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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Bin Gao Zhi Zhou Fangming Liu Fei Xu Key Laboratory of Services Computing Technology and System Huazhong University of Science and Technology China School of Data and Computer Science Sun Yat-Sen University Guangzhou China School of Computer Science and Software Engineering East China Normal University Shanghai China

Mobile Edge computing (MEC) is an emerging computing paradigm in which computational capabilities are pushed from the central cloud to the network edges. However, preserving the satisfactory quality-of-service (QoS) for user applications is non-trivial among multiple densely dispersed yet capacity constrained MEC nodes. This is mainly because both the access network and edge nodes are vulnerable to network congestion. Previous works are mostly limited to optimizing the QoS through dynamic service placement, while ignoring the critical effects of access network selection on the network congestion. In this paper, we study the problem of jointly optimizing the access network selection and service placement for MEC, towards the goal of improving the QoS by balancing the access, switching and communication delay. Specifically, we first design an efficient online framework to decompose the long-term optimization problem into a series of one-shot problems. To address the NP-hardness of the one-shot problem, we further propose an iteration-based algorithm to derive a computation efficient solution. Both rigorous theoretical analysis on the optimality gap and extensive trace-driven simulations validate the efficacy of our proposed solution.

关键词： Cloud computing Delays Quality of service Switches Optimization Edge computing Computer science

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Crosscutting patterns and design stability: An exploratory analysis

Crosscutting patterns and design stability: An exploratory a...

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IEEE Workshop on Program Comprehension

作者： Eduardo Figueiredo Bruno Silva Claudio Sant'Anna Alessandro Garcia Jon Whittle Daltro Nunes Computing Department Lancaster University United Kingdom Institute of Informatics Federal University of Rio Grande do Sul Brazil Computer Science Department Federal University of Bahia (UFBA) Brazil Software Engineering Laboratory Catholic University of Rio de Janeiro Brazil

It is often claimed that inaccurate modularisation of crosscutting concerns hinders program comprehension and, as a consequence, leads to harmful software instabilities. However, recent studies have pointed out that crosscutting concerns are not always harmful to design stability. Hence, software maintainers would benefit from well documented patterns of crosscutting concerns and a better understanding about their actual impact on design stability. This paper presents a catalogue of crosscutting concern patterns recurrently observed in software systems. These patterns are described and classified based on an intuitive vocabulary that facilitates their recognition by software engineers. We analysed instances of the crosscutting patterns in object-oriented and aspect-oriented versions of three evolving programs. The outcomes of our exploratory evaluation indicated that: (i) a certain category of crosscutting patterns seems to be good indicator of harmful instabilities, and (ii) aspect-oriented solutions were unable to modularise concerns matching some crosscutting patterns.

关键词： Stability analysis Pattern analysis software systems software maintenance Scattering Informatics Computer science software engineering Laboratories Vocabulary

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Efficient Data Delivery in Mobile Sensor Networks

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通讯和计算机（中英文版） 2010年第5期7卷 23-29页

作者： Yongping Xiong Jianwei Niu Jian Ma Limin Sun Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University of the Chinese Academy of Sciences Beijing 100039 China School of Computer Science and Engineering Beihang University Beijing 100191 China Nokia Research Center Beijing 100176 China Institute of Software Chinese Academy of Sciences Beijing 100190 China

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Computer-Automated Design of Self-Aligned Multi-Ball Pitch Artifact with High Precision

SSRN

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SSRN 2024年

作者： Zhu, Hongjun Liu, Binghong Zhou, Sen Zhang, Xiaoyan Xin, Liu Chen, Kuo Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China College of Mechanical and Vehicle Engineering Chongqing University Chongqing400044 China Chongqing Academy of Metrology and Quality Inspection Chongqing401121 China School of Engineering Computer and Mathematical Sciences Auckland University of Technology Auckland1010 New Zealand Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China

