Distributed Ledger Technologies for Managing Heterogenous Computing Systems at the Edge
Daniel Montero Hern\'andez, Jorge Pe\~na Queralta, Tomi Westerlund

TL;DR
This paper explores using distributed ledger technologies, specifically blockchain smart contracts, to improve edge computing for IoT systems by enabling efficient node selection and task offloading in dynamic, heterogeneous networks.
Contribution
It introduces a novel system integrating blockchain smart contracts with network performance metrics to optimize edge node selection for IoT offloading.
Findings
Demonstrated the feasibility of using blockchain smart contracts for edge node selection.
Showed the system's adaptability to various network topologies.
Validated the approach through experimental results.
Abstract
The increased use of Internet of Things (IoT) devices -- from basic sensors to robust embedded computers -- has boosted the demand for information processing and storing solutions closer to these devices. Edge computing has been established as a standard architecture for developing IoT solutions, since it can optimize the workload and capacity of systems that depend on cloud services by deploying necessary computing power close to where the information is being produced and consumed. However, as the network scale in size, reaching consensus becomes an increasingly challenging task. Distributed ledger technologies (DLTs), which can be described as a network of distributed databases that incorporate cryptography, can be leveraged to achieve consensus among participants. In recent years DLTs have gained traction due to the popularity of blockchains, the most-well known type of…
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Mobile Crowdsensing and Crowdsourcing
