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Mobile edge computing (MEC) has been introduced to provide additional computing capabilities at network edges in order to improve performance of latency critical applications. In this paper, we consider the cell-free (CF) massive MIMO…

信息论 · 计算机科学 2019-08-19 Sudarshan Mukherjee , Jemin Lee

Edge Computing (EC) is about remodeling the way data is handled, processed, and delivered within a vast heterogeneous network. One of the fundamental concepts of EC is to push the data processing near the edge by exploiting front-end…

分布式、并行与集群计算 · 计算机科学 2022-06-14 Raby Hamadi , Abdullah Khanfor , Hakim Ghazzai , Yehia Massoud

The foundation-model ecosystem remains highly centralized because training requires immense compute resources and is therefore largely limited to large cloud operators. Edge-assisted foundation model training that harnesses spare compute on…

分布式、并行与集群计算 · 计算机科学 2026-04-14 Leyang Xue , Meghana Madhyastha , Myungjin Lee , Amos Storkey , Randal Burns , Mahesh K. Marina

In recent years, the fast development of mobile communications and cloud systems has substantially promoted edge computing. By pushing server resources to the edge, mobile service providers can deliver their content and services with…

网络与互联网体系结构 · 计算机科学 2021-12-20 Xun Shao , Go Hasegawa , Mianxiong Dong , Zhi Liu , Hiroshi Masui , Yusheng Ji

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to meet ever-increasing resource demands of mobile users, prolong battery lives of mobile devices, and shorten request response delays experienced by users. An MEC…

网络与互联网体系结构 · 计算机科学 2018-04-30 Zhuang Wang , Weifa Liang , Meitian Huang , Yu Ma

Mobile edge computing (MEC) is a promising technology for enhancing the computation capacities and features of mobile users by offloading complex computation tasks to the edge servers. However, mobility poses great challenges on delivering…

信息论 · 计算机科学 2022-07-06 Zezu Liang , Yuan Liu , Tat-Ming Lok , Kaibin Huang

In cloud-edge-device (CED) collaborative query (CQ) processing, by leveraging CED collaboration, the advantages of both cloud computing and edge resources can be fully integrated. However, it is difficult to implement collaborative…

Communication and computation services supporting Connected and Automated Vehicles (CAVs) are characterized by stringent requirements, in terms of response time and reliability. Fulfilling these requirements is crucial for ensuring road…

网络与互联网体系结构 · 计算机科学 2024-04-09 Wendlasida Ouedraogo , Andrea Araldo , Badii Jouaber , Hind Castel , Remy Grunblatt

This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various industries, terminals…

网络与互联网体系结构 · 计算机科学 2023-07-07 Yuanpeng Zheng , Tiankui Zhang , Rong Huang , Yapeng Wang

Extreme Edge Computing (EEC) pushes computing even closer to end users than traditional Multi-access Edge Computing (MEC), harnessing the idle resources of Extreme Edge Devices (EEDs) to enable low-latency, distributed processing. However,…

Mobile edge computing (MEC) is a promising technology to meet the increasing demands and computing limitations of complex Internet of Things (IoT) devices. However, implementing MEC in urban environments can be challenging due to factors…

网络与互联网体系结构 · 计算机科学 2025-02-03 Subhrajit Barick , Chetna Singhal

Recently, mobile ad hoc clouds have emerged as a promising technology for mobile cyber-physical system applications, such as mobile intelligent video surveillance and smart homes. Resource management plays a key role in maximizing resource…

分布式、并行与集群计算 · 计算机科学 2019-03-22 Sayed Chhattan Shah

In Multi-access Edge Computing (MEC) networks, users covered by a mobile network can exploit edge clouds (ECs), computational resources located at the network's edge, to execute virtual network functions (VNFs). ECs are particularly useful…

网络与互联网体系结构 · 计算机科学 2025-06-17 Federico Giarrè , Holger Karl

Edge computing moves the computation closer to the data and the data closer to the user to overcome the high latency communication of cloud computing. Storage at the edge allows data access with high speeds that enable latency-sensitive…

分布式、并行与集群计算 · 计算机科学 2020-06-30 Karim Sonbol , Öznur Özkasap , Ibrahim Al-Oqily , Moayad Aloqaily

Mobile-edge computing (MEC) is a promising technology to enable real-time information transmission and computing by offloading computation tasks from wireless devices to network edge.

信息论 · 计算机科学 2017-12-05 Mengyu Liu , Yuan Liu

Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the proximity of data sources, thereby reducing service provision latency and saving backhaul network bandwidth. Although computation offloading…

计算机科学与博弈论 · 计算机科学 2017-09-27 Lixing Chen , Jie Xu

Multi-access edge computing (MEC) emerges as an essential part of the upcoming Fifth Generation (5G) and future beyond-5G mobile communication systems. It adds computational power towards the edge of cellular networks, much closer to…

网络与互联网体系结构 · 计算机科学 2022-07-26 Bin Han , Vincenzo Sciancalepore , Yihua Xu , Di Feng , Hans D. Schotten

Current cloud-based smart systems suffer from weaknesses such as high response latency, limited network bandwidth and the restricted computing power of smart end devices which seriously affect the system's QoS (Quality of Service).…

软件工程 · 计算机科学 2021-02-02 Xuejun Li , Ran Ding , Xiao Liu , Jia Xu , Yun Yang , John Grundy

Mobile-edge computing (MEC) has recently emerged as a prominent technology to liberate mobile devices from computationally intensive workloads, by offloading them to the proximate MEC server. To make offloading effective, the radio and…

信息论 · 计算机科学 2017-02-06 Yuyi Mao , Jun Zhang , S. H. Song , Khaled B. Letaief

As a consequence of the COVID-19 pandemic, the demand for telecommunication for remote learning/working and telemedicine has significantly increased. Mobile Edge Caching (MEC) in the 6G networks has been evolved as an efficient solution to…

网络与互联网体系结构 · 计算机科学 2021-12-02 Zohreh Hajiakhondi Meybodi , Arash Mohammadi , Elahe Rahimian , Shahin Heidarian , Jamshid Abouei , Konstantinos N. Plataniotis