Results 81 to 90 of about 5,254,563 (393)
AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures [PDF]
Edge computing has emerged as a popular paradigm for supporting mobile and IoT applications with low latency or high bandwidth needs. The attractiveness of edge computing has been further enhanced due to the recent availability of special-purpose hardware to accelerate specific compute tasks, such as deep learning inference, on edge nodes.
arxiv
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems [PDF]
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). Recently, given its advantages of low latency, high bandwidth and location awareness, edge computing has become a ...
arxiv
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Mobile edge computing (a.k.a. fog computing) has recently emerged to enable in-situ processing of delay-sensitive applications at the edge of mobile networks.
Chen, Lixing, Ren, Shaolei, Xu, Jie
core +1 more source
Over the past few years, The idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies such as Internet of Things (IoT) , 5G, artificial intelligence, and augmented reality.
Hasan, Balqees Talal, Idrees, Ali Kadhum
openaire +2 more sources
The interaction between Agrobacterium fabrum phytochromes Agp1 and Agp2 was studied using FRET. Full‐length and truncated proteins with varied label positions provided spatial insights, narrowing down from many docking models to three. These models explain Agp2's reduction in Agp1 autophosphorylation, with Arg83 of Agp2 specifically evolved to interact
Afaf El Kurdi+7 more
wiley +1 more source
Cloud native based edge computing: vision and challenges
Cloud native computing, featured by low-cost container technology, well fits edge computing.It was proposed to apply cloud native computing to make edge computing resource management and control transparent to application development and operation ...
Deze ZENG+3 more
doaj +2 more sources
Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions
This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten+10 more
wiley +1 more source
EdgeBench: A Workflow-based Benchmark for Edge Computing [PDF]
Edge computing has been developed to utilize multiple tiers of resources for privacy, cost and Quality of Service (QoS) reasons. Edge workloads have the characteristics of data-driven and latency-sensitive. Because of this, edge systems have developed to be both heterogeneous and distributed.
arxiv
Cloud/fog computing resource management and pricing for blockchain networks
The mining process in blockchain requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to the high computing power and energy needed.
Feng, Shaohan+5 more
core +1 more source
Web Browsing with Edge Computing
Webpages have become increasingly complex in recent years, with longer loading times to match. This paper uses tailored edge computing to address this issue. As is customary, A grip server interacts with cloud web servers in edge computing. In A footing server, on the other hand, is a personalised edge computing system.
Abhishek Rastogi+3 more
openaire +1 more source