the increase in urban traffic congestion, the problem of identifying vulnerable areas of road networks has attracted wide attention. Existing studies have mainly used mediated centrality methods or algorithms based on link analysis to find critical and vulnerable nodes in road network systems through network centrality methods. However, the experimental results of the mediated centrality appr...Show More

A Novel Spatial-Aware Fast Traffic Vulnerable Areas Recognition for Urban Road Network

Zhi Cai;Xiao Han;Shuaibing Lu;Meihui Shi;Limin Guo;Xing Su

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 3 | Journal Article |

QoS-aware Dynamic Service Caching and Updating in Cost-efficient Multi-Access Edge Computing

Shuaibing Lu;Xin Jin;Jie Wu;Shuyang Zhou;Shen Wu;Jackson Yang;Ran Yan

2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

Year: 2024 | Conference Paper |

HTML

In the context of mobile edge computing, achieving dynamic service caching and updating to guarantee the QoS of users and reduce system costs is a challenging problem. However, existing research still has certain deficiencies in considering the dynamic behavior of users and the limited storage resources of edge servers. To address this problem, this paper proposes three novel strategies for the di...Show More

QoS-aware Dynamic Service Caching and Updating in Cost-efficient Multi-Access Edge Computing

Shuaibing Lu;Xin Jin;Jie Wu;Shuyang Zhou;Shen Wu;Jackson Yang;Ran Yan

2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

Year: 2024 | Conference Paper |

Enhanced Profit-Driven Optimization for Flexible Server Deployment and Service Placement in Multi-User Mobile Edge Computing Systems

Juan Fang;Shen Wu;Shuaibing Lu;Ziyi Teng;Huijie Chen;Neal N. Xiong

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

HTML

Edge computing has emerged as a promising paradigm to meet the increasing demands of latency-sensitive and computationally intensive applications. In this context, efficient server deployment and service placement are crucial for optimizing performance and increasing platform profit. This paper investigates the problem of server deployment and service placement in a multi-user scenario, aiming to ...Show More

Enhanced Profit-Driven Optimization for Flexible Server Deployment and Service Placement in Multi-User Mobile Edge Computing Systems

Juan Fang;Shen Wu;Shuaibing Lu;Ziyi Teng;Huijie Chen;Neal N. Xiong

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

Hybrid ASCII Art Extraction Algorithm Based on String Distance

Xiujuan Wang;Xiaotong Wu;Haochen Shi;Shuaibing Lu

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)

Year: 2024 | Conference Paper |

HTML

ASCII art detection and recognition is an important branch of current network information processing. However, due to ASCII art's text-based organization and image-based semantic expression, traditional natural language processing (NLP) and image recognition fail to yield ideal results. This paper designs an ASCII art localization and extraction algorithm based on string distance for highly mixed ...Show More

Hybrid ASCII Art Extraction Algorithm Based on String Distance

Xiujuan Wang;Xiaotong Wu;Haochen Shi;Shuaibing Lu

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)

Year: 2024 | Conference Paper |

Towards Dynamic Request Updating With Elastic Scheduling for Multi-Tenant Cloud-Based Data Center Network

Shuaibing Lu;Jie Wu;Jiamei Shi;Juan Fang;Jiayue Zhang;Haiming Liu

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 2 | Journal Article |

Cited by: Papers (1)

HTML

Serving the ever-growing demand for computation, storage, and networking resources for multi-tenant in cloud computing is an important mission of Data Center Networks (DCNs). In this paper, we study the dynamic request updating problem, and our objective is to maximize the elasticity of cloud-based DCNs while achieving rapid response to multi-tenants. We use virtual clusters under the hose communi...Show More

Towards Dynamic Request Updating With Elastic Scheduling for Multi-Tenant Cloud-Based Data Center Network

Shuaibing Lu;Jie Wu;Jiamei Shi;Juan Fang;Jiayue Zhang;Haiming Liu

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 2 | Journal Article |

QoS-Aware Online Service Provisioning and Updating in Cost-Efficient Multi-Tenant Mobile Edge Computing

