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LI2: A New Learning-Based Approach to Timely Monitoring of Points-of-Interest With UAV
Ziyao Huang;Weiwei Wu;Kui Wu;Hang Yuan;Chenchen Fu;Feng Shan;Jianping Wang;Junzhou Luo
Unmanned aerial vehicles (UAVs) play a critical role in disaster response, swiftly gathering information from various points-of-interest (PoIs) across extensive areas. The freshness of this information is measured by the age of information (AoI), representing the time since the latest information acquisition of a specific PoI. However, devising AoI-minimizing routes for UAVs in obstructed post-dis...Show More
A Multi-Drone Task Allocation Algorithm for Large-Scale 3D Reconstruction
Yu Xia;Anmin Li;Xueyong Xu;Yuhang Xu;Jinchen Wang;Vincent Chau;Chenchen Fu;Weiwei Wu
2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD)
Year: 2024 | Conference Paper |
Unmanned Aerial Vehicles (UAVs) are widely used for urban image capture and large-scale 3D model reconstruction due to their cost-effectiveness and versatility. However, multi-UAV operations are limited by communication and battery constraints when covering large-scale areas. To mitigate these challenges, a common approach is to divide the target area into sub-regions and use multiple UAVs to proc...Show More
AoI Optimization in Multi-Source Update Network Systems Under Stochastic Energy Harvesting Model
Sujunjie Sun;Weiwei Wu;Chenchen Fu;Xiaoxing Qiu;Junzhou Luo;Jianping Wang
This work studies the Age-of-Information (AoI) optimization problem in the information-gathering wireless network systems, where time-sensitive data updates are collected from multiple information sources, and each source is equipped with a battery and harvests energy from ambient energy, such as solar, wind, etc. The arrival of the harvested energy can be modeled as the stochastic process, and an...Show More
Joint Device Charging and Fresh Data Retrieval With Mobile Edge Device in Wireless-Powered IoT Systems
Xiaoxing Qiu;Chenchen Fu;Weiwei Wu;Zining Zhou;Sujunjie Sun;Yuanyuan Song;Song Han
Introducing mobile edge devices in IoT systems for real-time data retrieval can reduce energy consumption and human interaction, and thus has attracted significant research attentions in recent years. In the meanwhile, leveraging mobile edge device(s) to charge the sensor devices in proximity through RF-based Wireless Energy Transfer (WET) technologies can provide controllable and stable energy su...Show More
AoI-Guaranteed Bandit: Information Gathering Over Unreliable Channels
Ziyao Huang;Weiwei Wu;Chenchen Fu;Vincent Chau;Xiang Liu;Jianping Wang;Junzhou Luo
In many IoT applications, information needs to be gathered from multiple heterogeneous sources to the base station for real-time processing and follow-up actions. Undoubtedly, information freshness, measured by age of information (AoI), is critical in taking responsive actions. Recent studies have taken AoI into the consideration of transmission scheduling over wireless channels. However, existing...Show More
Fresh Data Retrieval With Speed-Adjustable Mobile Devices in Cyber-Physical Systems
Chenchen Fu;Xiaoxing Qiu;Vincent Chau;Zelin Yun;Chun Jason Xue;Weiwei Wu;Junzhou Luo;Song Han
Mobile devices have been increasingly deployed in large-scale cyber-physical systems (CPS) to traverse the field and retrieve various data measurements from designated physical entities with stringent performance requirements. This work studies the Availability-constrained real-time Fresh Data Retrieval problem in CPS with a Speed Adjustable mobile device (AFDR-SA). The goal is to maintain the tem...Show More
B2-Bandit: Budgeted Pricing With Blocking Constraints for Metaverse Crowdsensing Under Uncertainty
Xiang Liu;Yifan Qin;Weiwei Wu;Chenchen Fu;Yan Lyu;Fang Dong;Junzhou Luo
Metaverse has been viewed as the next generation of human-computer interaction, which requires collecting information from both the physical and virtual world. One potential way is to employ virtual service providers (VSPs) to finish collection tasks by designing posted-pricing mechanisms via the crowdsensing platform. As VSPs’ costs and values are usually unknown, learning the optimal posted-pric...Show More
Minimizing AoI of Non-Uniform Multi-Source Real-Time Data Updates: Model Generalization, Analysis and Performance Evaluation
Xiaoxing Qiu;Weiwei Wu;Chenchen Fu;Zelin Yun;Vincent Chau;Song Han
2023 IEEE Real-Time Systems Symposium (RTSS)
Year: 2023 | Conference Paper |
This work studies the non-uniform multi-source data update problem for real-time monitoring systems, where a set of heterogeneous data sources transmit their updates to a Base Station (BS) through wire or wireless channel(s). The performance metric called Age of Information (AoI) - which measures the time elapsed since the last data update of each source received by the BS - is commonly used to qu...Show More
