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检索条件"任意字段=25th IEEE International Conference on Distributed Computing Systems"

共 12784 条记录，以下是131-140 订阅

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Mobile Robot Dispersion in Continuous Space 8

Mobile Robot Dispersion in Continuous Space

引用

8th international conference on Robotic computing

作者： Dudash, Andrew Andrew Dudash Noblis 2002 Edmund Halley Dr Reston VA 20191 USA

Autonomous machines are expected to work in unknown environments where machines may be destroyed or reinforced. We model a continuous version of the mobile-agent dispersion problem and simulate the dynamic response wh... 详细信息

ISBN: (纸本)9798331521561;9798331521554

关键词： distributed systems mobile agents in graphs multi-agent systems robot dispersion

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Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads? 25

Does Varying BeeGFS Configuration Affect the I/O Performance...

引用

25th ieee international conference on Cluster computing (CLUSTER)

作者： Borkar, Arnav Tony, Joel Vamsi, Hari K. N. Barman, Tushar Bhisikar, Yash Sreenath, T. M. Paul, Arnab K. BITS Pilani KK Birla Goa Campus Pilani Rajasthan India

ISBN: (纸本)9798350370621

the increasing gap between processor and disk performance leads to high performance computing (HPC) applications facing I/O bottlenecks. this makes parallel file systems one of the most important components in an HPC cluster. this work analyzes the I/O performance of different workloads for various BeeGFS configurations. Our analysis shows that the default allocation strategies and striping configuration leads to an imbalanced distribution of workload data, thereby negatively affecting the I/O performance.

关键词： BeeGFS High Performance computing Parallel File System

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Spatiotemporal Data Access for Map Services based on R-star tree index and LSM tree 28

Spatiotemporal Data Access for Map Services based on R-star ...

引用

28th ieee international conference on Intelligent Engineering systems (INES)

作者： Gatial, Emil Balogh, Zoltan Dolatabadi, Sepideh Hassankhani Slovak Acad Sci Inst Informat Dept Parallel & Distributed Comp Bratislava Slovakia Slovak Acad Sci Inst Informat Dept Modelling & Control Discrete Proc Bratislava Slovakia

ISBN: (纸本)9798350367607;9798350367591

the paper proposed an approach to building a scalable service for spatiotemporal data storage to be used in applications that require searching for localized data and possibility of scaling up the storage resources. the motivation for proposing this approach was enabling the localized data being overlayed over the map, while transferring only required data and minimize the latency time. the paper describes the architecture combining the R-star tree index and Log Structured Merge (LSM) tree methods. the implementation framework based on Erlang OTP is proposed to provide a basis for sustainability and resiliency.

关键词： Spatiotemporal database R-star tree LSM tree map services

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Queue-aware Network Control Algorithm with a High Quantum computing Readiness-Evaluated in Discrete-time Flow Simulator for Fat-Pipe Networks 25

Queue-aware Network Control Algorithm with a High Quantum Co...

引用

ieee 25th international conference on High Performance Switching and Routing (HPSR)

作者： Witt, Arthur Univ Stuttgart Inst Commun Networks & Comp Engn Stuttgart Germany