Shuaibing Lu;Jie Wu;Pengfan Lu;Ning Wang;Haiming Liu;Juan Fang

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 1 | Journal Article |

Cited by: Papers (4)

HTML

The vigorous development of IoT technology has spawned a series of applications that are delay-sensitive or resource-intensive. Mobile edge computing is an emerging paradigm that provides services between end devices and traditional cloud data centers to users. However, with the continuously increasing investment of demands, it is nontrivial to maintain a higher quality-of-service (QoS) under the ...Show More

QoS-Aware Online Service Provisioning and Updating in Cost-Efficient Multi-Tenant Mobile Edge Computing

Shuaibing Lu;Jie Wu;Pengfan Lu;Ning Wang;Haiming Liu;Juan Fang

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 1 | Journal Article |

Efficient Microservice Deployment with Dependencies in Multi-Access Edge Computing

Shuaibing Lu;Ran Yan;Jie Wu

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

HTML

In the context of mobile edge computing, efficiently deploying microservices to reduce finish time and enhance user service quality is a challenging task. However, existing research still has certain deficiencies in considering microservice deployment within edge server clusters and communication link constraints. To address this issue, we propose three microservice deployment strategies by offeri...Show More

Efficient Microservice Deployment with Dependencies in Multi-Access Edge Computing

Shuaibing Lu;Ran Yan;Jie Wu

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

Profit-driven Optimization of Server Deployment and Service Placement in Multi-User Mobile Edge Computing

Juan Fang;Shen Wu;Shuaibing Lu

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

HTML

Edge computing has emerged as a promising paradigm to fulfill the escalating demands of latency-sensitive and computationally intensive applications. In this context, efficient server deployment and service placement have become imperative to optimize performance and increase platform profit. In this paper, we investigate the problem of server deployment and service placement in a multi-user scena...Show More

Profit-driven Optimization of Server Deployment and Service Placement in Multi-User Mobile Edge Computing

Juan Fang;Shen Wu;Shuaibing Lu

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

An Adaptive Service Placement Strategy Based on Feature Analysis and Trajectory Prediction in Mobile Edge Computing

Juan Fang;Pengfan Lu;Shuaibing Lu

2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

Year: 2023 | Conference Paper |

HTML

Edge computing is the complement of cloud computing which provides low-latency and real-time responsive cloud-like services at the edge of the network. Compared with the abundant resources of cloud computing, edge servers have limited resources and heterogeneous, which brings challenges to efficient service placement for multiple mobile users in edge computing. Moreover, the diversity of end devic...Show More

An Adaptive Service Placement Strategy Based on Feature Analysis and Trajectory Prediction in Mobile Edge Computing

Juan Fang;Pengfan Lu;Shuaibing Lu

2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

Year: 2023 | Conference Paper |

Online Service Provisioning and Updating in QoS-aware Mobile Edge Computing

Shuaibing Lu;Jie Wu;Pengfan Lu;Jiamei Shi;Ning Wang;Juan Fang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

HTML

The vigorous development of IoT technology has spawned a series of applications that are delay-sensitive or resource-intensive. Mobile edge computing is an emerging paradigm which provides services between end devices and traditional cloud data centers to users. However, with the continuously increasing investment of demands, it is nontrivial to maintain a higher quality-of-service (QoS) under the...Show More

Online Service Provisioning and Updating in QoS-aware Mobile Edge Computing

Shuaibing Lu;Jie Wu;Pengfan Lu;Jiamei Shi;Ning Wang;Juan Fang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

Task Scheduling Strategy for Heterogeneous Multicore Systems

Juan Fang;Jiaxing Zhang;Shuaibing Lu;Hui Zhao;Di Zhang;Yuwen Cui

IEEE Consumer Electronics Magazine

Year: 2022 | Volume: 11, Issue: 1 | Magazine Article |

Cited by: Papers (5)

