Tsinghua Science and Technology最新文献_第5页

Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives 面向应用的云计算工作量预测：调查与新视角

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010024

Binbin Feng;Zhijun Ding

{"title":"Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives","authors":"Binbin Feng;Zhijun Ding","doi":"10.26599/TST.2024.9010024","DOIUrl":"https://doi.org/10.26599/TST.2024.9010024","url":null,"abstract":"Workload prediction is critical in enabling proactive resource management of cloud applications. Accurate workload prediction is valuable for cloud users and providers as it can effectively guide many practices, such as performance assurance, cost reduction, and energy consumption optimization. However, cloud workload prediction is highly challenging due to the complexity and dynamics of workloads, and various solutions have been proposed to enhance the prediction behavior. This paper aims to provide an in-depth understanding and categorization of existing solutions through extensive literature reviews. Unlike existing surveys, for the first time, we comprehensively sort out and analyze the development landscape of workload prediction from a new perspective, i.e., application-oriented rather than prediction methodologies per se. Specifically, we first introduce the basic features of workload prediction, and then analyze and categorize existing efforts based on two significant characteristics of cloud applications: variability and heterogeneity. Furthermore, we also investigate how workload prediction is applied to resource management. Finally, open research opportunities in workload prediction are highlighted to foster further advancements.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"34-54"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676402","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attack and Defense Game with Intuitionistic Fuzzy Payoffs in Infrastructure Networks 基础设施网络中带有直觉模糊回报的攻防博弈

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010063

Yibo Dong;Jin Liu;Jiaqi Ren;Zhe Li;Weili Li

{"title":"Attack and Defense Game with Intuitionistic Fuzzy Payoffs in Infrastructure Networks","authors":"Yibo Dong;Jin Liu;Jiaqi Ren;Zhe Li;Weili Li","doi":"10.26599/TST.2024.9010063","DOIUrl":"https://doi.org/10.26599/TST.2024.9010063","url":null,"abstract":"Due to our increasing dependence on infrastructure networks, the attack and defense game in these networks has draw great concerns from security agencies. Moreover, when it comes to evaluating the payoffs in practical attack and defense games in infrastructure networks, the lack of consideration for the fuzziness and uncertainty of subjective human judgment brings forth significant challenges to the analysis of strategic interactions among decision makers. This paper employs intuitionistic fuzzy sets (IFSs) to depict such uncertain payoffs, and introduce a theoretical framework for analyzing the attack and defense game in infrastructure networks based on intuitionistic fuzzy theory. We take the changes in three complex network metrics as the universe of discourse, and intuitionistic fuzzy sets are employed based on this universe of discourse to reflect the satisfaction of decision makers. We employ an algorithm based on intuitionistic fuzzy theory to find the Nash equilibrium, and conduct experiments on both local and global networks. Results show that: (1) the utilization of intuitionistic fuzzy sets to depict the payoffs of attack and defense games in infrastructure networks can reflect the unique characteristics of decision makers' subjective preferences. (2) the use of differently weighted proportions of the three complex network metrics has little impact on decision makers' choices of different strategies.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"384-401"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676403","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Passive Metasurface-Based Low Earth Orbit Ground Station Design 基于被动元表面的低地球轨道地面站设计

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2023.9010157

Hao Pan;Lili Qiu

{"title":"Passive Metasurface-Based Low Earth Orbit Ground Station Design","authors":"Hao Pan;Lili Qiu","doi":"10.26599/TST.2023.9010157","DOIUrl":"https://doi.org/10.26599/TST.2023.9010157","url":null,"abstract":"Low Earth Orbit (LEO) satellite communication is vital for wireless systems. The main challenges in designing LEO satellite ground stations include increasing the input signal strength to counteract severe path loss, and adaptively steering the direction of the output signal to accommodate the continuous movement of LEO satellites. To overcome these challenges, we present a novel transceiver system, referred to as MetaLEO. This system integrates a passive metasurface with a small phased array, enabling powerful focusing and adaptive signal steering. By harnessing the metasurface's robust wavefront manipulation capabilities and the programmability of phased arrays, MetaLEO offers an efficient and cost-effective solution that supports both uplink and downlink bands. Specifically, we devise a joint optimization model specifically to obtain the optimal uplink codebook for phased array antennas and metasurface phase profile, which enables electronic steering. In a similar manner, we establish the downlink metasurface phase profile to enhance focusing and signal reception. MetaLEO's efficacy is evaluated via theoretical analysis, simulations, and experiments. Our prototype includes a single metasurface with 21×21 uplink and 22×22 downlink elements, and a 1×4 antenna array for receiving and transmitting. Experimental results show signal strength improvements of 8.32 dB (uplink) and 16.57 dB (downlink).","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"148-160"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum-Inspired Sensitive Data Measurement and Secure Transmission in 5G-Enabled Healthcare Systems 5G 医疗系统中的量子启发式敏感数据测量与安全传输