ISBN: (纸本)9798350363869;9798350363852

the emerging technology of quantum computing has the potential to change the way how problems will be solved in the future. this work presents a centralized network control algorithm executable on already existing quantum computer which are based on the principle of quantum annealing like the D-Wave AdvantageT. We introduce a resource reoccupation algorithm for traffic engineering in wide-area networks. the proposed optimization algorithm changes traffic steering and resource allocation in case of overloaded transceivers. Settings of active components like fiber amplifiers and transceivers are not changed for the reason of stability. this algorithm is beneficial in situations when the network traffic is fluctuating in time scales of seconds or spontaneous bursts occur. Further, we developed a discrete-time flow simulator to study the algorithm's performance in wide-area networks. Our network simulator considers backlog and loss modeling of buffered transmission lines. Concurring flows are handled equally in case of a backlog. this work provides an ILP-based network configuring algorithm that is applicable on quantum annealing computers. We showcase, that traffic losses can be reduced significantly by a factor of 2 if a resource reoccupation algorithm is applied in a network with bursty traffic. As resources are used more efficiently by reoccupation in heavy load situations, overprovisioning of networks can be reduced. thus, this new form of network operation leads toward a zero-margin network. We show that our newly introduced network simulator enables analyses of short-time effects like buffering within fat-pipe networks. As the calculation of network configurations in real-sized networks is typically time-consuming, quantum computing can enable the proposed network configuration algorithm for application in realsized wide-area networks.

关键词： integer linear program network automation network simulation optical fat-pipe networks quantum computing resource allocation zero-margin networks

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Effective DDoS security scheme for mobile cloud computing systems 13

Effective DDoS security scheme for mobile cloud computing sy...

引用

13th IFIP/ieee international conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)

作者： Ishak, Chaima Ben Saied, Yosra ISSAT Mateur Higher Inst Appl Sci & Technol Mateur Mateur Tunisia Carthage Univ Carthage Tunisia

ISBN: (纸本)9798331515935;9783903176690

With the increasing use of mobile Cloud computing systems (MCC) in various domains, including offices, homes, hospitals, and transportation, distributed Denial of Service (DDoS) attacks have become more frequent and complex, posing new challenges and risks. therefore, enhancing the three defense mechanisms (prevention, detection, and mitigation) is crucial. In this paper, we propose a machine-learning model that utilizes neural network techniques, such as an Evolutionary recurrent self-organizing map (ERSOM), in combination with a K-means classifier to detect botnet attacks and ensure the establishment of all defense mechanisms in mobile cloud computing system. Our performance results demonstrate the effectiveness of the proposed adaptive ERSOM model compared with the literature.

关键词： Mobile Cloud computing Neural network DDoS Detection Prevention Mitigation

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Migration of Isolated Application Across Heterogeneous Edge systems 8

Migration of Isolated Application Across Heterogeneous Edge ...

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8th ieee international conference on Fog and Edge computing (ICFEC)

作者： Kreutzer, Marius Scidler, Maximilian Dudzik, Konstantin Betancourt, Victor Pazmino Becker, Jurgen FZI Res Ctr Informat Technol Karlsruhe Germany Siemens AG Technol Erlangen Germany

ISBN: (纸本)9798350361360;9798350361353

distributed computing capabilities at the network's edge enable new use cases, e.g., smart factories, industrial internet of things, or autonomous mobility systems. While new applications evolve, managing the resources and being capable of integrating and adjusting the execution of tasks in a distributed edge infrastructure is of great importance. For this, applications need to be migrated between different nodes. these migrations must happen without interruption, allowing the system to meet service requirements while fully utilizing all available hardware resources. therefore, applications should also be executable on all different compute nodes in a heterogeneous edge system without interfering with each other. To this end, applications should be granted only necessary permission, especially when un-trusted applications are integrated into the system. We, therefore, propose a migration method for isolated applications across heterogeneous compute nodes in service-oriented edge architectures. A service-oriented architecture is used to decouple applications, allowing for flexible scheduling. the migration method enables the fast migration of sandboxed applications based on WebAssembly by utilizing a two-stage migration approach. the concept can utilize multiple communication protocols for management and service communication. We have implemented a proof of concept based on the Zenoh(1) communication protocol. While the time required depends on the communication protocol and the memory size, we achieved migration delays of under 51 milliseconds for smaller applications. By providing a method for fast migration for applications across heterogeneous compute nodes, it is possible for distributed edge infrastructures to run applications independently from each other and adjust the execution node based on changes in the system's environment. By integrating applications into our framework, they are executed isolated and with strict access control, allowing for easier reuse

关键词： Edge computing Migration Heterogeneous System Runtime

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indexPDT: A High Scalable distributed Classification Approach with Novel Cache Structure for Geo-location 25

indexPDT: A High Scalable Distributed Classification Approac...

