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59th Annual ieee international conference on Communications (ieee ICC)

作者： Xu, Wenlong Zhang, Tiankui Mu, Xidong Liu, Yuanwei Wang, Yapeng Shi, TianYi Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China Queen Mary Univ London Sch Elect Engn & Comp Sci London E1 4NS England Macao Polytech Univ Sch Fac Appl Sci Macau 999078 Peoples R China

ISBN: (纸本)9798350304060;9798350304053

In the multiple unmanned aerial vehicle (UAV) mobile edge computing (MeC) systems, the cooperative computation among multiple UAVs can improve the overall computation service capability. Multi-UAV MeC systems can meet the quality of service requirements for computation intensive applications of ground terminals (GTs) in complex field environments, emergency disaster relief and other special scenarios. In this paper, a multi-UAV cooperative computation framework is proposed while taking the GT movement and random arrival of computation tasks into consideration. A long-term optimization problem is formulated for the joint optimization of UAV trajectory and resource allocation, subject to minimizing the total GT computation task completion time and the total system energy consumption. To solve this problem, a joint multiple time-scale optimization algorithm is proposed. In particular, the optimization problem is decomposed into a long time-scale multi-UAV trajectory planning subproblem and a short time-scale resource allocation subproblem. The proximal policy optimization algorithm is invoked to solve the long time-scale subproblem. The greedy algorithm and the successive convex approximation (SCA) method are employed to solve the short time-scale subproblem. Simulation results show that the proposed algorithm can quickly adapt to different degrees of environmental dynamics and outperforms the benchmark algorithm for different task requirements and available resources.

关键词： deep reinforcement learning mobile edge computing multi-UAV cooperative computation resource allocation trajectory planning

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Optimized Scheduling Strategy of Multi-Micro-grid Integrated energy System Considering the efficient Utilization of energy Cascade 2

Optimized Scheduling Strategy of Multi-Micro-Grid Integrated...

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2nd international conference on Distributed computing and Optimization Techniques, ICDCOT 2024

作者： Zhao, Yanjun Wu, Jialu Wang, Chao Ni, Shengya Li, Ning Xinjiang Xinte Crystal Silicon High Tech Xinjiang Urumqi China Tbea Xinjiang Transformer Factory Xinjiang Uygur Autonomous Region Changji China

ISBN: (纸本)9798350382952

The implementation of the two-carbon target of 'carbon peak' and 'carbon neutrality'. The increase of the comprehensive energy micro-grid will form a micro-grid cluster, namely the multi-micro-grid integrated energy system. Compared with the single integrated energy system can greatly improve the energy cost of the grid. How to further improve the overall energy use efficiency is still a key point of research. In this paper, an optimal scheduling model is established for the multi-micro grid integrated energy system including electric energy interaction and considering the efficient utilization of energy cascade. Firstly, the architecture and the energy quality coefficient method of the multi-micro grid integrated energy system are detailed, and the differences between the efficiency calculation method and the thermal efficiency calculation method are compared in detail. Subsequently, the optimal scheduling model of multi-micro grid integrated energy system with economy and efficiency is constructed. Matalb and Yalmip are used for optimization modeling, and Gurobi solver is used to solve the problem, which effectively avoids the problem of too long calculation time of heuristic algorithm. The rationality and effectiveness of the proposed scheme are demonstrated through example analysis, which not only greatly improves the energy efficiency, but also ensures the high economy, making the operation of the multi-micro grid integrated energy system more in line with the requirements of the two-carbon target. © 2024 ieee.

关键词： Heuristic algorithms

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An Improved BBR Algorithm with Adaptive Congestion Control for LeO Satellite Networks

An Improved BBR Algorithm with Adaptive Congestion Control f...

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2024 international conference on Cloud and Network computing, ICCNC 2024

作者： Wang, Zhiyi Zhao, Ya Han, Wei Jin, Fan Lan, Lixin Lu, Haitao Chen, Chen State Grid JiLin Province Electric Power Company Limited Information Changchun China Xidian University School of Telecommunications Engineering Xi'an China Xi'An Beilin University-Based Innovation Group Co. Ltd. Xi'an China National Key Laboratory of Science and Technology on Space Microwave Xi'an China Ningbo Joynext Technology Corporation Joynext Ningbo China Science and Technology on Communication Networks Laboratory Shijiazhuang050000 China Xidian University Xidian Hangzhou Institute of Technology Hangzhou China

ISBN: (纸本)9798350367805

Low earth Orbit (LeO) satellite networks are favored for their global coverage, low latency, and geographical flexibility, but they also face challenges of high dynamism in network topology and congestion control. To address these issues, this study introduces an improved BBR congestion control algorithm (Deep-BBR) based on traffic prediction. The algorithm integrates Long Short-Term Memory networks, Graph Convolutional Networks, and attention mechanisms to accurately predict bandwidth utilization and dynamically adjust pacing gains. experimental results show that the Deep-BBR algorithm significantly outperforms the traditional BBR algorithm in effective throughput, latency, and in-flight data management, effectively enhancing the communication performance and stability of LeO satellite networks. This improvement offers a more efficient and intelligent solution for congestion control in LeO satellite networks. © 2024 ieee.

