May 1, 2020 · First, it summarizes the concept of edge computing and compares it with cloud computing. Then summarize the architecture of edge computing, keyword technology, security and privacy protection, and finally summarize the applications of edge computing.

Nov 2, 2018 · In this chapter, we will summarize the challenges in Edge Computing and bring forward some potential solutions and opportunities worth further research, including programmability, naming, data abstraction, service management, privacy and security and optimization metrics.

Jun 25, 2023 · 4.3 Data Abstraction. The edge operating system can host a wide variety of data consumers and service providers that exchange information via the service management layer’s application programming interface (API).

Oct 13, 2023 · Findings emphasize the crucial role of edge computing in reducing data processing latency, conserving network bandwidth, and enhancing scalability, particularly in applications like...

Nov 10, 2018 · Edge computing has also inherited some of the challenges of cloud computing, including data abstraction, naming, and programmability. This chapter presents a detailed taxonomic discussion of edge computing, along with its challenges, opportunities, and data reduction methods.

Aug 6, 2019 · Edge Computing [Scanning the Issue] Abstract: In recent years, with the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the number of edge devices and the data generated from the edge have been growing rapidly.

Apr 22, 2025 · Edge computing has gained significant attention due to the swift development of wireless communication technology. As more smart, data-intensive applications and Internet of Things (IoT) devices are used, the amount of data traffic grows at an exponential rate. This means that we need to manage data effectively so that services can be scalable, bandwidth-efficient, and latency-sensitive ...

4 days ago · View PDF HTML (experimental) Abstract: Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, low-latency processing. Recent advancements in AI, particularly deep learning and large language models (LLMs), have dramatically ...

Jul 3, 2024 · Edge computing is the model that extends cloud computing services to the edge of the network. This model aims to move decision-making operations as close as possible to data sources since it acts as an intermediate layer connecting cloud data centres to edge devices/sensors.

1 day ago · Large artificial intelligence models (LAMs) emulate human-like problem-solving capabilities across diverse domains, modalities, and tasks. By leveraging the communication and computation resources of geographically distributed edge devices, edge LAMs enable real-time intelligent services at the network edge. Unlike conventional edge AI, which relies on small or moderate-sized models for direct ...