SmartEdge: A Smart Contract for Edge Computing

Wright, Kwame-Lante; Martinez, Martin; Chadha, Uday; Krishnamachari, Bhaskar

doi:10.1109/cybermatics_2018.2018.00281

Cited by 28 publications

(16 citation statements)

References 6 publications

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“…Wang et al [96] PoRX Proof-of-Reputation-X (PoRX) is a reputation incentive scheme for blockchain consensus of Industrial Internet of Things. Wright et al [104] SmartEdge SmartEdge is an Ethereum-based smart contract for edge computing. It is a low-cost, low-overhead tool for compute-resource management.…”

Section: Data Management-centric Solutionsmentioning

confidence: 99%

Blockchain smart contracts: Applications, challenges, and future trends

Khan

Loukil

Ghedira-Guegan

et al. 2021

Peer-to-Peer Netw. Appl.

405

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In recent years, the rapid development of blockchain technology and cryptocurrencies has influenced the financial industry by creating a new crypto-economy. Then, next-generation decentralized applications without involving a trusted third-party have emerged thanks to the appearance of smart contracts, which are computer protocols designed to facilitate, verify, and enforce automatically the negotiation and agreement among multiple untrustworthy parties. Despite the bright side of smart contracts, several concerns continue to undermine their adoption, such as security threats, vulnerabilities, and legal issues. In this paper, we present a comprehensive survey of blockchain-enabled smart contracts from both technical and usage points of view. To do so, we present a taxonomy of existing blockchain-enabled smart contract solutions, categorize the included research papers, and discuss the existing smart contract-based studies. Based on the findings from the survey, we identify a set of challenges and open issues that need to be addressed in future studies. Finally, we identify future trends.

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Section: Data Management-centric Solutionsmentioning

confidence: 99%

Blockchain smart contracts: Applications, challenges, and future trends

Khan

Loukil

Ghedira-Guegan

et al. 2021

Peer-to-Peer Netw. Appl.

405

View full text Add to dashboard Cite

show abstract

“…Wright et al [144] introduced SmartEdge, Ethereum based smart contracts for the edge computing as a low-cost and lowoverhead tool for compute-resource management. The smart contract consists with five different states for transition within its lifetime.…”

Section: Smart Contracts For Scalable Resource Sharing Of Iotmentioning

confidence: 99%

Survey on blockchain based smart contracts: Applications, opportunities and challenges

Hewa

Ylianttila

Liyanage

2021

Journal of Network and Computer Applications

278

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Blockchain is one of the disruptive technical innovation in the recent computing paradigm. Many applications already notoriously hard and complex are fortunate to ameliorate the service with the blessings of blockchain and smart contracts. The decentralized and autonomous execution with in-built transparency of blockchain based smart contracts revolutionize most of the applications with optimum and effective functionality. The paper explores the significant applications which already benefited from the smart contracts. We also highlight the future potential of the blockchain based smart contracts in these applications perspective.

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“…Wright et al. [ 43 ] presented a smart contract that is based on smart edge using the Ethereum platform. The defined platform enables offload calculation on nodes in a reliable way to verify edge devices in the trade of payment.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms

Jamil

Kahng

Kim

et al. 2021

Sensors

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Blockchain technology has recently inspired remarkable attention due to its unique features, such as privacy, accountability, immutability, and anonymity, to name of the few. In contrast, core functionalities of most Internet of Things (IoT) resources make them vulnerable to security threats. The IoT devices, such as smartphones and tablets, have limited capacity in terms of network, computing, and storage, which make them easier for vulnerable threats. Furthermore, a massive amount of data produced by the IoT devices, which is still an open challenge for the existing platforms to process, analyze, and unearth underlying patterns to provide convenience environment. Therefore, a new solution is required to ensure data accountability, improve data privacy and accessibility, and extract hidden patterns and useful knowledge to provide adequate services. In this paper, we present a secure fitness framework that is based on an IoT-enabled blockchain network integrated with machine learning approaches. The proposed framework consists of two modules: a blockchain-based IoT network to provide security and integrity to sensing data as well as an enhanced smart contract enabled relationship and inference engine to discover hidden insights and useful knowledge from IoT and user device network data. The enhanced smart contract aims to support users with a practical application that provides real-time monitoring, control, easy access, and immutable logs of multiple devices that are deployed in several domains. The inference engine module aims to unearth underlying patterns and useful knowledge from IoT environment data, which helps in effective decision making to provide convenient services. For experimental analysis, we implement an intelligent fitness service that is based on an enhanced smart contract enabled relationship and inference engine as a case study where several IoT fitness devices are used to securely acquire user personalized fitness data. Furthermore, a real-time inference engine investigates user personalized data to discover useful knowledge and hidden insights. Based on inference engine knowledge, a recommendation model is developed to recommend a daily and monthly diet, as well as a workout plan for better and improved body shape. The recommendation model aims to facilitate a trainer formulating effective future decisions of trainee’s health in terms of a diet and workout plan. Lastly, for performance analysis, we have used Hyperledger Caliper to access the system performance in terms of latency, throughput, resource utilization, and varying orderer and peers nodes. The analysis results imply that the design architecture is applicable for resource-constrained IoT blockchain platform and it is extensible for different IoT scenarios.

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SmartEdge: A Smart Contract for Edge Computing

Cited by 28 publications

References 6 publications

Blockchain smart contracts: Applications, challenges, and future trends

Blockchain smart contracts: Applications, challenges, and future trends

Survey on blockchain based smart contracts: Applications, opportunities and challenges

Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms

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