Energy-aware Age Optimization: AoI Analysis in Multi-source Update Network Systems Powered by Energy Harvesting
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This work studies the Age-of-Information (AoI) minimization problem in information-gathering network systems, where time-sensitive data updates are collected from multiple information sources, which are equipped with a battery and harvest energy from ambient energy sources. In such systems, an information source can deliver its data update only when 1) there is energy in the battery; and 2) this s...Show More
Optimizing Worst Case Data Freshness in RF-Powered Networked Embedded Systems
Zimeng Zhou;Chenchen Fu;Chun Jason Xue;Song Han;Wei Zhang;Lei Ju
Maintaining real-time data freshness plays a critical role in ensuring system correctness and optimizing the system performance in networked embedded systems (NESs). To quantitatively measure the freshness of the collected real-time data, the concept of Age of Information (AoI) has been extensively studied in recent years. This article explores how to minimize the worst case AoI of real-time data ...Show More
Budget-Feasible Mechanisms in Two-Sided Crowdsensing Markets: Truthfulness, Fairness, and Efficiency
Xiang Liu;Chenchen Fu;Weiwei Wu;Minming Li;Wanyuan Wang;Vincent Chau;Junzhou Luo
In a crowdsensing platform, users are invited to provide data services, and multiple requesters compete for desired services. Due to users’ costs of providing services, it is critical to design incentive mechanisms to incentivize users with (monetary) rewards. Meanwhile, requesters may have individual budgets and compete for services with different procurement abilities. Such a setting falls into ...Show More
Throughput Maximization in Wireless Communication Systems Powered by Hybrid Energy Harvesting
Chenchen Fu;Xinhang Lu;Xiaoxing Qiu;Sujunjie Sun;Xueyong Xu;Weiwei Wu;Chun Jason Xue;Song Han
Energy harvesting techniques have been increasingly employed in both consumer and industrial applications to provide clean energy supply. Among the many available energy harvesting techniques, ambient energy harvesting (AEH) is a promising one as it harvests free energy from the environment and, thus, is economically efficient. AEH techniques, however, heavily depend on the dynamic environment and...Show More
Composite Resource Scheduling for Networked Control Systems
Peng Wu;Chenchen Fu;Tianyu Wang;Minming Li;Yingchao Zhao;Chun Jason Xue;Song Han
Real-time end-to-end task scheduling in networked control systems (NCSs) requires the joint consideration of both network and computing resources to guarantee the desired quality of service (QoS). This paper introduces a new model for composite resource scheduling (CRS) in real-time networked control systems, which considers a strict execution order of sensing, computing, and actuating segments ba...Show More
Keep Fresh: Real-Time Data Retrieval with Speed Adaptation in Mobile Cyber-Physical Systems
Chenchen Fu;Xiaoxing Qiu;Zelin Yun;Song Han;Weiwei Wu;Chun Jason Xue
Mobile devices have been increasingly deployed in large-scale cyber-physical systems (CPS) to traverse the field and retrieve data measurements from designated physical entities with stringent performance requirements. This work studies the availability-constrained real-time data retrieval problem in CPS with a speed adjustable mobile device (AFDR-SA). The goal is to maintain the temporal validity...Show More
iTRIM: I/O-Aware TRIM for Improving User Experience on Mobile Devices
Yu Liang;Cheng Ji;Chenchen Fu;Rachata Ausavarungnirun;Qiao Li;Riwei Pan;Siyu Chen;Liang Shi;Tei-Wei Kuo;Chun Jason Xue
TRIM is a recommended command to deliver data invalidation information of the file system to flash storage. It is issued on both system level and device level. Since it can reduce the number of data copies during device-level garbage collection (DGC), TRIM has been widely used to improve the endurance and performance of mobile devices. Contrary to the common belief, this work identifies that the d...Show More
Read-Ahead Efficiency on Mobile Devices: Observation, Characterization, and Optimization
Yu Liang;Riwei Pan;Yajuan Du;Chenchen Fu;Liang Shi;Tei-Wei Kuo;Chun Jason Xue
IEEE Transactions on Computers
Cited by: Papers (3)
Read-ahead schemes have been widely used in page cache to improve read performance of Linux systems. As the Android system inherits the Linux kernel, the traditional read-ahead scheme is directly transplanted to mobile devices. However, request sizes and page cache sizes on mobile devices are much smaller, which may degrade read-ahead efficiency and therefore hurt user experience. This article fir...Show More
This paper studies how to maintain real-time data freshness in the emerging wireless powered communication networks (WPCNs). In a WPCN, one or multiple hybrid access points (HAPs) with constant power supply transfer the energy and receive the status update through wireless to and from a set of distributed sensor nodes simultaneously. We utilize the concept of Age of Information (AoI) to quantitati...Show More
