COMPUTATION OFFLOADING BASED ON A DISTRIBUTED OVERLAY NETWORK CACHE-SHARING MECHANISM IN MULTI-ACCESS EDGE COMPUTING

Computation Offloading Based on a Distributed Overlay Network Cache-Sharing Mechanism in Multi-Access Edge Computing

Multi-access edge computing (MEC) enhances service quality for users and reduces computational overhead by migrating workloads and application data to the network edge.However, current solutions for task Hardware offloading and cache replacement in edge scenarios are constrained by factors such as communication bandwidth, wireless network coverage,

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WHY IN VARIOUS PARTY AND MOVING TO OTHER POLITICS PARTIES: A CASE STUDY OF CHINESE ETHNIC IN INDONESIA, NORTH SUMATRA PROVINCE

Chinese Ethnic in Indonesia as a minority ethnic in terms of population number and religion, but on the other hand, it is understood as an ethnic that majority control the private economic sector.Political freedom of Chinese ethnic was only gained when the New Order regime ended in 1998.General elections in 1999 as the initial of Indonesia entered

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Detection of mercury ions using silver telluride nanoparticles as a substrate and recognition element through surface-enhanced Raman scattering

In this paper we unveil a new sensing strategy for sensitive and selective detection of Hg2+ through surface-enhanced Raman scattering (SERS) using Ag2Te nanoparticles (NPs) as a substrate and Ski de fond - Enfant - Bottes recognition element and rhodamine 6G (R6G) as a reporter.Ag2Te NPs prepared from tellurium dioxide and silver nitrate and hydra

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Forward-Looking Geometric Configuration Optimization Design for Spaceborne-Airborne Multistatic Synthetic Aperture Radar

Spaceborne-airborne multistatic synthetic aperture radar (SA-MuSAR) has the ability to provide high-resolution forward-looking imagery for receivers, but it relies on careful design Timer Knob Bezel of the geometric configuration (GC).In this article, a forward-looking GC optimization design method is proposed to obtain a high-quality fused image w

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Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.

Accuracy of transcript quantification with RNA-Seq is negatively affected by positional fragment bias.This article introduces Mix2 (rd."mixquare"), a transcript quantification method which uses a mixture of probability distributions to model and thereby neutralize the effects of positional fragment bias.The parameters of Mix2 are trained by Expecta

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