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7th International Workshop on systems and Network Telemetry and Analytics (SNTA)

作者： Postigo, Daniel Herreros, David Baron, Eloy Camarero, Cristobal Fuentes, Pablo Univ Cantabria Santander Cantabria Spain

ISBN: (纸本)9798400706486

A hotspot traffic pattern of communications can be a common phenomenon in HPC topologies that causes significant and lasting network performance degradation. This performance deterioration remains persistent over time, intensifying its impact even after the cessation of the detrimental traffic injection into the network. To understand its causes and effects, we analyze the network behavior under different hotspot traffic scenarios and compare the performance on various topologies. We examine both the performance drop due to traffic flows with endpoint contention, and the recovery process of the network after this phenomenon has occurred, if swift action is taken to mitigate it. Our results show that some topologies are more resilient to hotspot traffic than others, both to reduce the performance drop and/or to accelerate the recovery process. In particular, Flattened Butterfly is more resilient to congestion and consistently demonstrates a rapid recovery. The results of the analysis reinforce the need for mechanisms with effective and expeditious action to reduce the magnitude and duration of the performance drop. Furthermore, they highlight behavioral differences between topologies that can affect the effectiveness of mechanisms using congestion-based metrics.

关键词： High-Performance Interconnection Networks Network Congestion Hotspot Pattern Endpoint Congestion

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Beyond Predefined Interactions: Enhancing Gesture-Based Flexible Robot Interaction through Air-Writing and Large Models Inference

Beyond Predefined Interactions: Enhancing Gesture-Based Flex...

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2025 CHI Conference on Human Factors in computing systems, CHI EA 2025

作者： Han, Huizi He, Wenting Ren, Wei Cao, Jiannong Department of Computing The Hong Kong Polytechnic University Hong Kong Department of Computer Science City University of Hong Kong Hong Kong The Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9798400713958

Gesture is widely used in human-robot interaction, particularly in scenarios where speech is impractical, such as quiet rooms where verbal commands are restricted, noisy factory floors, or for users with speech impairments. However, most existing systems rely on predefined gestures, which limit the flexibility of user expression and increase memory load. In this paper, we present GesFlexiBot, a flexible gesture-based system that enables natural robot control through air-writing. Users can write letters or words in free space to express their wishes, which GesFlexiBot accurately interprets their intents and maps to commands, providing greater freedom than traditional gestures. The system combines camera-based gesture recognition for decoding text with context analysis, where VLMs and object detection provide environmental context. An LLM then infers the correct gesture inputs and user intent, mapping them to executable commands. GesFlexiBot enhances continuous letter decoding and resolves ambiguous relationships between intents and commands, enabling flexible and intuitive robot control. Preliminary experiments demonstrated its capability in three classic human-robot interaction tasks, highlighting its potential for real-world applications. © 2025 Copyright held by the owner/author(s).

关键词： Social robots

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Cloud-Based PMUs for Real-Time Power System Monitoring: Theoretical and Experimental analysis 13

Cloud-Based PMUs for Real-Time Power System Monitoring: Theo...

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13th IEEE International Workshop on Applied measurements for Power systems, AMPS 2023

作者： Allioua, Chemseddine Mingotti, Alessandro Tinarelli, Roberto Peretto, Lorenzo Frigo, Guglielmo Electronic and Information Engineering Alma Mater Studiorum - University of Bologna Department of Electrical Bologna40136 Italy Wabern Lindenweg Bern503084 Switzerland

ISBN: (纸本)9798350312409

The emergence of modern cloud computing has brought a revolution in various fields by providing scalable and readily available computational resources, enabling efficient data processing. These advancements have significantly enhanced the connectivity between local and remote systems, facilitating streamlined data transmission processes. Furthermore, the adoption of Software as a Service models has allowed the hosting of programs and applications in the cloud, offering accessibility, scalability, and cost savings. These advancements have not gone unnoticed in the power system domain. Applications such as monitoring, and protection can take advantage of the improved telecommunication technology. Phasor measurement Units (PMUs) play a vital role in these applications by synchronizing quantities obtained from instrument transformers and computed quantities using precise time stamps. The objective of this paper is to conduct a comprehensive analysis of the pros and cons associated with a cloud-based PMU (CB-PMU) that integrates the PMU Synchrophasor estimation directly into the cloud infrastructure. This approach has received limited attention in existing literature, underscoring the necessity for this in-depth study. The analysis in this paper is both theoretical and experimental. The results allow for a complete assessment of the applicability and the limits of the CB-PMU. © 2023 IEEE.