引用

25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Sun, Zhijie Li, Jing Xie, Jun Zheng, Binfan Zeng, Li Zhao, Rongqian Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350330014

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. the geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. the cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively. © 2023 ieee.

关键词： Location

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On the integration of DDS and AFDX standards 30

On the integration of DDS and AFDX standards

引用

30th ieee international conference on Embedded and Real-Time computing systems and Applications (RTCSA)

作者： Perez, Hector Gutierrez, J. Javier Univ Cantabria Software Engn & Real Time Grp Santander Spain

ISBN: (纸本)9798350387964;9798350387957

Standard distribution middleware has traditionally been perceived as complex software which is not suitable for satisfying the highest certification criteria in safety-critical environments. However, this idea is slowly changing and there are efforts such as the Future Airborne Capability Environment (FACE) consortium to integrate standard distribution middleware into the development of avionic systems. this integration facilitates the interoperability and portability of avionic applications, but there are still challenges that need to be addressed before full success can be achieved. To this end, this paper explores the usage of the Data Distribution Service for Real-Time systems (DDS) on top of a partitioned system with a communication network based on the ARINC 664 specification (precisely, the AFDX network). this work specifically identifies the incompatibilities between the two standards and also proposes potential solutions. A set of overhead metrics of using DDS in a distributed partitioned platform is also provided.

关键词： distributed systems distribution middleware vehicular networks real-time systems AFDX DDS ARINC 653

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FLEdge: Benchmarking Federated Learning Applications in Edge computing systems 24

FLEdge: Benchmarking Federated Learning Applications in Edge...

引用

25th international Middleware conference

作者： Woisetschlaeger, Herbert Erben, Alexander Mayer, Ruben Wang, Shiqiang Jacobsen, Hans Arno Tech Univ Munich Munich Germany Univ Bayreuth Bayreuth Germany IBM Res Armonk NY USA Univ Toronto Toronto ON Canada

ISBN: (纸本)9798400706233

Federated Learning (FL) has become a viable technique for realizing privacy-enhancing distributed deep learning on the network edge. Heterogeneous hardware, unreliable client devices, and energy constraints often characterize edge computing systems. In this paper, we propose FLEdge, which complements existing FL benchmarks by enabling a systematic evaluation of client capabilities. We focus on computational and communication bottlenecks, client behavior, and data security implications. Our experiments with models varying from 14K to 80M trainable parameters are carried out on dedicated hardware with emulated network characteristics and client behavior. We find that state-of-the-art embedded hardware has significant memory bottlenecks, leading to 4x longer processing times than on modern data center GPUs.

关键词： Federated Learning Performance Benchmark

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Guidelines for Practicing Responsible Innovation in HPC: A Sociotechnical Approach 11th

Guidelines for Practicing Responsible Innovation in HPC: A S...

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11th international conference on distributed, Ambient and Pervasive Interactions (DAPI) part of the 25th international conference on Human-Computer Interaction (HCI)

作者： Raybourn, Elaine M. Muollo, Killian Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9783031346675;9783031346682

While significant investments have been made in the exploration of ethics in computation, recent advances in high performance computing (HPC) and artificial intelligence (AI) have reignited a discussion for more responsible and ethical computing with respect to the design and development of pervasive sociotechnical systems within the context of existing and evolving societal norms and cultures. the ubiquity of HPC in everyday life presents complex sociotechnical challenges for all who seek to practice responsible computing and ethical technological innovation. the present paper provides guidelines which scientists, researchers, educators, and practitioners alike, can employ to become more aware of one's personal values system that may unconsciously shape one's approach to computation and ethics.

关键词： ethics responsible computing sociotechnical systems

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