HTML

For heterogeneous computing systems, various types of processor cores cause system performance degradation due to uneven load. In addition, the inability of multitasking to match the appropriate processor core is also an urgent problem. This article proposes a swarm intelligence task scheduling strategy based on the genetic algorithm (GA) for high-performance heterogeneous multicore processors. In...Show More

Task Scheduling Strategy for Heterogeneous Multicore Systems

Juan Fang;Jiaxing Zhang;Shuaibing Lu;Hui Zhao;Di Zhang;Yuwen Cui

IEEE Consumer Electronics Magazine

Year: 2022 | Volume: 11, Issue: 1 | Magazine Article |

A Scheduling Strategy for Reduced Power Consumption in Mobile Edge Computing

Juan Fang;Yong Chen;Shuaibing Lu

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

HTML

The emergence of cloud computing has promoted the explosive growth of applications, however, with the repaid generation of an unprecedented volume and variety of data, the demand for high-quality mobile services with low latency has been increasing. Edge computing is an emerging paradigm that settles some servers on the near-user side and allows some realtime requests from users to be directly ret...Show More

A Scheduling Strategy for Reduced Power Consumption in Mobile Edge Computing

Juan Fang;Yong Chen;Shuaibing Lu

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2020 | Conference Paper |

Exploration on Task Scheduling Strategy for CPU-GPU Heterogeneous Computing System

Juan Fang;Jiaxing Zhang;Shuaibing Lu;Hui Zhao

2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

HTML

For a CPU-GPU heterogeneous computing system, different types of processors have load balancing problems in the calculation process. What's more, multitasking cannot be matched to the appropriate processor core is also an urgent problem to be solved. In this paper, we propose a task scheduling strategy for high-performance CPU-GPU heterogeneous computing platform to solve these problems. For the s...Show More

Exploration on Task Scheduling Strategy for CPU-GPU Heterogeneous Computing System

Juan Fang;Jiaxing Zhang;Shuaibing Lu;Hui Zhao

2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

Year: 2020 | Conference Paper |

Cost-Efficient Resource Provision for Multiple Mobile Users in Fog Computing

Shuaibing Lu;Jie Wu;Yubin Duan;Ning Wang;Juan Fang

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

HTML

Fog computing is an emerging paradigm that brings the computing capabilities close to distributed IoT devices, which provides networking services between end devices and traditional cloud data centers. One important mission is to further reduce the monetary cost of fog resources while meeting the ever-growing demand of multiple users. In this paper, we focus on minimizing the total cost for multip...Show More

Cost-Efficient Resource Provision for Multiple Mobile Users in Fog Computing

Shuaibing Lu;Jie Wu;Yubin Duan;Ning Wang;Juan Fang

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2019 | Conference Paper |

High-Elasticity Virtual Cluster Placement in Multi-Tenant Cloud Data Centers

Shuaibing Lu;Jie Wu;Zhiyi Fang

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

HTML

In recent years, Data Center Network (DCN) has become a promising and efficient data processing infrastructure for cloud computing. One important mission of DCN is to serve the ever-growing demand for computation, storage, and networking for multiple tenants in cloud computing. This paper uses the notion of elasticity to measure the potential growth of multiple tenants in terms of both computation...Show More

High-Elasticity Virtual Cluster Placement in Multi-Tenant Cloud Data Centers

Shuaibing Lu;Jie Wu;Zhiyi Fang

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Year: 2019 | Conference Paper |

Cost-Efficient Resource Provisioning in Delay-Sensitive Cooperative Fog Computing

Shuaibing Lu;Jie Wu;Yubin Duan;Ning Wang;Zhiyi Fang

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2018 | Conference Paper |

Cited by: Papers (4)

HTML

Recently, fog computing has become a highly virtualized platform that provides computation, storage, and networking services between end devices and traditional cloud data centers. In this paper, we address the resource provision (RP)problem for delay-sensitive users in cooperative fog computing. Our objective is to find a feasible provision scheme that minimizes the total monetary cost proportion...Show More

