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A wireless system is considered, where, computationally complex algorithms are offloaded from user devices to an edge cloud server, for the purpose of efficient battery usage. The main focus of this paper is to characterize and analyze, the…

分布式、并行与集群计算 · 计算机科学 2017-11-01 Shreya Tayade , Peter Rost , Andreas Maeder , Hans D. Schotten

Software Defined Vehicles face an increasing computational gap as advanced algorithms and frequent software updates demand more processing power while onboard hardware remains static throughout a vehicle's 10+ year lifespan. This mismatch…

软件工程 · 计算机科学 2026-04-30 Falk Dettinger , Matthias Weiß , Baran Can Gül , Sruthi Mangala Suresh , Nasser Jazdi , Michael Weyrich

The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has…

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet of Things (IoT) devices with scalable computing and storage resources. Compared to cloud computing, edge/fog servers have fewer resources, but they can…

分布式、并行与集群计算 · 计算机科学 2021-08-10 Qifan Deng , Rajkumar Buyya

The amount of data being produced at every epoch of second is increasing every moment. Various sensors, cameras and smart gadgets produce continuous data throughout its installation. Processing and analyzing raw data at a cloud server faces…

分布式、并行与集群计算 · 计算机科学 2024-02-21 Aditya Kumar , Satish Narayana Srirama

Combining an energy-efficient drone with a high-capacity truck for last-mile package delivery can benefit operators and customers by reducing delivery times and environmental impact. However, directly integrating drone flight dynamics into…

最优化与控制 · 数学 2025-07-23 Yineng Sun , Armin Fügenschuh , Vikrant Vaze

A promising technique to provide mobile applications with high computation resources is to offload the processing task to the cloud. Utilizing the abundant processing capabilities of the clouds, mobile edge computing enables mobile devices…

信息论 · 计算机科学 2019-06-24 Meysam Masoudi , Cicek Cavdar

Industrial Fog computing deploys various industrial services, such as automatic monitoring/control and imminent failure detection, at the Fog Nodes (FNs) to improve the performance of industrial systems. Much effort has been made in the…

分布式、并行与集群计算 · 计算机科学 2018-06-21 Lixing Chen , Pan Zhou , Liang Gao , Jie Xu

For decades, the crowdsourcing has gained much attention from both academia and industry, which outsources a number of tasks to human workers. Existing works considered improving the task accuracy through voting or learning methods, they…

数据库 · 计算机科学 2018-02-26 Peng Cheng , Xiang Lian , Xun Jian , Lei Chen

We propose integrating the edge-computing paradigm into the multi-robot collaborative scheduling to maximize resource utilization for complex collaborative tasks, which many robots must perform together. Examples include collaborative…

机器人学 · 计算机科学 2023-11-20 Nazish Tahir , Ramviyas Parasuraman

Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost. However, UAVs face the challenges of limited battery capacity…

信号处理 · 电气工程与系统科学 2023-10-09 Geng Sun , Long He , Zemin Sun , Qingqing Wu , Shuang Liang , Jiahui Li , Dusit Niyato , Victor C. M. Leung

The increasing complexity of fog computing environments calls for efficient resource optimization techniques. In this paper, we propose and evaluate three distributed designs of a genetic algorithm (GA) for resource optimization in fog…

神经与进化计算 · 计算机科学 2024-06-17 Carlos Guerrero , Isaac Lera , Carlos Juiz

Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole city operational area.…

网络与互联网体系结构 · 计算机科学 2022-09-05 Andrea Tassi , Ioannis Mavromatis , Robert Piechocki , Andrew Nix , Christian Compton , Tracey Poole , Wolfgang Schuster

We consider the problem of controlling a large fleet of drones to deliver packages simultaneously across broad urban areas. To conserve energy, drones hop between public transit vehicles (e.g., buses and trams). We design a comprehensive…

机器人学 · 计算机科学 2021-01-06 Shushman Choudhury , Kiril Solovey , Mykel J. Kochenderfer , Marco Pavone

Tactile Internet is an emerging concept that focuses on supporting high-fidelity, ultra-responsive, and widely available human-to-machine interactions. To reduce the transmission latency and alleviate Internet congestion, fog computing has…

网络与互联网体系结构 · 计算机科学 2020-01-29 Yong Xiao , Marwan Krunz

Despite constant improvements in efficiency, today's data centers and networks consume enormous amounts of energy and this demand is expected to rise even further. An important research question is whether and how fog computing can curb…

分布式、并行与集群计算 · 计算机科学 2021-03-02 Philipp Wiesner , Lauritz Thamsen

The exponential growth of devices and data at the edges of the Internet is rising scalability and privacy concerns on approaches based exclusively on remote cloud platforms. Data gravity, a fundamental concept in Fog Computing, points…

分布式、并行与集群计算 · 计算机科学 2021-08-03 Lorenzo Valerio , Andrea Passarella , Marco Conti

Devices located in remote regions often lack coverage from well-developed terrestrial communication infrastructure. This not only prevents them from experiencing high quality communication services but also hinders the delivery of machine…

分布式、并行与集群计算 · 计算机科学 2024-08-20 Dong-Jun Han , Wenzhi Fang , Seyyedali Hosseinalipour , Mung Chiang , Christopher G. Brinton

Cloud computing revolutionized the information technology (IT) industry by offering dynamic and infinite scaling, on-demand resources and utility-oriented usage. However, recent changes in user traffic and requirements have exposed the…

网络与互联网体系结构 · 计算机科学 2024-10-30 Harshit Gupta , Shubha Brata Nath , Sandip Chakraborty , Soumya K. Ghosh

Meeting the requirements of future services with time sensitivity and handling sudden load spikes of the services in Fog computing environments are challenging tasks due to the lack of publicly available Fog nodes and their characteristics.…

分布式、并行与集群计算 · 计算机科学 2024-03-05 Sudheer Kumar Battula , Saurabh Garg , James Montgomery , Ranesh Naha
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