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Automatic edge app placement for personalized heart attack predictions
Edge computing brings data processing, analytics and storage closer to the source, but the major limitation of edge devices is that they have limited...
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Edge AI Patterns
This paper comprehensively explores a spectrum of AI patterns tailored for edge computing, including regular, branched, circular, serial, concurrent,...
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A survey of energy-efficient strategies for federated learning inmobile edge computing
With the booming development of fifth-generation network technology and Internet of Things, the number of end-user devices (EDs) and diverse...
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Development of DSL Compilers for Specialized Processors
AbstractModern computer systems often include specialized processors that are programmed in domain-specific languages. The compiler-in-the-loop...
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Towards Enhanced Energy Aware Resource Optimization for Edge Devices Through Multi-cluster Communication Systems
In the realm of the Internet of Things (IoT), the significance of edge devices within multi-cluster communication systems is on the rise. As the...
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Toward efficient structured-grid triangular solver on sunway many-core processors
The sparse triangular solver (SpTRSV) is mostly used for scientific and engineering applications. The structured-grid triangular solver of regular...
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An adaptive service deployment algorithm for cloud-edge collaborative system based on speedup weights
In the contemporary landscape of edge computing, the deployment of services with stringent real-time requirements on edge devices is increasingly...
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Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
Intrusion detection systems (IDS) are crucial security measures nowadays to enforce network security. Their task is to detect anomalies in network...
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Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing
Conventional detection techniques aimed at intelligent devices rely primarily on deep learning algorithms, which, despite their high precision, are...
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Students health physique information sharing in publicly collaborative services over edge-cloud networks
Data privacy is playing a vital role while facing the digital life aspects. Today, the world is being extensively inter-connected through the...
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Fast Sobel Edge Detection for IoT Edge Devices
The emerging IoT edge applications demand fast and energy-efficient hardware requirements for data processing. Conventional computing architectures...
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Live Migration of Containers in the Edge
While most of the prior work in this area has provided solutions for live migration on clusters comprised of resource-rich servers or fog servers...
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Social Edge Trends and Applications
The advent of edge computing pushes the frontier of computation, service, and data along the cloud-to-things continuum to the edge of the network,...
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Low resource FPGA implementation based efficient image edge detector architecture
This paper proposes a resource-efficient architecture of Sobel edge detector, Prewitt edge detector, Roberts edge detector and Laplacian edge...
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SYCL in the edge: performance and energy evaluation for heterogeneous acceleration
Edge computing is essential to handle increasing data volumes and processing capacities. It provides real-time and secure data processing near data...
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Edgelet computing: enabling privacy-preserving decentralized data processing at the network edge
The convergence of opportunistic networks and trusted execution environments at the network edge presents a compelling opportunity for fully...
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Edge Computing Systems: Modeling and Resource Optimization for Augmented Reality and Soft Real-time Applications
This paper presents a solution to support IoT devices by employing edge computing resources. These devices usually run tasks with high resource...
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Parallel GEMM-based convolution for deep learning on multicore RISC-V processors
We address the efficient implementation of the convolution operator on the GAP8 parallel ultra-low power platform (PULP), a heterogeneous multi-core...
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FPGA-Based Hardware/Software Codesign for Video Encoder on IoT Edge Platforms
Recently, image/video-based applications have been widely used for many domains, such as traffic, medical, or robotics. In this context, IoT-based...
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Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging
Hyperspectral imaging is applied in the medical field for automated diagnosis of diseases, especially cancer. Among the various classification...