Energy-Constrained Data Freshness Optimization in Self-Powered Networked Embedded Systems
This article explores how to optimize the freshness of real-time data for energy harvesting (EH)-based networked embedded systems (NESs) with energy constraints. We introduce the concept of age of information (AoI) to quantitatively measure the data freshness and present a comprehensive analysis on the average AoI of the real-time data with stochastic update arrival and energy replenishment patter...Show More
Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs
Chao Wu;Cheng Ji;Qiao Li;Congming Gao;Riwei Pan;Chenchen Fu;Liang Shi;Chun Jason Xue
IEEE Transactions on Computers
Cited by: Papers (14)
Merging technique is widely adopted by I/O schedulers to maximize system I/O throughput. However, I/O merging could increase the latency of individual I/O, thus incurring prolonged I/O latencies and enlarged performance variations. Even with better system throughput, higher worst-case latency experienced by some requests could block the SSD storage system, which violates the QoS (Quality of Servic...Show More
Transmit or Discard: optimizing Data Freshness in Networked Embedded Systems with Energy Harvesting Sources
2019 56th ACM/IEEE Design Automation Conference (DAC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
This paper explores how to optimize the freshness of real-time data in energy harvesting based networked embedded systems. We introduce the concept of Age of Information (AoI) to quantitatively measure the data freshness and present a comprehensive analysis on the average AoI of the real-time data with stochastic update arrival and energy replenishment rates. Both an optimal offline solution and a...Show More
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join(Extended Abstract)
Zimeng Zhou;Chenyun Yu;Sarana Nutanong;Yufei Cui;Chenchen Fu;Chun Jason Xue
2019 IEEE 35th International Conference on Data Engineering (ICDE)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Hardware acceleration through field programmable gate arrays (FPGAs) has recently become a technique of growing interest for many data-intensive applications. Join query is one of the most fundamental database query types useful in relational database management systems. However, the available solutions so far have been beset by higher costs in comparison with other query types. In this paper, we ...Show More
Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints
Chenchen Fu;Qiangqiang Liu;Peng Wu;Minming Li;Chun Jason Xue;Yingchao Zhao;Jingtong Hu;Song Han
Maintaining the temporal validity of real-time data in cyber-physical systems is of critical importance to ensure the correct decision making and appropriate system operation. Most existing work on real-time data retrieval assume that the real-time data under study are always available for retrieval, and the developed scheduling algorithms mainly focus on making real-time decisions while meeting t...Show More
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join
Zimeng Zhou;Chenyun Yu;Sarana Nutanong;Yufei Cui;Chenchen Fu;Chun Jason Xue
Hardware acceleration through field programmable gate arrays (FPGAs) has recently become a technique of growing interest for many data-intensive applications. Join query is one of the most fundamental database query types useful in relational database management systems. However, the available solutions so far have been beset by higher costs in comparison to other query types. In this paper, we de...Show More
Work-in-Progress: Joint Network and Computing Resource Scheduling for Wireless Networked Control Systems
Peng Wu;Chenchen Fu;Minming Li;Yingchao Zhao;Chun Jason Xue;Song Han
2018 IEEE Real-Time Systems Symposium (RTSS)
Year: 2018 | Conference Paper |
Real-time task scheduling for wireless networked control systems provides guarantees for the quality of service. This paper introduces a new model for joint network and computing resource scheduling (JNCRS) in real-time wireless networked control systems. This new end-to-end real-time task model considers a strict execution order of segments including the sensing, the computing and the actuating s...Show More
Work-in-Progress: Maximizing I/O throughput and Minimizing Performance Variation via Reinforcement Learning based I/O Merging for SSDs
2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Merge technique is widely adopted by I/O schedulers to maximize system I/O throughput. However merging operation could degrade the latency of individual I/O, thus incurring prolonged I/O latencies and enlarged I/O variations of I/O requests. In this case, the requirement of QoS (Quality of Service) performance will be violated. In order to improve QoS performance meanwhile providing high I/O throu...Show More
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