This study presents a computational methodology for developing a multi-ball system that automatically aligns during assembly processes. The contributions of this work are threefold: Firstly, a comprehensive error analysis of the multi-ball system is performed. It is found that temperature and pressure-induced deformations should not be ignored when micrometer-level precision is required. Secondly, a novel process flow for designing the multi-ball pitch artifact is introduced, which enables optimization decision-making. Lastly, a series of experiments are conducted on standard bearing balls (grade G20). The resulting artifact meets the Class 1 standards. It is reasonable to assume that, by using balls of grade G3 precision, the multi-ball artifact can achieve accuracy at the sub-micrometer level. © 2024, The Authors. All rights reserved.

关键词： Decision making

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Service-oriented software reengineering: Bertie3 as Web services

Service-oriented software reengineering: Bertie3 as Web serv...

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IEEE International Conference on Web Services (ICWS)

作者： S. Chung P.S. Young J. Nelson Computing & Software Systems Institute of Technology University of Washington Tacoma Tacoma WA USA Department of Computer Science College of Engineering University of Illinois Urbana-Champaign Urbana IL USA Interdisciplinary Arts & Sciences University of Washington Tacoma Tacoma WA USA

This research proposes to modernize a legacy software system by using Web services as the main building blocks of the software reengineering. For this purpose, a legacy theorem proof checking and derivation tool called Bertie3 is reengineered in terms of service-oriented architecture, service-oriented componentization, and external data representation and serialization. With the Web services of derivation checking engines and first-order markup languages, a minimal amount of development time can be spent working on well-known and well-developed components. More time can be spent updating the features that make the tool unique. This case study shows that modernizing a software system with Web services will allow the business components of the system to be easily expanded and integrated with other application components for future demands.

关键词： Web services Logic Markup languages Engines software systems Lifting equipment Business Distributed computing User interfaces Graphical user interfaces

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A Four-Pronged Defense Against Byzantine Attacks in Federated Learning

arXiv

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arXiv 2023年

作者： Wan, Wei Hu, Shengshan Li, Minghui Lu, Jianrong Zhang, Longling Zhang, Leo Yu Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia School of Computer Science and Technology Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security China Hubei Engineering Research Center on Big Data Security China Cluster and Grid Computing Lab

Federated learning (FL) is a nascent distributed learning paradigm to train a shared global model without violating users' privacy. FL has been shown to be vulnerable to various Byzantine attacks, where malicious participants could independently or collusively upload well-crafted updates to deteriorate the performance of the global model. However, existing defenses could only mitigate part of Byzantine attacks, without providing an all-sided shield for FL. It is difficult to simply combine them as they rely on totally contradictory assumptions. In this paper, we propose FPD, a four-pronged defense against both non-colluding and colluding Byzantine attacks. Our main idea is to utilize absolute similarity to filter updates rather than relative similarity used in existingI works. To this end, we first propose a reliable client selection strategy to prevent the majority of threats in the bud. Then we design a simple but effective score-based detection method to mitigate colluding attacks. Third, we construct an enhanced spectral-based outlier detector to accurately discard abnormal updates when the training data is not independent and identically distributed (non-IID). Finally, we design update denoising to rectify the direction of the slightly noisy but harmful updates. The four sequentially combined modules can effectively reconcile the contradiction in addressing non-colluding and colluding Byzantine attacks. Extensive experiments over three benchmark image classification datasets against four state-of-the-art Byzantine attacks demonstrate that FPD drastically outperforms existing defenses in IID and non-IID scenarios (with 30% improvement on model accuracy). © 2023, CC BY.