关键词： Phasor measurement units

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Effects of cognitive load on human cognitive reliability 11

Effects of cognitive load on human cognitive reliability

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11th International Conference on Information systems and computing Technology, ISCTech 2023

作者： Yu, Haiyang Xue, Hongjun Li, Jie Fan, Wenjie Northwestern Polytechnical University School of Aeronautics Xi'an China Beijing Aeronautical Technology Research Center Beijing China

ISBN: (纸本)9798350342406

Human error is the main factor that causes aviation accidents. So far, the human factor has remained the main contributor to flight accidents. As the first generation of HRA(Human Reliability analysis) methods, HCR(Human Cognitive Reliability) model has been verified in multiple industries. The level of cognitive load of a pilot directly affects his flight performance. However, the current three correction factors of the HCR model are not sufficient for a comprehensive assessment of the failure probability of pilot operations. Therefore, cognitive load is introduced as the fourth correction factor of the HCR model in this paper. The HCR model is modified by experimental measurement parameters, and the accuracy of the modified model was proved by verification experiments. © 2023 IEEE.

关键词： Reliability analysis

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Diff in the Loop: Supporting Data Comparison in Exploratory Data analysis 22

Diff in the Loop: Supporting Data Comparison in Exploratory ...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Wang, April Yi Epperson, Will DeLine, Robert Drucker, Steven M. Univ Michigan Ann Arbor MI 48109 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Microsoft Res Redmond WA USA

ISBN: (纸本)9781450391573

Data science is characterized by evolution: since data science is exploratory, results evolve from moment to moment;since it can be collaborative, results evolve as the work changes hands. While existing tools help data scientists track changes in code, they provide less support for understanding the iterative changes that the code produces in the data. We explore the idea of visualizing differences in datasets as a core feature of exploratory data analysis, a concept we call Diff in the Loop (DITL). We evaluated DITL in a user study with 16 professional data scientists and found it helped them understand the implications of their actions when manipulating data. We summarize these findings and discuss how the approach can be generalized to different data science workflows.

关键词： data science programming exploratory data analysis data comparison

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Geoduck: Nanosatellite Constellation Scheduling for Low Latency Event Detection 25

Geoduck: Nanosatellite Constellation Scheduling for Low Late...

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proceedings of the 23rd acm Conference on Embedded Networked Sensor systems

作者： Zhuo Cheng Brandon Lucia Carnegie Mellon University PITTSBURGH PA USA Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)9798400714795

Commercial companies have launched hundreds of small, low-cost nanosatellites for Earth observation tasks, such as monitoring forest fires, landslides, and lake algae. These time-critical events require low-latency detection. Previous work has shown that capture latency, defined as the duration between an event occurrence and a satellite capturing an image covering the event region, is the major latency component. In this work, we ask what the minimum capture latency is under physical orbital dynamics and energy constraints. We first characterize how region location and satellite orbital configuration affect the capture latency. Next, we explore the scheduling of satellite captures when energy constraints prevent the capture of all images. We introduce Geoduck, a satellite capture scheduler specifically designed to minimize capture latency. Geoduck leverages the insight that the timing of many events follows a prior distribution; for example, forest fires are more likely to occur in summer. We analyze the impact of different capture schedules on latency and propose a dynamic programming algorithm to choose the optimal captures. Our evaluation shows that Geoduck reduces capture latency by 1.5--2.1×.

关键词： orbital edge computing

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Using Lock-Free Design for Throughput-Optimized Cache Eviction

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proceedings of the acm on measurement and analysis of computing systems 2025年第2期9卷 1-28页

作者： Dong, Chao Wang, Fang Jiang, Hong Feng, Dan Huazhong University of Science and Technology Key Laboratory of Information Storage System Wuhan National Laboratory for Optoelectronics Engineering Research Center of data storage systems and Technology School of Computer Science and Technology Ministry of Education of China Hubei Wuhan China University of Texas at Arlington Department of Computer Science and Engineering ArlingtonTX United States

In large-scale information systems, storage device performance continues to improve while workloads expand in size and access characteristics. This growth puts tremendous pressure on caches and storage hierarchy in terms of concurrent throughput. However, existing cache eviction policies often struggle to provide adequate concurrent throughput due to their reliance on coarse-grained locking mechanisms and complex data structures. This paper presents a practical approach to cache eviction algorithm design, called Mobius, that optimizes the concurrent throughput of caches and reduces cache operation latency by utilizing lock-free data structures, while maintaining comparable hit ratios. Mobius includes two key designs. First, Mobius employs two lock-free FIFO queues to manage cache items, ensuring that all cache operations are executed efficiently in parallel. Second, Mobius integrates a consecutive detection mechanism that merges multiple modifications during eviction into a single operation, thereby reducing data races. Extensive evaluations using both synthetic and real-world workloads from high-concurrency clusters demonstrate that Mobius achieves a concurrent-throughput improvement ranging from 1.2× to 8.5× over state-of-the-art methods, while also maintaining lower latency and comparable cache hit ratios. The implementation of Mobius in CacheLib and RocksDB highlights its effectiveness in enhancing cache performance in practical scenarios. © 2025 acm.