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010122

Xiaohong Lv;Shalli Rani;Shanmuganathan Manimurugan;Adam Slowik;Yanhong Feng

{"title":"Quantum-Inspired Sensitive Data Measurement and Secure Transmission in 5G-Enabled Healthcare Systems","authors":"Xiaohong Lv;Shalli Rani;Shanmuganathan Manimurugan;Adam Slowik;Yanhong Feng","doi":"10.26599/TST.2024.9010122","DOIUrl":"https://doi.org/10.26599/TST.2024.9010122","url":null,"abstract":"The exponential advancement witnessed in 5G communication and quantum computing has presented unparalleled prospects for safeguarding sensitive data within healthcare infrastructures. This study proposes a novel framework for healthcare applications that integrates 5G communication, quantum computing, and sensitive data measurement to address the challenges of measuring and securely transmitting sensitive medical data. The framework includes a quantum-inspired method for quantifying data sensitivity based on quantum superposition and entanglement principles and a delegated quantum computing protocol for secure data transmission in 5G-enabled healthcare systems, ensuring user anonymity and data confidentiality. The framework is applied to innovative healthcare scenarios, such as secure 5G voice communication, data transmission, and short message services. Experimental results demonstrate the framework's high accuracy in sensitive data measurement and enhanced security for data transmission in 5G healthcare systems, surpassing existing approaches.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"456-478"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676360","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A P4-Based Approach to Traffic Isolation and Bandwidth Management for 5G Network Slicing 基于 P4 的 5G 网络切片流量隔离和带宽管理方法

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010020

Wenji He;Haipeng Yao;Huan Chang;Yunjie Liu

{"title":"A P4-Based Approach to Traffic Isolation and Bandwidth Management for 5G Network Slicing","authors":"Wenji He;Haipeng Yao;Huan Chang;Yunjie Liu","doi":"10.26599/TST.2024.9010020","DOIUrl":"https://doi.org/10.26599/TST.2024.9010020","url":null,"abstract":"With various service types including massive machine-type communication (mMTC) and ultra-reliable low-latency communication (URLLC), fifth generation (5G) networks require advanced resources management strategies. As a method to segment network resources logically, network slicing (NS) addresses the challenges of heterogeneity and scalability prevalent in these networks. Traditional software-defined networking (SDN) technologies, lack the flexibility needed for precise control over network resources and fine-grained packet management. This has led to significant developments in programmable switches, with programming protocol-independent packet processors (P4) emerging as a transformative programming language. P4 endows network devices with flexibility and programmability, overcoming traditional SDN limitations and enabling more dynamic, precise network slicing implementations. In our work, we leverage the capabilities of P4 to forge a groundbreaking closed-loop architecture that synergizes the programmable data plane with an intelligent control plane. We set up a token bucket-based bandwidth management and traffic isolation mechanism in the data plane, and use the generative diffusion model to generate the key configuration of the strategy in the control plane. Through comprehensive experimentation, we validate the effectiveness of our architecture, underscoring its potential as a significant advancement in 5G network traffic management.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"171-185"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676349","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LP-Rounding Based Algorithm for Capacitated Uniform Facility Location Problem with Soft Penalties 基于 LP 轮询的软惩罚容量均匀设施定位问题算法

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010040

Runjie Miao;Chenchen Wu;Jinjiang Yuan

引用次数: 0

CPT: A Configurable Predictability Testbed for DNN Inference in AVs CPT：用于 AV 中 DNN 推断的可配置预测性测试平台

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010037

Liangkai Liu;Yanzhi Wang;Weisong Shi

引用次数: 0

Deep-EERA: DRL-Based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks Deep-EERA：在无人机驱动的超越 5G 网络中基于 DRL 的高能效资源分配