关键词： Satellite communication systems

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Research on Cloud computing Security Based on Virtualization Security Technology 4

Research on Cloud Computing Security Based on Virtualization...

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4th international conference on Information science, Parallel and Distributed Systems, ISPDS 2023

作者： Dang, Fangfang Yang, Ying Liu, Han Li, Dingding State Grid Henan Information & Telecommunication Company Henan Zhengzhou China

ISBN: (纸本)9798350337181

In order to overcome the problems of high intrusion rate and low encryption depth of traditional cloud computing security research methods, this paper proposes a new cloud computing security research method based on Virtualization security technology. First, analyze the principle of virtualization technology, and build a cloud computing resource transmission model to understand the whole cloud computing process. Secondly, the chaotic mapping method is used to transform cloud computing data to obtain binary chaotic sequence data, and realize the security encryption of cloud computing data to further ensure the security of cloud computing data. Finally, build the cloud computing data encryption and decryption algorithm to complete the cloud computing security research. experimental results show that compared with traditional methods, the proposed method can effectively improve the security of cloud computing and reduce the intrusion rate. © 2023 ieee.

关键词： Cryptography

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energy-efficient Programable Analog computing: Analog computing in a standard CMOS process

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ieee Solid-State Circuits Magazine 2024年第4期16卷 32-40页

作者： Hasler, Jennifer Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA30332 United States

When I started working on analog computing for neural network systems in the 1980s, the question everyone feared to be asked at the end of their presentation was "couldn't this be done on a DSP processor?"Carver Mead provided a theoretical and intuitive answer in 1990 that analog computing should be thousands of times more efficient than digital computation. Three decades later the "couldn't this be done on a DSP?"question, or its related question "couldn't this be done on a digital computing IC?", has been definitively addressed with a resounding No for several implementations. This paper addresses how end-to-end analog computing system demonstrates this increased efficiency over digital computing systems. These computations are possible entirely in a standard CMOS process using Floating-Gate (FG) devices available in any CMOS IC process. The efficiency is both at the computational circuit level, as well as at the architecture level. The first crossbar and single-transistor synapse concept appeared 30 years ago. The definitive demonstration of Mead's energy efficiency hypothesis appeared 20 years ago, and before that demonstration was the start of Compute in Memory (CiM) as well as the start of a large-scale FPAA with FG-enabled connections. Analog computing opportunities in Standard CMOS IC processes can provide many opportunities for the wider commercial market. © 2009-2012 ieee.

关键词： CMOS integrated circuits

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Satellite computing: A Case Study of Cloud-Native Satellites 7

Satellite Computing: A Case Study of Cloud-Native Satellites

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7th ieee international conference on edge computing and Communications (ieee eDGe) / ieee World Congress on Services (SeRVICeS)

作者： Wang, Chao Zhang, Yiran Li, Qing Zhou, Ao Wang, Shangguang Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China Peking Univ Sch Comp Sci Beijing 100871 Peoples R China

ISBN: (纸本)9798350304831

The on-orbit processing of massive satellite-native data relies on powerful computing power. Satellite computing has started to gain attention, with researchers proposing various algorithms, applications, and simulation testbeds. Unfortunately, a practical platform for deploying satellite computing is currently lacking. As a result, the industry needs to make relentless efforts to achieve this goal. We suggest using cloud-native technology to enhance the computing power of LeO satellites. The first main satellite of the Tiansuan constellation, BUPT-1, is a significant example of a cloud-native satellite. Prior to delving into the details of BUPT-1, we define the essential concepts of cloud-native satellites, i.e., the cloud-native load and cloud-native platform. Afterwards, we present the design scheme of cloud-native satellites, including the architecture of BUPT-1 and the experimental subjects it can support. Two validation tests are shown to reflect the operation and capability of BUPT-1. Besides, we predict possible research fields that could shape the future of satellites in the next decade.

