Realizing Edge Marketplaces: Challenges and Opportunities

Abstract

The edge of the network has the potential to host services for supporting a variety of user applications, ranging in complexity from data preprocessing, image and video rendering, and interactive gaming, to embedded systems in autonomous cars and built environments. However, the computational and data resources over which such services are hosted, and the actors that interact with these services, have an intermittent availability and access profile, introducing significant risk for user applications that must rely on them. This article investigates the development of an edge marketplace, which is able to support multiple providers for offering services at the network edge, and to enable demand supply for influencing the operation of such a marketplace. Resilience, cost, and quality of service and experience will subsequently enable such a marketplace to adapt its services over time. This article also describes how distributed-ledger technologies (such as blockchains) provide a promising approach to support the operation of such a marketplace and regulate its behavior (such as the GDPR in Europe) and operation. Two application scenarios provide context for the discussion of how such a marketplace would function and be utilized in practice. One of the potential business drivers for an edge marketplace using Internet of Things (IoT) devices, edge-computing resources, and data science is an enhanced ability to make quicker and

GDPR Compliant Blockchains–A Systematic Literature Review

“…That means the concerned organizations should delete the user data if the user requests for it. Since information inside the blockchain cannot be removed, it directly contradicts with Article 17 [28][29][30][31][32][33]. Technically, the same goes for Article 16 (right to rectification) also since data cannot be edited either [29], [34].…”

“…• Personal data stored in a local database (off-chain)[38]. • Original data can be stored in the off chain and the proof of existence can be stored on-chain using a hash[28,47,37,42,35]. • Key management protocols can be used that will be linked with the main chain with hashes [59,51,37,44]…”

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

“…1) Varghese et al [27] has listed out different challenges regarding the integration of edge and blockchain a. Blockchains are usually meant to store linear transactional data. But it is still obscure on how blockchain is going to handle complex data arrangements and queries that belong to edge market places.…”

Intelligent sentiment analysis approach using edge computing‐based deep learning technique

“…Only a few articles discuss the behavior of sentiment analysis on mobile devices and importance of edge computing. [16][17][18] Usually, these mobile applications act like client-side applications, which interact with the server or cloud by sending data and processing it remotely. Recently, some researchers have been working with a model that can predict emotions using mobile data.…”