this study focuses on the design and implementation of a distributed online video management system based on cloud computing. First, this study introduces the basic concepts and development history of distributed syst...
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the proceedings contain 20 papers. the topics discussed include: split DNN inference for exploiting near-edge accelerators;DONNA: distributed optimized neural network allocation on CIM-based heterogeneous accelerators...
ISBN:
(纸本)9798350368499
the proceedings contain 20 papers. the topics discussed include: split DNN inference for exploiting near-edge accelerators;DONNA: distributed optimized neural network allocation on CIM-based heterogeneous accelerators;reliable network performance for edge networks with QoS-aware adaptive routing;the impact of GPU on containerized computer vision applications on edge nodes;cross network layer cognitive service orchestration in edge computingsystems;a case for deploying dynamic neural network on edge-cloud continuum environment;data sharing-aware online algorithms for task allocation in edge computingsystems;and SlimNet: a lightweight attentive network for speech-music-noise classification and voice activity detection.
Digital rehabilitation is dramatically changing the way in which physiotherapists conduct their practice and analyse the exercises of patients. As opposed to traditional treatment with episodic verification of the the...
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ISBN:
(纸本)9798400704437
Digital rehabilitation is dramatically changing the way in which physiotherapists conduct their practice and analyse the exercises of patients. As opposed to traditional treatment with episodic verification of the therapist, patients can perform prescribed exercises at home supported by personalised assistive technologies and wearable devices. this work presents a prototype that highlights the integration of motion data streams from wearable sensors in the context of head and neck rehabilitation exercises. the system consists of self-organising devices placed in shoulders, neck, and head, set up following low-code interaction flows. Patients can interact withthe platform through a tablet App that provides feedback through real-time 3D avatars and tracks data for post-exercise analytics.
Serverless computing is a cloud computing model that lets applications development process to center on the development of the business logic and no longer concern with managing the underlying infrastructure which all...
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the proceedings contain 201 papers. the topics discussed include: anti-eavesdropping in UAV secure communications: joint trajectory and power allocation optimization with two-way training;an efficient learning algorit...
ISBN:
(纸本)9798350324662
the proceedings contain 201 papers. the topics discussed include: anti-eavesdropping in UAV secure communications: joint trajectory and power allocation optimization with two-way training;an efficient learning algorithm for phase shift optimization in RIS-aided MISO wireless systems;edge node cooperation and resource sharing in mobile edge computing;flexible resource allocation scheme for non-overlapping subband full duplex systems;resource allocation and 3D trajectory optimization for relay communication of UAV swarm;slotted ALOHA-based URA scheme with index modulation for short block length;a hamming code based anti-frequency offset mapping scheme with LoRa modulation;joint local training and device scheduling for heterogeneous federated learning;information geometry approach for ultra-massive MIMO signal detection;and a low-latency routing scheme with traffic balancing for LEO satellite networks.
On demand services have become convenient and efficient in the digital world. In the recent years the popularity of the on-demand service-based applications is increasing rapidly as well. the people in the digital wor...
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thanks to the recent rapid development of 5G technology, multimedia communication services, such as live streaming and short movies, have attracted a lot of attention and are now a big component of people's daily ...
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Serverless computing emerged as a promising cloud computing paradigm for deploying cloud-native applications but raises new performance challenges. Existing performance evaluation studies focus on micro-benchmarking t...
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ISBN:
(纸本)9781665460873
Serverless computing emerged as a promising cloud computing paradigm for deploying cloud-native applications but raises new performance challenges. Existing performance evaluation studies focus on micro-benchmarking to measure an individual aspect of serverless functions, such as CPU speed, but lack an in-depth analysis of differences in application performance across cloud providers. this paper presents CrossFit, an approach for detailed and fair cross-provider performance benchmarking of serverless applications based on a providerindependent tracing model. Our case study demonstrates how detailed distributed tracing enables drill-down analysis to explain performance differences between two leading cloud providers, AWS and Azure. the results for an asynchronous application show that trigger time contributes most delay to the end-to-end latency and explains the main performance difference between cloud providers. Our results further reveal how increasing and bursty workloads affect performance stability, median latency, and tail latency.
Data security is becoming increasingly important as cloud computing advances. Data security is the fundamental problem of all distributedcomputingsystems. Cloud computing enables access to distributed applications a...
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Supervised deep learning (SDL) has shown remarkable success in various financial applications, such as stock prediction and fraud detection. However, SDL's reliance on class labels renders it unsuitable for portfo...
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