Studies have shown that teachers find it difficult to prepare contents in the area of embedded systems and hardware/software co-design for school students. The goal of this paper is to support them by obtaining a clea...
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ISBN:
(纸本)9781450385718
Studies have shown that teachers find it difficult to prepare contents in the area of embedded systems and hardware/software co-design for school students. The goal of this paper is to support them by obtaining a clearly structured representation of the key concepts from this area in order to be able to derive concrete competence goals based on them later on. We apply a method for identifying the key concepts of a subject area within computer science, which has already been tested in the field of data management, to embedded systems and the related hardware/software co-design. Here, we present the procedure (literature selection, content analysis, concept clustering, and structuring) and the results of this process.
5G claims to support mobility up to 500 km/h according to the 3GPP standard. However, its field performance under high-speed scenes remains in mystery. In this paper, we conduct the first large-scale measurement campa...
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5G claims to support mobility up to 500 km/h according to the 3GPP standard. However, its field performance under high-speed scenes remains in mystery. In this paper, we conduct the first large-scale measurement campaign on a high-speed railway route operating at the maximum speed of 350 km/h, with full coverage of LTE and 5G (NSA and SA) along the track. Our study consumed 1788.8 GiB of cellular data in six months, covering the three major carriers in China and the recent standardized QUIC protocol. Based on our dataset, we reveal the key characteristics of 5G and LTE in extreme mobility in terms of throughput, RTT, loss rate, signal quality, and physical resource utilization. We further develop a taxonomy of handovers in both LTE and 5G and carry out the link-layer latency breakdown analysis. Our study pinpoints the deficiencies in the user equipment, radio access network, and core network which hinder seamless connectivity and better utilization of 5G's high bandwidth. Our findings highlight the directions of the next step in the 5G evolution.
The dependencies and centralization in DNS infrastructure increase the risk of single-point failure and the scope of collateral damage. In the DNS recursive resolution, dependencies between different resolvers also ex...
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The proceedings contain 4 papers. The topics discussed include: differential performance analysis workflow for algorithmic changes;controlling the runtime overhead of python monitoring with selective instrumentation;T...
ISBN:
(纸本)9781665411103
The proceedings contain 4 papers. The topics discussed include: differential performance analysis workflow for algorithmic changes;controlling the runtime overhead of python monitoring with selective instrumentation;TFProf: profiling large Taskflow programs with modern D3 and C++;and measurement and analysis of GPU-accelerated OpenCL computations on intel GPUs.
The Network Time Protocol (NTP) is a server-client-based time synchronization protocol that transmits time information over a network, and is used in various applications on the Internet. Especially, the NTP Pool Proj...
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ISBN:
(纸本)9781450391658
The Network Time Protocol (NTP) is a server-client-based time synchronization protocol that transmits time information over a network, and is used in various applications on the Internet. Especially, the NTP Pool Project is designed to connect NTP servers that provide accurate time to millions of clients, and balance the load on the NTP servers using the NTP pool. The NTP pool operates the NTP pool monitor system to evaluate the time accuracy and availability of the NTP servers registered with the NTP pool. There are currently two operating environments for monitoring systems in practice: one is a single monitoring system, which is officially operating, and the other is a multiple-monitoring system, which is now under beta testing. In this study, we investigate the NTP pool monitoring system based on multiple monitoring stations, which is expected to be deployed soon in the real world. We then discuss possible threats and their security implications when the current single monitoring system extends to the multiple-monitoring system.
This paper presents a performance analysis of pencil domain decomposition methodologies for three-dimensional Computational Fluid Dynamics (CFD) codes for turbulence simulations, on several large GPU-accelerated clust...
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The cloud computing industry has grown rapidly over the last decade, and with this growth there is a significant increase in demand for compute resources. Demand is manifested in the form of Virtual Machine (VM) reque...
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The design and analysis of parallel algorithms are both fundamental to the set of high-performance, parallel, and distributed computing skills required to use modern computing resources efficiently. In this work, we p...
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ISBN:
(纸本)9781665411165
The design and analysis of parallel algorithms are both fundamental to the set of high-performance, parallel, and distributed computing skills required to use modern computing resources efficiently. In this work, we present an approach of teaching parallel computing within an undergraduate algorithms course that combines the paradigms of dynamic programming and multithreaded parallelization. We have developed a visualization tool built with the Thread Safe Graphics Library that enables interactive demonstration of parallelization techniques for two fundamental dynamic programming problems, 0/1 Knapsack and Longest Common Subsequence. We describe the implementation of the tool, the real-time animation it produces, and the results of using it in class. The tool is publicly available to be used directly or as a basis on which to build visualizations of other parallel dynamic programming algorithms.
With the integration of Mobile Edge computing (MEC) and Network Function Virtualization (NFV), service providers are able to provide low-latency services to mobile users for profit. In this paper, we study the problem...
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ISBN:
(纸本)9781450390774
With the integration of Mobile Edge computing (MEC) and Network Function Virtualization (NFV), service providers are able to provide low-latency services to mobile users for profit. In this paper, we study the problem of service instance placement and request assignment in an MEC network for a given monitoring period, where service requests arrive into the system without the knowledge of future arrivals. Each incoming request requires a specific service with a maximum tolerable service delay requirement. The problem is to maximize the profit of the service provider by admitting service requests for the monitoring period, which can be achieved by pre-installing service instances into cloudlets to shorten service delays, and accommodating new services by removing some idle service instances from cloudlets due to limited computing resources. We then devise an efficient deep-reinforcement-learning-based algorithm for this dynamic online service instance placement problem. We finally evaluate the performance of the proposed algorithm by conducting experiments through simulations. Simulation results demonstrate that the proposed algorithm is promising.
In the rapidly evolving landscape of information retrieval (IR), the integration of Large Language Models (LLMs) has opened new avenues for enhancing search engine interactions. This work presents a novel perspective ...
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ISBN:
(纸本)9798400701726
In the rapidly evolving landscape of information retrieval (IR), the integration of Large Language Models (LLMs) has opened new avenues for enhancing search engine interactions. This work presents a novel perspective on harnessing the capabilities of LLMs to transform search engines from mere tools into intelligent platforms that actively guide users in formulating and refining their queries. This paper explores the intersection of AI and IR, focusing on how AI can act as a mentor, helping users navigate the complex information ecosystem more effectively. We propose a framework where LLMs not only understand and interpret user intents, but also dynamically adapt queries for optimal search outcomes. This approach promises to make information retrieval more intuitive, personalized, and efficient, paving the way for a new era in search technology.
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