A Fountain-Coding Based Cooperative Jamming Strategy for Secure Service Migration in Edge Computing

Cui, Mengmeng; Zhang, Haochen; Huang, Yong; Xu, Zhezhuang

doi:10.1007/s11276-020-02537-3

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…The data access platform is responsible for classifying and processing the data sent from the edge side. The intelligent AI platform performs big data analysis on the data processed by the data access platform, performs calculations and modeling, and builds a historical database [ 28 ]. The container mirroring platform is responsible for backing up various data and performing functional analysis.…”

Section: Analysis Of the Theory And Methods Of Ec Applied To Urban Sc...mentioning

confidence: 99%

The Usage of Designing the Urban Sculpture Scene Based on Edge Computing

Zhu

2022

Computational Intelligence and Neuroscience

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To not only achieve the goal of urban cultural construction but also save the cost of urban sculpture space design, EC (edge computing) is combined with urban sculpture space design and planning first. Then it briefly discusses the service category, system architecture, advantages, and characteristics of urban sculpture, as well as the key points and difficulties of its construction, and the layered architecture of EC for urban sculpture spaces is proposed. Secondly, the cloud edge combination technology is adopted, and the urban sculpture is used as a specific function of the edge system node to conduct an in-depth analysis to build an urban sculpture safety supervision system architecture platform. Finally, the actual energy required for implementation is predicted and evaluated, the specific monitoring system coverage is set up, and some equations are made for calculating the energy consumption of the monitored machines according to the number of devices and route planning required by the urban sculpture safety supervision system. An optimization algorithm for energy consumption is proposed based on reinforcement learning and compared with the three control groups. The results show that when the seven monitoring devices cover detection points less than 800, the required energy consumption increases linearly. When the detection devices cover more than 800 detection points, the required energy consumption is stable and varies from 10000 to 12000; that is, when the number of monitoring devices is 7, the optimal number of monitoring points is about 800. When the number of detection points is fixed, increasing the number of monitoring devices in a small range can reduce the total energy consumption. The optimization algorithm based on the reinforcement learning proposal can obtain an approximate optimal solution. The research results show that the combination of edge computing and urban sculpture can expand the function of urban sculpture and make it serve people better.

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Section: Analysis Of the Theory And Methods Of Ec Applied To Urban Sc...mentioning

confidence: 99%

The Usage of Designing the Urban Sculpture Scene Based on Edge Computing

Zhu

2022

Computational Intelligence and Neuroscience

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“…It is more applicable for one-to-one data delivery than one-to-many data delivery due to large number of feedbacks needed to be sent by the receivers to the sender thereby consuming more bandwidth and delay. Also, there is a variety of applications of LT codes including robust distributed storage, delivery of streaming content, delivery of content to mobile clients in wireless networks, peer-to-peer applications and delivery of content along multiple paths to ensure resiliency to network disruptions [18][19][20][21][22][23]. A distributed storage system can be any of the three types of storage: block, file, or object.…”

Section: Applicationsmentioning

confidence: 99%

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

Ignatius¹,

Selvakumar²

2022

Intelligent Automation &Amp; Soft Computing

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In today's digital environment, large volume of digital data is created daily and this data accumulates to unforeseen levels. Industries are finding it increasingly difficult to store data in an effective and trustworthy manner. Distributed storage appears to be the greatest approach for meeting current data storage demands at the moment. Furthermore, due to disc crashes or failures, efficient data recovery is becoming an issue. At present, new data storage techniques are required in order to restore data effectively even if some discs or servers are crashed. Hence, this proposed work aims to improve the storage efficiency and reliability in distributed storage systems (DSSs) to withstand disk failures and data erasures by modifying the degree distribution of Luby Transform (LT) codes. Recently, deriving an optimal degree distribution in LT codes becomes an upcoming research field. Hence, in this work, a novel approach called Lower Triangular Matrix (LTM) based degree distribution is presented for LT encoding. Unlike the traditional schemes such as Robust Soliton Distribution (RSD), there is no need for transmitting the neighbor symbols information along with each and every encoded symbol using LTM-LT codes which results in an efficient utilization of the bandwidth. Further, the overhead of LTM encoder is reduced by performing only one XOR operation for the generation of every new encoded symbol. The performance of LTM-LT codes is evaluated in terms of varying data erasure and disk failure conditions. Simulation results show that the proposed LTM-LT codes perform better compared to the traditional schemes such as RSD used for LT codes in Distributed Storage System.

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“…Erasure codes, specifically fountain codes, are rateless in the sense that they do not exhibit a fixed code rate but are adapted to the channel conditions. The original data are split into k equal blocks, and then encoded independently and randomly, according to a degree distribution which determines the number of blocks to be exclusive-or-ed into n encoded blocks using an (n, k) maximum distance separable code [16]; this is referred to as the (n, k) fountain code (see Figure 1). One of the properties of fountain coding is that the receiver can retrieve the original transport block (TB) from any subset (k + ) of encoded blocks; where 0 ≤ ≤ n − k. Thus, the decoder starts decoding the message once the first k encoded blocks are received using the sum-product algorithm [16].…”

Section: Reliable Low-latency Fronthaul Modelmentioning

confidence: 99%

An SDR-Based Experimental Study of Reliable and Low-Latency Ethernet-Based Fronthaul with MAC-PHY Split

Mountaser

Mahmoodi

2021

Future Internet

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Cloud-Radio Access Network (RAN) is one of the architectural solutions for those mobile networks that aim to provide an infrastructure that satisfies the communication needs of a wide range of services and deployments. In Cloud-RAN, functions can be flexibly split between central and distributed units, which enables the use of different types of transport network. Ethernet-based fronthaul can be an attractive solution for Cloud-RAN. On the one hand, the deployment of Ethernet-based fronthaul enables Cloud-RAN to provide more diverse, flexible and cost-efficient solutions. On the other hand, Ethernet-based fronthaul requires packetized communication, which imposes challenges to delivering stringent latency requirements between RAN functionalities. In this paper, we set up a hardware experiment based on Cloud-RAN with a low layer split, particularly between medium access control and the physical layer. The aim is to demonstrate how multi-path and channel coding over the fronthaul can improve fronthaul reliability while ensuring that: (i) latency results meet the standard requirements; and (ii) the overall system operates properly. Our results show that the proposed solution can improve fronthaul reliability while latency remains below a strict latency bound required by the 3rd Generation Partnership Project for this functional split.

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A Fountain-Coding Based Cooperative Jamming Strategy for Secure Service Migration in Edge Computing

Cited by 8 publications

References 34 publications

The Usage of Designing the Urban Sculpture Scene Based on Edge Computing

The Usage of Designing the Urban Sculpture Scene Based on Edge Computing

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

An SDR-Based Experimental Study of Reliable and Low-Latency Ethernet-Based Fronthaul with MAC-PHY Split

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