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the Swarm scalable storage system

The Swarm scalable storage system

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international conference on Distributed Computing systems

作者： J.H. Hartman I. Murdock T. Spalink Department of Computer Science University of Arizona Tucson Tucson AZ USA

Swarm is a storage system that provides scalable, reliable, and cost-effective data storage. Swarm is based on storage servers, rather than file servers; the storage servers are optimized for cost-performance and aggregated to provide high-performance data access. Swarm uses a striped log abstraction to store data on the storage servers. this abstraction simplifies storage allocation, improves file access performance, balances server loads, provides fault-tolerance through computed redundancy, and simplifies crash recovery. We have developed a Swarm prototype using a cluster of Linux-based personal computers as the storage servers and clients; the clients access the servers via the Swarm-based Sting file system. Our performance measurements show that a single Swarm client can write to two storage servers at 3.0 MB/s, while four clients can write to eight servers at 16.0 MB/s.

关键词： File servers Network servers Access protocols File systems computer science Costs Prototypes Fault tolerance Clustering algorithms control systems

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An object based authoring tool for creating SCORM compliant course

An object based authoring tool for creating SCORM compliant ...

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19th international conference on Advanced Information Networking and Applications, AINA 2005

作者： Su, Jun-Ming Tseng, Shian-Shyong Weng, Jui-Feng Chen, Kuan-Ting Liu, Yi-Lin Tsai, Yi-Ta Department of Computer Science and Information Engineering National Chiao Tung University Hsinchu 300 Taiwan Department of Computer Information and Science National Chiao Tung University Hsinchu 300 Taiwan

ISBN: (纸本)0769522491

In recent years, how to reuse and share the teaching materials and instructional experiences among e-learning systems become more and more important. Sharable Content Object Reference Model (SCORM), the most popular international teaching materials standard, uses the metadata to specify the structure of every learning object and proposes the content aggregation scheme to package these objects with XML language format. In 2004, the Sequencing and Navigation (SN) in SCORM 2004 also define the sequencing rules which can be used to control the sequencing, selecting and delivering of learning activity for the desired sequencing behavior. Learning contents in SN is organized into a hierarchical structure, namely Activity Tree (AT). However, for teachers/instructional designers, it is hard to understand the complicated sequencing rules in SN much less using it to construct a SCORM course with desired learning guidance. therefore, how to provide a user-friendly authoring tool to efficiently construct SCORM compliant course becomes an important issue. therefore, in this paper, based upon the concept of Object Oriented Methodology (OOM), the complicated sequencing rules can be modularized into several basic components with corresponding sequencing rules in SN, called Sequencing Object (SO). Each SO is like a middleware, which represents a basic sequencing building block as a cluster in activity tree (AT) with some corresponding sequencing rules on the SCORM view and represents a basic sequencing graph on the users' view. By appropriately combining these SOs, users can easily construct a complex structure of course with desired learning guidance. then, a transformation algorithm is also proposed to firstly transform the created graph based course structure into Activity Tree (AT) with related sequencing rules, and then package the transformed activity tree and related physical learning resources into a SCORM compliant course file. Moreover, the authoring tool can be easily upg

关键词： Codes (standards)

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Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway systems 19th

Joint Optimization of PAoI and Queue Backlog with Energy ...

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19th EAI international conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Shi, Lei Ji, Rui Wei, Zhen Feng, Shilong Li, Zhehao School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9783031545306

Peak Age of Information(PAoI), as a performance indicator representing the freshness of information, has attracted the attention of researchers in recent years. the data packet transmission rate in the LoRa network determines the information freshness level for system packets. In order to study the optimal scheduling of data packets, we try to use the PAoI to describe the real-time level of the end devices(EDs) and reduce it. We use edge servers to process monitoring data packets at the edge of the network to improve the efficiency of EDs and the information freshness level of data. Since packet transmission will be constrained by EDs battery queue energy and gateway queue backlog, we propose an optimization problem that aims to minimize the long-term average PAoI of EDs while ensuring network stability. With the Lyapunov optimization framework, the long-term stochastic optimization problem is transformed into a single-slot optimization problem. Furthermore, to avoid the problem of too large search space, we propose a dynamic strategy space reduction algorithm (SSDR) to shrink the strategy space. the simulation experiments show that our SSDR algorithm can optimize the PAoI index of EDs in various situations and satisfy the constraints of long-term optimization. © ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Scheduling algorithms

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STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar 19th

STAPointGNN: Spatial-Temporal Attention Graph Neural Network...