关键词： Satellite computing Cloud-Native Satellite BUPT-1 Cloud-Native Load Cloud-Native Platform

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gridMM: grid Memory Map for Vision-and-Language Navigation

GridMM: Grid Memory Map for Vision-and-Language Navigation

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ieee/CVF international conference on Computer Vision (ICCV)

作者： Wang, Zihan Li, Xiangyang Yang, Jiahao Liu, Yeqi Jiang, Shuqiang Chinese Acad Sci Key Lab Intelligent Informat Proc Lab Inst Comp Technol Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9798350307184

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. To represent the previously visited environment, most approaches for VLN implement memory using recurrent states, topological maps, or top-down semantic maps. In contrast to these approaches, we build the top-down egocentric and dynamically growing grid Memory Map (i.e., gridMM) to structure the visited environment. From a global perspective, historical observations are projected into a unified grid map in a top-down view, which can better represent the spatial relations of the environment. From a local perspective, we further propose an instruction relevance aggregation method to capture fine-grained visual clues in each grid region. extensive experiments are conducted on both the ReVeRIe, R2R, SOON datasets in the discrete environments, and the R2R-Ce dataset in the continuous environments, showing the superiority of our proposed method. The source code is available at https://***/MrZihan/gridMM.

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Distribution of entanglement in two-dimensional square grid network 4

Distribution of entanglement in two-dimensional square grid ...

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4th ieee international conference on Quantum computing and engineering, QCe 2023

作者： Kaur, eneet Guha, Saikat College of Optical Sciences University of Arizona 1630 E University Blvd TucsonAZ85719 United States

ISBN: (纸本)9798350343236

We study entanglement generation in a quantum network where repeater nodes can perform n-qubit Greenberger-Horne-Zeilinger(GHZ) swaps, i.e., projective measurements, to fuse n imperfect-Fidelity entangled-state fragments. We show that the distance-independent entanglement distribution rate found previously for this protocol, assuming perfectly-entangled states at the link level, does not survive. This is true also in the modified protocol we study - one that spatially constrains the repeater nodes involved in the swaps. We obtain analytical formulas for a GHZ swap of multiple Werner states, which might be of independent interest. Whether the distance-independent entanglement rate might re-emerge with a spatio-temporally-optimized scheduling of GHZ swaps and multi-site block-distillation codes, remains open. © 2023 ieee.

关键词： Distillation

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From Workflows to Teamflows in escience: Integrating Collaborative science, AI, and computing for Impact at Scale 19

From Workflows to Teamflows in eScience: Integrating Collabo...

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19th ieee international conference on e-science, e-science 2023

作者： Altintas, Ilkay San Diego Supercomputer Center Halicioglu Data Science Institute University of California San Diego La Jolla CA United States

ISBN: (纸本)9798350322231

escience is now an example field for conducting science using advanced computational methodologies, middle-ware and workflows. With the ever-increasing data intensity in various scientific disciplines and the opportunities provided by novel artificial intelligence (AI) and computing techniques, there is a pressing need for escience to adapt and develop holistic approaches for AI-integrated science and interdisciplinary collaboration between science, AI and computing experts. This paper discusses the transformative shift needed in the conduct and tools of escience from traditional workflows, often linear, pre-defined to coordinate task execution and individually developed, to integrated 'teamflows', a term coined to encapsulate methods for effective team collaboration and communication, dynamic data and service integration, and use-inspired thinking. In the AI in science era of scientific investigation, this 'future of escience' special track paper: 1) emphasizes the vital importance of escience to the success of collaborative AI in science teams;2) recites some requirements for open data and services for AI-enhanced workflows, team science and incentive structures to create a more inclusive and efficient discovery environment;and 3) discusses impact as a measure of success in escience. © 2023 ieee.

关键词： e-science

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An Optimal Deployment Method of Terminals in SDN based PDIoT 6

An Optimal Deployment Method of Terminals in SDN based PDIoT

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6th ieee international electrical and energy conference, CIeeC 2023

作者： Zhang, Rui Deng, Jingzhu He, Yipeng Mei, Aoqi Zhou, Lide Guangdong Power Grid Co. Ltd Dongguan Power Supply Bureau Dongguan China

ISBN: (纸本)9798350346671

In order to enhance the business support capability of power distribution Internet of Things and save economic cost, this paper proposes an optimal deployment method for distribution edge computing terminals in software defined network based power distribution Internet of Things. The base station of power wireless private network has abundant data flow and service flow. It has obvious advantage to deploy distribution edge computing terminal by using the site of wireless base station. This paper introduces the software defined network based edge computing architecture of the power distribution Internet of Things, and establishes the service, intelligent terminal and edge computing terminal of the power distribution Internet of things. Furthermore, considering communication mode constraints, delay constraints and hardware configuration constraints, and aiming at minimizing the sum of annual average equipment cost and annual operating cost, an optimal deployment model of distribution edge computing terminals was established. The effectiveness of the proposed method is verified by simulation. © 2023 ieee.

关键词： Internet of things

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