关键词： Classification (of information)

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Rapid delivery e-Health service (RDeHS) platform

Rapid delivery e-Health service (RDeHS) platform

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： W. Liu T. Mundie U. Krieger E. K. Park S. S. Zhu Georgia Gwinnett College School of Science & Technology Lawrenceville USA Computer Science in Communication and Networks University of Bamberg Bamberg Germany College of Computing and Software Engineering Kennesaw State University Marietta USA Department of Computer Science Shantou University Shantou China

ISBN: (纸本)9781509033713

As the e-Health world is geared up for a more efficient rollout of fast healthcare resources, we designed our new Rapid Delivery e-Health Service (RDeHS) platform, which not only streamlines standard conformance through emerging technologies in e-Health resources. This paper reports the evolution in our new architectural approach for the purpose of rapid development and deployment of e-Health services to reduce healthcare costs and enhance quality of care.

关键词： Security Medical services Medical diagnostic imaging Standards Computer architecture Logic gates

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Work in Progress: An AI-Assisted Metaverse for Computer Science Education

Work in Progress: An AI-Assisted Metaverse for Computer Scie...

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IEEE World engineering Education Conference (EDUNINE)

作者： Kin-Hon Ho Yun Hou Chun Fai Carlin Chu Chi-Kong Chan Haoyuan Pan Tse-Tin Chan Department of Computing The Hang Seng University of Hong Kong Hong Kong SAR China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Mathematics and Information Technology The Education University of Hong Kong Hong Kong SAR China

This paper proposes the use of metaverse for computer science education by leveraging virtual reality (VR) and artificial intelligence (AI) technologies. VR glasses are used to record videos such as presentation slides and classroom lectures in the metaverse. AI technologies automatically generate customized class notes summarized from the video recordings. This education metaverse can accommodate students' digital avatars in different virtual workspaces, including collaboration spaces, laboratories, and classrooms. It consists of practical features that mimic a physical classroom setup, such as real-time voice chat, avatar movement, and shared screen presentations. In the metaverse journey, the AI notes generator module is used to create personalized class notes using technologies including optical character recognition, automatic speech recognition, natural language processing, and text-to-speech. We discuss current progress and future work to prototype an AI-assisted metaverse for proof-of-concept experiments in computer science education.

关键词： Metaverse Avatars Optical character recognition Prototypes Real-time systems Generators Natural language processing

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A Hybrid Genetic Algorithm for Vehicle Routing Problems with Dynamic Requests

A Hybrid Genetic Algorithm for Vehicle Routing Problems with...

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IEEE Symposium Series on Computational Intelligence

作者： Ruikang Yi Wenjian Luo Chenyang Bu Xin Lin Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

In this paper, a hybrid Genetic Algorithm (GA) is proposed to solve the Vehicle Routing Problems with Dynamic Requests (VRPDR). The proposed hybrid GA primarily involves the following parts. First, a greedy split is introduced, which is fit for the VRPDR. Second, the adjacent-exchange-based local search is proposed. Third, a novel mutation operator, named the insert mutation, is proposed. The experimental results show that the proposed hybrid GA is effective.

关键词： Dynamic Vehicle Routing Genetic Algorithm Split Algorithm Local Search

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Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

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Intelligent Automation & Soft computing 2023年第10期38卷 57-81页

作者： Emmanuel Lule Chomora Mikeka Alexander Ngenzi Didacienne Mukanyiligira African Center of Excellence in Internet of Things(ACEIoT) College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda Department of Computer Science College of Computing&Information SciencesMakerere UniversityKampala7062Uganda Directorate of Science Technology&Innovation(DSTI)Ministry of EducationMalawiLilongwe328Malawi Department of Computer&Software Engineering College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda National Council for Science&Technology(NCST) Government of RwandaKigali2285Rwanda

Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby *** circuits,arson,and neglected charcoal stoves are the major causes of these *** methods,i.e.,satellites,are expensive to maintain and cause unnecessary ***,unit-smoke detectors are highly prone to false *** this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy *** crisp input parameters,namely:FIT and FIG��are *** show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression *** study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire *** a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false *** informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.

关键词： Interval type-2(IT2)fuzzy systems mean absolute error(MAE) mean square error(MSE) root mean square

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