Value‐aware cache replacement in edge networks for Internet of Things

Author(s):  
Ting Peng ◽  
Haohao Wang ◽  
Cangming Liang ◽  
Pingping Dong ◽  
Yehua Wei ◽  
...  
Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 452
Author(s):  
Nour Alhuda Sulieman ◽  
Lorenzo Ricciardi Celsi ◽  
Wei Li ◽  
Albert Zomaya ◽  
Massimo Villari

Edge computing is a distributed computing paradigm such that client data are processed at the periphery of the network, as close as possible to the originating source. Since the 21st century has come to be known as the century of data due to the rapid increase in the quantity of exchanged data worldwide (especially in smart city applications such as autonomous vehicles), collecting and processing such data from sensors and Internet of Things devices operating in real time from remote locations and inhospitable operating environments almost anywhere in the world is a relevant emerging need. Indeed, edge computing is reshaping information technology and business computing. In this respect, the paper is aimed at providing a comprehensive overview of what edge computing is as well as the most relevant edge use cases, tradeoffs, and implementation considerations. In particular, this review article is focused on highlighting (i) the most recent trends relative to edge computing emerging in the research field and (ii) the main businesses that are taking operations at the edge as well as the most used edge computing platforms (both proprietary and open source). First, the paper summarizes the concept of edge computing and compares it with cloud computing. After that, we discuss the challenges of optimal server placement, data security in edge networks, hybrid edge-cloud computing, simulation platforms for edge computing, and state-of-the-art improved edge networks. Finally, we explain the edge computing applications to 5G/6G networks and industrial internet of things. Several studies review a set of attractive edge features, system architectures, and edge application platforms that impact different industry sectors. The experimental results achieved in the cited works are reported in order to prove how edge computing improves the efficiency of Internet of Things networks. On the other hand, the work highlights possible vulnerabilities and open issues emerging in the context of edge computing architectures, thus proposing future directions to be investigated.


Author(s):  
Agnese V. Ventrella ◽  
Flavio Esposito ◽  
Alessio Sacco ◽  
Matteo Flocco ◽  
Guido Marchetto ◽  
...  

Author(s):  
Chih-Hang Wang ◽  
Jian-Jhih Kuo ◽  
De-Nian Yang ◽  
Wen-Tsuen Chen

Daedalus ◽  
2016 ◽  
Vol 145 (1) ◽  
pp. 33-42
Author(s):  
Peter T. Kirstein

This paper considers how existing concepts underlying the development of the Internet are being strained in the emerging Internet of Things (IoT). It also explores how the well-known and tried Domain Name Service concepts, which map hierarchic names to addresses, can be extended for the IoT. The extension greatly broadens the concept of name/address mapping to digital objects with identifier/attribute database mapping for physical objects, applications, and data. Finally, this essay discusses the properties of the identifier management systems, showing how scalability, security, and flexibility can be supported in the IoT.


In-network caching within the distributed computing is one of the most promising aspects of Information-Centric Networking (ICN) in comparison with traditional centralized server based data retrieval. With ICN, it can ensure that required data is readily available within the intermediate IoT routers, even when the original producer is not reachable. However, in Internet of Things (IoT), where the storage capacity is often severely limited, IoT nodes cannot simply cache any and all the content that will receive to the intermediate caching device(routers). Hence, it is very significant to know which content has to cache and how long the content has to be in the intermediate caching device. Moreover, cache-based routing plays a predominant role in reducing the end-to-end delay with enhanced network throughput by efficiently discovering the shortest-path from the intermediate caching devices in ICN-IoT networks. In this paper, comparison of different cache based routing protocols for ICN-IoT networks is discussed in terms of ICN caching and cache replacement strategies along with the performance metrics suitable for evaluating in an IoT context.


2020 ◽  
Vol 7 (9) ◽  
pp. 7991-7998
Author(s):  
Kuai Xu ◽  
Feng Wang ◽  
Sergio Jimenez ◽  
Andrew Lamontagne ◽  
John Cummings ◽  
...  

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