引用

19th EAI international conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Zhang, Jun Wang, Chunyu Wang, Shunli Zhang, Lihua Academy for Engineering and Technology Fudan University Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China Engineering Research Center of AI and Robotics Ministry of Education Shanghai China Engineering Research Center of AI and Unmanned Vehicle Systems of Jilin Province Changchun China

ISBN: (纸本)9783031545276

Gesture recognition plays a pivotal role in enabling natural and intuitive human-computer interaction (HCI), finding applications in diverse domains such as smart homes, robot control, and virtual reality. thanks to advances in computer vision, the most popular method currently is to use the camera for gesture recognition. However, the camera struggles to function properly in poor lighting and inclement weather, and risks invading privacy. Due to the robust and non-invasive features of millimeter-wave radar, gesture recognition based on millimeter-wave radar has received extensive attention from researchers in recent years. In this paper, we propose a novel graph neural network named STAPointGNN for gesture recognition using millimeter-wave radar. In order to better extract features in the spatial and temporal dimensions of point clouds collected by millimeter-wave radar, we designed a spatial-temporal attention mechanism based on graph neural network. We also propose a novel point flow embedding method to capture the motion features of the point clouds in adjacent frames. To verify the superiority of our method, we conduct experiments on two public millimeter-wave radar gesture recognition datasets. the results show that our model outperforms existing mainstream algorithms. © ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Gesture recognition

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An algorithm for fuzzy control based on shortest-path framework

An algorithm for fuzzy control based on shortest-path framew...

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international conference on Industrial Electronics, control and Instrumentation

作者： M. Chandwani N.S. Chaudhari Department of Computer Engineering Shri Govindram Sakseria Institute of Technology and Science Indore India

In this paper, an algorithm for fuzzy control is presented which is based on the shortest path framework. A fuzzy control system is considered to comprise of a production system with fuzzy propositions representing its states and the fuzzy rules representing state transitions. the algorithm achieves the optimality in the system by finding the reasoning path in a directed acyclic graph representing the system. the reasoning path gives the relationship between the initial state and the goal state leading to the highest fuzzy value to the goal state. the highest fuzzy value is obtained by the shortest path framework working on the modus ponen of fuzzy logic.< >

关键词： Fuzzy control Fuzzy logic Fuzzy sets Fuzzy reasoning Marine vehicles Strontium Equations Production systems Data acquisition control systems

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Optimizing task assignment for heterogeneous multiprocessor system with guaranteed reliability and timing constraint

Optimizing task assignment for heterogeneous multiprocessor ...

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IEEE international conference on Embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Juan Yi Qingfeng Zhuge Jingtong Hu Shouzhen Gu Mingwen Qin Edwin H.-M. Sha College of Computer Science Chongqing University Chongqing China Department of Computer Science University of Texas at Dallas Richardson Texas USA Department of Electrical Engineering The Hong Kong Polytechnic University Hong Kong China

Effective task assignment, which is essential for achieving high performance in a heterogeneous multiprocessor system, remains a challenging problem despite extensive studies. this paper addresses the task assignment problem with guaranteed reliability and timing constraint for heterogeneous multiprocessor system. Inherently, heterogeneous systems are more complex than homogeneous systems. the added complexity could increase the potential for system failures. In this paper, we describe a method to determine an assignment which satisfies the timing constraint and the reliability requirement. We develop an Integer Linear Programming (ILP) formulation to find the optimal solutions. For the general problem, the task assignment problem is NP-Complete. therefore, we propose a polynomial-time heuristic algorithm, DAG Heu algorithm, to solve the general problem. Experimental results on benchmark task graphs of several well-known parallel applications show that the proposed algorithm and the ILP formulation significantly outperform existing algorithms.

关键词： Timing Reliability Multiprocessing systems Heuristic algorithms Mathematical model Computational modeling Equations

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Applying Data Mining to Define TSP Asymptotic Time Complexity

Applying Data Mining to Define TSP Asymptotic Time Complexit...

引用

international conference on Tools for Artificial Intelligence (ICTAI)

作者： Paula Cecilia Fritzsche Dolores Rexachs Emilio Luque Computer Architecture and Operating Systems Department University Autonoma de Barcelona Spain

ISBN: (纸本)9780769530154;076953015X

Computational science is often referred to as the third science,complementing both theoretical and laboratory science. In this field, new challenges are continuously arising. the asymptotic time complexity definition of both deterministic and non-deterministic algorithms to solve all kinds of problems is one of the key points in computer science. Knowing the limit of the execution time of an algorithm when the size of the problem goes to infinity is essential. In particular, data-dependent applications is an extremely challenging problem because for a specific issue the input data sets may cause variability in execution times. the development of an entire approach to define the asymptotic time complexity of a hard data-dependent parallel application that solves the traveling salesman problem (TSP) is the focus of this study. Two different parallel TSP algorithms are presented. One of these is used to show the usefulness and the profits of the proposed approach, and the other one is used as witness. the experimental results are quite promising.