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010071

Shabeer Ahmad;Jinling Zhang;Ali Nauman;Adil Khan;Khizar Abbas;Babar Hayat

{"title":"Deep-EERA: DRL-Based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks","authors":"Shabeer Ahmad;Jinling Zhang;Ali Nauman;Adil Khan;Khizar Abbas;Babar Hayat","doi":"10.26599/TST.2024.9010071","DOIUrl":"https://doi.org/10.26599/TST.2024.9010071","url":null,"abstract":"The rise of innovative applications, like online gaming, smart healthcare, and Internet of Things (IoT) services, has increased demand for high data rates and seamless connectivity, posing challenges for Beyond 5G (B5G) networks. There is a need for cost-effective solutions to enhance spectral efficiency in densely populated areas, ensuring higher data rates and uninterrupted connectivity while minimizing costs. Unmanned Aerial Vehicles (UAVs) as Aerial Base Stations (ABSs) offer a promising and cost-effective solution to boost network capacity, especially during emergencies and high-data-rate demands. Nevertheless, integrating UAVs into the B5G networks presents new challenges, including resource scarcity, energy efficiency, resource allocation, optimal power transmission control, and maximizing overall throughput. This paper presents a UAV-assisted B5G communication system where UAVs act as ABSs, and introduces the Deep Reinforcement Learning (DRL) based Energy Efficient Resource Allocation (Deep-EERA) mechanism. An efficient DRL-based Deep Deterministic Policy Gradient (DDPG) mechanism is introduced for optimal resource allocation with the twin goals of energy efficiency and average throughput maximization. The proposed Deep-EERA method learns optimal policies to conserve energy and enhance throughput within the dynamic and complex UAV-empowered B5G environment. Through extensive simulations, we validate the performance of the proposed approach, demonstrating that it outperforms other baseline methods in energy efficiency and throughput maximization.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"418-432"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676362","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BASIL: Binary Anchor-Based Smart Indoor Localization BASIL：基于二进制锚点的智能室内定位

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010008

Zhe Yang;Yanjun Li;Yufan Zhang;Yun Pan;Chung Shue Chen;Yi-hua Zhu

{"title":"BASIL: Binary Anchor-Based Smart Indoor Localization","authors":"Zhe Yang;Yanjun Li;Yufan Zhang;Yun Pan;Chung Shue Chen;Yi-hua Zhu","doi":"10.26599/TST.2024.9010008","DOIUrl":"https://doi.org/10.26599/TST.2024.9010008","url":null,"abstract":"Indoor localization has been challenging research due to the invalidity of the global navigation satellite system in indoor scenarios. Recent advances in ambient assistive living have shown great power in detecting and locating persons living in their homes, especially using the ON/OFF binary sensors. In this paper, we exploit the Bluetooth low-energy beacons as device-based binary anchors under the lowest transmission power to turn any indoor activity and facility interaction into a binary location indicator. The binary anchors are fused with an extended Kalman filter based pedestrian dead-reckoning using a factor graph optimization, with extra constraints including the normalized magnetic loop closure which is optimized using an attenuation factor, and a rapidly-exploring random tree-based map collision validation. The proposed system provides a cost-effective, scalable, and robust localization for common indoor scenarios. The experimental results show an effective sub-meter precision for the long-term trajectories, and a small amount of anchors is enough for significant calibration in large scenarios.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"1-17"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676357","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Convolutional Neural Network Image Classification Based on Different Color Spaces 基于不同色彩空间的卷积神经网络图像分类

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2024-09-11 DOI: 10.26599/TST.2024.9010001

Zixiang Xian;Rubing Huang;Dave Towey;Chuan Yue

{"title":"Convolutional Neural Network Image Classification Based on Different Color Spaces","authors":"Zixiang Xian;Rubing Huang;Dave Towey;Chuan Yue","doi":"10.26599/TST.2024.9010001","DOIUrl":"https://doi.org/10.26599/TST.2024.9010001","url":null,"abstract":"Although Convolutional Neural Networks (CNNs) have achieved remarkable success in image classification, most CNNs use image datasets in the Red-Green-Blue (RGB) color space (one of the most commonly used color spaces). The existing literature regarding the influence of color space use on the performance of CNNs is limited. This paper explores the impact of different color spaces on image classification using CNNs. We compare the performance of five CNN models with different convolution operations and numbers of layers on four image datasets, each converted to nine color spaces. We find that color space selection can significantly affect classification accuracy, and that some classes are more sensitive to color space changes than others. Different color spaces may have different expression abilities for different image features, such as brightness, saturation, hue, etc. To leverage the complementary information from different color spaces, we propose a pseudo-Siamese network that fuses two color spaces without modifying the network architecture. Our experiments show that our proposed model can outperform the single-color-space models on most datasets. We also find that our method is simple, flexible, and compatible with any CNN and image dataset.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 1","pages":"402-417"},"PeriodicalIF":6.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10676405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0