关键词： Keyways

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A Comprehensive analysis of Security Vulnerabilities and Attacks in Satellite Modems 24

A Comprehensive Analysis of Security Vulnerabilities and Att...

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31st Conference on Computer and Communications Security

作者： Yu, Lingjing Hao, Jingli Ma, Jun Sun, Yong Zhao, Yijun Luo, Bo Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Xingditansuo Co Ltd Beijing Peoples R China Syst Co LTD Sinsegye Shenzhen Comp Shenzhen Peoples R China Univ Kansas Lawrence KS USA

ISBN: (纸本)9798400706363

Satellite modems are critical components in satellite communication networks. Especially, they determine the entire communication regime in traditional systems where the satellites only act as transparent relays. However, unlike satellites that are usually more isolated and better protected, satellite modems are accessible and susceptible to lower-cost attacks, potentially serving as a weak link in the chain of satellite communication security. We make the first attempt to shed light on satellite modem security. We first physically disassemble commodity satellite modems and systematically examine hardware and software modules. We perform a measurement study on the satellite modems that are exposed to the Internet. We identify 16 security vulnerabilities across three attack surfaces: satellite communication interface, ground network interface, and hardware. We further introduce AirSecAnalyzer, an automated security analyzer/fuzzer for the modems' satellite communication interface. Through comprehensive analysis and extensive experiments on 9 real-world satellite modems, we report 18 novel attacks that exploit the identified vulnerabilities. Our findings are expected to contribute as a valuable foundation for future research on the security of satellite modems and satellite communication networks.

关键词： Satellite communication networks satellite modems security

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Haptic Empathy: Investigating Individual Differences in Affective Haptic Communications 25

Haptic Empathy: Investigating Individual Differences in Affe...

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2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Ju, Yulan Meng, Xiaru Taguchi, Harunobu Gunasekaran, Tamil Selvan Hoppe, Matthias Ishikawa, Hironori Tanaka, Yoshihiro Pai, Yun Suen Minamizawa, Kouta Keio University Graduate School of Media Design Yokohama Japan Empathic Computing Lab Auckland Bioengineering Institute University of Auckland Auckland New Zealand JSPS International Research Fellow Tokyo Japan NTT DOCOMO Tokyo Japan Nagoya Institute of Technology Nagoya Japan Inamori Research Institute for Science Kyoto Japan School of Computer Science University of Auckland Auckland New Zealand

ISBN: (纸本)9798400713941

Nowadays, touch remains essential for emotional conveyance and interpersonal communication as more interactions are mediated remotely. While many studies have discussed the effectiveness of using haptics to communicate emotions, incorporating affect into haptic design still faces challenges due to individual user tactile acuity and preferences. We assessed the conveying of emotions using a two-channel haptic display, emphasizing individual differences. First, 24 participants generated 187 haptic messages reflecting their immediate sentiments after watching 8 emotionally charged film clips. Afterwards, 19 participants were asked to identify emotions from haptic messages designed by themselves and others, yielding 593 samples. Our findings suggest potential links between haptic message decoding ability and emotional traits, particularly Emotional Competence (EC) and Affect Intensity Measure (AIM). Additionally, qualitative analysis revealed three strategies participants used to create touch messages: perceptive, empathetic, and metaphorical expression. © 2025 Copyright held by the owner/author(s). Publication rights licensed to acm.

关键词： Haptic interfaces

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SOL: Safe On-Node Learning in Cloud Platforms 27

SOL: Safe On-Node Learning in Cloud Platforms

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27th acm International Conference on Architectural Support for Programming Languages and Operating systems (ASPLOS)

作者： Wang, Yawen Crankshaw, Daniel Yadwadkar, Neeraja J. Berger, Daniel Kozyrakis, Christos Bianchini, Ricardo Stanford Univ Stanford CA 94305 USA Microsoft Res Redmond WA USA Univ Texas Austin Austin TX USA

ISBN: (纸本)9781450392051

Cloud platforms run many software agents on each server node. These agents manage all aspects of node operation, and in some cases frequently collect data and make decisions. Unfortunately, their behavior is typically based on pre-defined static heuristics or offline analysis;they do not leverage on-node machine learning (ML). In this paper, we first characterize the spectrum of node agents in Azure, and identify the classes of agents that are most likely to benefit from on-node ML. We then propose SOL, an extensible framework for designing ML-based agents that are safe and robust to the range of failure conditions that occur in production. SOL provides a simple API to agent developers and manages the scheduling and running of the agent-specific functions they write. We illustrate the use of SOL by implementing three ML-based agents that manage CPU cores, node power, and memory placement. Our experiments show that (1) ML substantially improves our agents, and (2) SOL ensures that agents operate safely under a variety of failure conditions. We conclude that ML-based agents show significant potential and that SOL can help build them.

关键词： Cloud computing on-node agents machine learning for systems systems for machine learning

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