关键词： Data mining Traveling salesman problems computer science Application software computer architecture Laboratories H infinity control Mathematics Concurrent computing Artificial intelligence

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A ROS-Based Autonomous Vehicle Testbed for the Internet of Vehicles

A ROS-Based Autonomous Vehicle Testbed for the Internet of V...

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international conference on Distributed Computing in Sensor systems (DCOSS)

作者： Nikolaos Sarantinoudis George Tsinarakis Lefteris Doitsidis Savvas Chatzichristofis George Arampatzis School of Production Engineering and Management Technical University of Crete Chania Crete Greece Department of Computer Science Intelligent Systems Laboratory (ISLab) Neapolis University Pafos Cyprus

this paper describes the design and implementation procedure of a Robot Operating System (ROS) testbed for research on the concept of Internet of Vehicles and the integration of Digital Twins in autonomous vehicles. the proposed testbed integrates communication devices, sensors, and micro-controllers to collect real-time data from the physical environment, enabling the replication of such systems in a virtual environment using Digital Twins. the framework provides a hands-on approach for researchers and students to understand the operation and control of autonomous vehicles without requiring full-scale vehicles. the interactive and immersive learning experience simulates a real-sized vehicle, allowing users to explore the effects of different control algorithms and sensor configurations. Developed using open-source software such as ROS and low-cost microcontrollers and sensors, the platform is affordable for research and development, providing an engaging and practical learning experience.

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Image visualisation and processing in DOOCS and EPICS

Image visualisation and processing in DOOCS and EPICS

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international conference on Mixed Design of Integrated Circuits and systems (MIXDES)

作者： Piotr Perek Jan Wychowaniak Dariusz Makowski Mariusz Orlikowski Andrzej Napieralski Department of Microelectronics and Computer Science Technical University of Łódž Lodz Poland

the High Energy Physics (HEP) experiments, due to their large scale, required performance and precision, have to be controlled by complex, distributed control systems. the systems are responsible for processing thousands of signals from various sensors of different types. Very often, one of the data sources applied in such systems are visible light/infrared cameras or other imaging sensors. they can provide additional information about studied phenomena, which is not available on the basis of analysis data from other sensors. However, they require dedicated mechanisms for data collecting and processing. Moreover, often the images from cameras should be available to system operator. It needs the support from both operator panels interface and control application which should provide data in the dedicated format. the paper presents two different approaches to image distribution, processing and visualisation applied in distributed control systems. Discussed is the issue of support for cameras and image data implemented in the Distributed Object Oriented control System (DOOCS) and an example control system designed to the needs of image acquisition system on the base of the Experimental Physics and Industrial control System (EPICS) environment.

关键词： Servers Cameras control systems Hardware Data acquisition Sensors Image resolution

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Maximizing online service profit for time-dependent applications

Maximizing online service profit for time-dependent applicat...

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IEEE international conference on Embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Shuhui Li Miao Song Zheng Li Shangping Ren Gang Quan Illinois Institute of Technology Chicago IL US Computer Science Department Illinois Institute of Technology Chicago IL Electrical and Computer Engineering Department Florida International University Miami FL

As computers and Internet technology advance, many time-dependent applications, such as mobile navigation and online gaming, are emerging. Time-dependent applications are associated with a pair of time-dependent functions representing accrued gain at the time when tasks complete or accrued cost when tasks fail to complete, respectively. For systems that provide time-dependent services, the optimization goal is to maximize the system profit when both potential gain and potential cost exist for each request the system accepts. this paper presents two scheduling algorithms, prediction-based highest gain density first (PHGDF) and iterative PHGDF (iPHGDF) scheduling algorithms with the objective to maximize the system's total accrued profit. Simulation results provide clear evidence that, with respect to the system total accrued profit, the proposed PHGDF and iPHGDF algorithms have advantages over other commonly used scheduling algorithm, such as the Earliest Deadline First (EDF), the Generic Utility Scheduling (GUS) and the Profit and Penalty aware scheduling (PP-aware) algorithms.

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