Cost-Efficient Resource Provisioning in Delay-Sensitive Cooperative Fog Computing

Shuaibing Lu;Jie Wu;Yubin Duan;Ning Wang;Zhiyi Fang

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2018 | Conference Paper |

On Maximum Elastic Scheduling of Virtual Machines for Cloud-Based Data Center Networks

Jie Wu;Shuaibing Lu;Huanyang Zheng

2018 IEEE International Conference on Communications (ICC)

Year: 2018 | Conference Paper |

Cited by: Papers (4)

HTML

Task resource allocation has always been an important issue in cloud-based data center networks (DCNs). This paper considers provisioning the maximum admissible load (MAL) of virtual machines (VMs) in physical machines (PMs) with underlying tree-structured DCNs using the hose model for communication. The limitation of static load distribution is that it assigns tasks to nodes in a once-and-for-all...Show More

On Maximum Elastic Scheduling of Virtual Machines for Cloud-Based Data Center Networks

Jie Wu;Shuaibing Lu;Huanyang Zheng

2018 IEEE International Conference on Communications (ICC)

Year: 2018 | Conference Paper |

Online provisioning for virtual clusters in multi-tenant cloud data center network

Shuaibing Lu;Zhiyi Fang;Jie Wu

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2018 | Conference Paper |

HTML

The rapid development of cloud computing and high demands from network operators require strong support from the underlying data centers. Therefore, the effectiveness of using physical resources has become a target for operators and researchers. This paper discusses the online virtual cluster provision problem with multi-tenant in DCNs, which aims to determine when and where the virtual clusters a...Show More

Online provisioning for virtual clusters in multi-tenant cloud data center network

Shuaibing Lu;Zhiyi Fang;Jie Wu

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2018 | Conference Paper |

Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks

Shuaibing Lu;Zhiyi Fang;Jie Wu;Guannan Qu

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (3)

HTML

Data center networks (DCNs) have become more extensively applied in cloud computing in recent years. One important mission for DCNs is satisfying the fluctuation of on-demand resources for tenants. During the scaling of virtual clusters (VCs), existing works fail to fully consider placement techniques and the elasticity of the physical resource in the DCN at the same time. To address this, we use ...Show More

Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks

Shuaibing Lu;Zhiyi Fang;Jie Wu;Guannan Qu

Year: 2018 | Volume: 6 | Journal Article |

Elastic scaling of virtual clusters in cloud data center networks

Shuaibing Lu;Zhiyi Fang;Jie Wu;Guannan Qu

2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

HTML

Data Center Networks (DCNs) have become more extensively applied in cloud computing in recent years. One important mission for DCNs is to satisfy the fluctuation of on-demand resources for tenants. Existing works fail to fully consider the placement techniques and the elasticity of the physical resource in the DCN at the same time during the scaling of virtual clusters (VCs). To address this, we u...Show More

Elastic scaling of virtual clusters in cloud data center networks

Shuaibing Lu;Zhiyi Fang;Jie Wu;Guannan Qu

2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)

Year: 2017 | Conference Paper |

ETBAC-Based Model in Media Oriented System Transport Network

Shuaibing Lu;Zhiyi Fang;Guannan Qu;Song Gao

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing

Year: 2015 | Conference Paper |

Cited by: Papers (1)

HTML

With the development of network communicationtechnology, combination between network and automotiveelectronics industry has more and more extensively. The mainpoints on performance evaluation for this kind of multi-functionnetwork are bandwidth, resource utilization, security andreliability. Through the analysis of automotive electronicsnetwork topology and characteristic information transmissionp...Show More

ETBAC-Based Model in Media Oriented System Transport Network

Shuaibing Lu;Zhiyi Fang;Guannan Qu;Song Gao

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing

Year: 2015 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.