Data Replication in Mobile Edge Computing Systems to Reduce Latency in Internet of Things

Saranya, N.; Geetha, K.; Rajan, C.

doi:10.1007/s11277-020-07168-7

Cited by 25 publications

(24 citation statements)

References 18 publications

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“…rough the collection of related literature, such as books, literature, network, television, and paper media, although the relevant knowledge about the application of Internet technology in sports tourism services is not extensive, it can be seen that the technology is getting more and more attention. Although the content level of research related knowledge is uneven, the common point of all research content is to realize the efficient integration, sharing, and application of sports tourism service resources and data, so as to achieve the improvement of sports tourism service quality [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

Zheng¹,

Mei

Hou

et al. 2021

Security and Communication Networks

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Aiming at the problems of long retrieval time of sports tourism data, high integration error of sports tourism data, and high energy consumption of sports tourism service management in traditional methods, the application of Internet of Things and edge computing technology in sports tourism services is proposed. We established a sports tourism service application model based on Internet technology to realize the functions of sports tourism service internal management control, external collaboration, and information release. We calculated the similarity of sports tourism resources from the two levels of feature words and the environment where the sports tourism resources are located. According to the calculation results, the edge computing method is used to realize the integration of sports tourism service resources to improve the application effect of sports tourism service application models. The experimental results show that the minimum data retrieval time of the proposed method is only 2.35s. The sports tourism data fusion error is low. The management energy consumption is small, which significantly improves the existing problems and fully verifies the practical application value of the method.

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Section: Introductionmentioning

confidence: 99%

Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

Zheng¹,

Mei

Hou

et al. 2021

Security and Communication Networks

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“…As a result, any IoT data may be copied, and all data pieces may be saved in multiple geological regions with the use of edge computing-based storage. It can significantly reduce the risk of data loss [34,35]. Figure 3 summarizes the role of edge computing in the IoT.…”

Section: What Is the Necessity Of Data Replication And Placement Techniques In Iot And Edge Computing Platforms?mentioning

confidence: 99%

“…Edge computing is developing as the modern paradigm that meets the demands of localized computing and the IoT by utilizing this as a method to reduce resource congestion [35]. It is a novel technology that lets media be streamed across a network's edge [50].…”

Section: Data Replication and Placement Techniques In Edge Computingmentioning

confidence: 99%

Replica selection and placement techniques on the IoT and edge computing: a deep study

Shao

Huang

2021

Wireless Netw

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Internet of Things (IoT) has lately been presented as a new technological transformation in which things are connected via the Internet. Several sensors and devices create data and send vital signals constantly over sophisticated networks that allow machine-to-machine interactions and monitor and manage key smart-world infrastructures. Since huge amounts of data are generated, reducing the data access costs is a critical issue. Edge computing has been developed as a novel paradigm for solving IoT demands to reduce the rise in resource congestion. One of the most significant data management challenges in the IoT is selecting suitable replication things that minimize reaction time and cost. Therefore, our goal is to examine replica selection and placement techniques in IoT and edge computing. The findings revealed that the edge computing environment might significantly enhance system performance regarding access response time, prediction accuracy, effective network, and increased data availability. Furthermore, the results illustrate that data provenance is necessary to raise the accuracy of the data by. Also, the results showed that the most important challenge in data replication and placement techniques in IoT and edge computing was the availability of data and access response time.

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“…The most commonly used criterion to determine the degree of similarity between points in the clustering algorithm is to use the Euclidean distance and Mahalanobis distance between two points [18,19]. Generally, the Euclidean distance in the r-dimensional feature space can be expressed as The Mahalanobis distance can be expressed as…”

Section: Clustering Algorithmmentioning

confidence: 99%

Application of Mobile Edge Computing Technology in Civil Aviation Express Marketing

2021

Wireless Communications and Mobile Computing

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With the popularization of mobile terminals and the rapid development of mobile communication technology, many PC-based services have placed high demands on data processing and storage functions. Cloud laptops that transfer data processing tasks to the cloud cannot meet the needs of users due to low latency and high-quality services. In view of this, some researchers have proposed the concept of mobile edge computing. Mobile edge computing (MEC) is based on the 5G evolution architecture. By deploying multiple service servers on the base station side near the edge of the user’s mobile core network, it provides nearby computing and processing services for user business. This article is aimed at studying the use of caching and MEC processing functions to design an effective caching and distribution mechanism across the network edge and apply it to civil aviation express marketing. This paper proposes to focus on mobile edge computing technology, combining it with data warehouse technology, clustering algorithm, and other methods to build an experimental model of MEC-based caching mechanism applied to civil aviation express marketing. The experimental results in this paper show that when the cache space and the number of service contents are constant, the LECC mechanism among the five cache mechanisms is more effective than LENC, LRU, and RR in cache hit rate, average content transmission delay, and transmission overhead. For example, with the same cache space, ATC under the LECC mechanism is about 4%~9%, 8%~13%, and 18%~22% lower than that of LENC, LRU, and RR, respectively.

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Data Replication in Mobile Edge Computing Systems to Reduce Latency in Internet of Things

Cited by 25 publications

References 18 publications

Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

Replica selection and placement techniques on the IoT and edge computing: a deep study

Application of Mobile Edge Computing Technology in Civil Aviation Express Marketing

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